Sunday assorted links

1. Deirdre economics reading list.

2. The 1878 entrance exam for the British India civil service.

3. How good is Opus 5 on biology?

4. “A linguistic “golden age” flourished between 1,000 to 3,000 years ago when tens of thousands of languages were spoken throughout the world, according to a new study coauthored by Yale linguist Claire Bowern that traces trajectories in global language diversity over the past 12,000 years.” Link here.

5. Feline decentralized Italian mob fire attacks.

6. First Neuromancer trailer released.

7. Good Maureen Dowd review, the de-eroticized Homer (NYT).  Excellent piece, many of you underrate her.

The post Sunday assorted links appeared first on Marginal REVOLUTION.

       

Comments

 

Sitting down with Senra

Jason and I have been making the same argument for over a quarter of a century now: Small teams can do incredible things when they embrace their constraints. And when they work in software or media or other intellectual realms, they don't need loads of capital to get going, so they can skip the investor rat race, focus on their edge, and find customers to fund the journey.

With the rise of AI, this argument has never been more potent. When Jason and I got started, you could only do this if you had the skills to build everything with your own hands. You had to be a designer or a programmer to skip taking other people's money. But now, incredibly, The Idea Guy really does have a place and a path.

This old-and-new reality is what I sat down to talk with David Senra about in Malibu. Which was kinda meta, because Senra himself has run our playbook, built an incredible podcast success, and is killing it without investors to answer to as well.

And while it's not just about the money, the money is nice too! That's a central part of this claim. Making "yellow Lamborghini money" is far more achievable when it can be done bootstrapping a business to, say, $5–10M/year in revenue. No venture capitalist is going to let you settle for that! They'd rather kill the business than let it stall out there. It's unicorn or bust.

That's their business model. And it's fine, btw! I've actually come to appreciate far more the fruits of these big bets than I did when we got started. The world needs Shopify, Spotify, and SpaceX, to take just three examples of VC-powered success stories starting with S.

But you have to know what you want. If your aspiration is to run a meaningful part of world commerce or send rockets to Mars, I think you should swing for those fences, knowing that the odds are stacked sorely against you. I'm just not that ambitious!

What I am, at times, is obsessed with quality, control, and independence. And we stayed a "lifestyle business" primarily because Jason and I shared that obsession. Letting nobody tell us no, having zero expectations to carry but our own, and just focusing on building great software with a small team of superb employees with the best odds we could arrange.

Senra and I talk about this in many different ways. Like how James Cameron's original Terminator movie, shot on a shoestring, is a far superior movie to Avatar because of the constraints. Or how this Polish kid Vaxry was able to make a far more compelling window manager from his dormitory than Apple or Microsoft could do with a trillion-dollar market cap. Constraints provide the pressure that produce diamonds.

But we also talked about the bigger threats to business than just whether you take funding or not. How the early 2020s saw a horde of White Walkers march upon the Wall, and how entrepreneurs of all stripes eventually came to see the common threat to capitalism, prosperity, and self-determination in woke menance. And how Marc Andreessen turned out to be pivotal in our personal battle with these malevolent forces. Fate loves irony!

Anyway, if any of these topics resonate, I think you'll appreciate the episode. It's also less demanding on your time than the Lex marathon from last summer, and you'll only be asked for an hour and a half of your time. Enjoy!

w/e 2026-07-26

I got back to smashing up the concrete on the old broken pond this week, something I’d put on hold, what with needing to get scything done and my toe not supporting much weight recently. I did two brief stints with the sledgehammer, the second swiftly aborted after the hammer rebounded at an odd angle and its handle hit me on the side of my already-achy left knee. Twice.

I was concerned I’d done some serious damage given how, despite ice and ibuprofen, it felt pretty bad by the end of the day. But I woke up the next morning and could barely feel a thing. A summer miracle!

There was (and still is) a bit of stubborn concrete still to smash, but getting rid of the debris has always concerned me. There’s a lot of it and I had no idea whether if I posted a photo on a local Facebook group I’d be fighting off men desperate to fill in holes, or else I’d be met only with silence and my assumption that everyone was thinking, “Who’s this weirdo who thinks anyone wants a load of broken concrete lol?!”

A photo of a pond-sized dip in the grass full of broken concrete. In front is a pile of broken concrete. Behind it is another pile of broken concrete.

But the week of miracles continued: the day after posting, a guy came round and we spent about 2½ hours together wheelbarrowing the fragments up a short slope and up into his big trailer. Just like that! I thought that maybe someone would offer to leave a container on our drive for me to fill with concrete… which I realise now would have taken me alone a long, long time.

A photo of a white pickup truck towing a four-wheeled metal trailer with sides, full of broken concrete. A wheelbarrow is on top, upside-down. In he background is a hedge and fields.

I think it’s gone to shore up the bank of a nearby river that flooded over the winter.

So, once I’ve finished smashing that last little bit of concrete still in the old pond, and pulled up the rusty wire sticking out of the bottom, I’ll be able to get started on re-shaping it. Maybe in a few weeks.


§ Bits:

  • I had been looking forward to saying that after six weeks my toe was, at last, 100% better. But it’s still a bit painful if I put a lot of weight just on it. I’m glad I’m not a runner because I would be extremely frustrated at waiting longer by now.

  • Scything continues, although at a slower pace than the first week or so. It’s harder to summon up the enthusiasm to be up very early to do it in the cool now. I’m more than half-way through the lot though, and I’ve easily hit the deadline of making enough space for the marquee for next weekend’s family birthday party.

  • Our 4G internet has been really pretty bad the latter half of the week: most of the time less than 1 Mbps. I think the directional aerial latches on to a strong-but-not-very-useful cell rather than the usual weak-but-faster one. There’s not much we can ever do really. I can see why people and civilisations end up creating rituals in the hope of good outcomes for things they have limited control over (weather, crops, hunting, etc.). It’s only a matter of time before I’m making dawn sacrifices to the wondrous god Three, bless Its eternal name, for It is truly the Magic Number.

  • There’s a lot of harvesting going on round here, with the rumble of machinery audible from distant fields, off and on. Driving anywhere there’s a pretty good chance that you’ll either end up following a very large tractor towing a very long trailer loaded with very heavy cylindrical hay bales or, worse, find yourself suddenly nose-to-nose with one. Thankfully my reversing-along-country-lanes skill has improved over the past few years.

  • I finished re-reading Douglas Coupland’s Generation X this week. I have another post about that waiting for me to make it readable, so I’ll say no more here.

  • Not a good week for the brain, but what is there to say about that really?


§ I watched Decision to Leave (Park Chan-wook, 2022) this week and it was only when going to log this on Letterboxd that I’d seen it before. Less than three years ago! What even is the point? There were a couple of scenes where I had a strong feeling of déjà vu, but little more, assuming I’d seen something similar in a different film or show. My opinion hasn’t changed; good at first but still too long. T

And we watched Mission: Impossible – Ghost Protocol (or #4) (Brad Bird, 2011) which was alright. Less good than #3 but better than #1 and #2. Previous ones were unbelievable but carried you along with it. This was often just too silly and the added Simon Pegg humour detracted a lot from the “serious action thriller” side of things. But on we go.


Read comments or post one

Indigenous Leaders Give the UN A Roadmap for Protecting Their Peoples

Grist logo

A new 12-point plan calls for stronger protections for Indigenous rights, lands, and voices as climate change, conflict, and other threats intensify.

This story is published through Grist and the Indigenous News Alliance.

Indigenous communities around the world face mounting, and colliding, impacts from climate change, violence, rising threats from artificial intelligence, and many other crises. Their leaders are demanding that the world take action, and they’ve given the United Nations a 12-point plan for what they say it must do.

Simply put, their proposal calls on the U.N. and governments around the world to take sweeping and rapid action to protect Indigenous land, rights, and lives.

“Our communities — our women, our children, our families — they have a right to action and that’s what we’re not seeing globally,” said Cora McGuire-Cyrette, who is a member of the Bingwi Neyaashi Anishinaabek and spoke on behalf of the Ontario Native Women’s Association. “We’re looking for action.”

Last week, the seven Indigenous members of the United Nations Expert Mechanism on the Rights of Indigenous Peoples, or EMRIP, finalized the proposal it will present to the U.N. Human Rights Council. But even as the recommendations generated hope for change, the financial crisis facing EMRIP cast a shadow over the proceedings. Many delegates expressed concerns about the future of the forum, and other hard-won international platforms for Indigenous voices.

Given the scale of threats Indigenous peoples face, these forums are more important than ever, said Sheryl Lightfoot, who is Anishinaabe and serves as EMRIP’s North America region expert.  “There’s clearly no shortage of work,” she said.

The breadth of the 12 recommendations reflects that urgency, calling for stronger protections for Indigenous cultures and rights and a greater voice in global affairs.

One recommendation sought greater protections for remote Indigenous peoples living in voluntary isolation or initial contact. Others stressed the need to preserve Indigenous languages and data sovereignty.

Delegates also argued that the legal standing of Indigenous peoples must be strengthened by recognizing their rights as distinct from broader human rights and by fully implementing the U.N. Declaration on the Rights of Indigenous Peoples. They also called on the U.N. to increase Indigenous participation within the Human Rights Council and encourage member states to engage more fully with EMRIP.

Albert Barume is the U.N. special rapporteur on the rights of Indigenous peoples and EMRIP’s former chairperson. He told the delegates about what he called a widespread trend of “stagnation and regression” for human rights. “In the last years,” he said, “almost no single states have taken a new measure protecting Indigenous peoples’ rights. And states that had legal and policy frameworks are actively dismantling and regressing.”

Macy Duxfield, who is Māori and belongs to the Ngaa Rauru, Te Ātihaunui-a-Papārangi, and Ngāi Tahu nations, described Aotearoa New Zealand’s policies toward Indigenous peoples as regressive. But she reminds herself of the continual work that’s still needed to overcome the challenges her people face. “We exist in this moment,” she said. “We’ve inherited the work from our ancestors, and we pass it on to our descendants.”

McGuire-Cyrette and others also reminded delegates about the importance of greater autonomy for Indigenous women and girls. “We recommend the inclusion of Indigenous women in all decisions that impact our lives, our families, and our nations,” McGuire-Cyrette said.

But even as Indigenous delegates try to use international forums to fight for change, those mechanisms are in danger. EMRIP is among the three U.N. bodies focused on Indigenous peoples — along with the Permanent Forum on Indigenous Issues and the special rapporteur on the rights of Indigenous peoples. All three agencies face an uncertain future due to dwindling financial support.

Marjolaine Étienne, who is Innu from the Pekuakamiulnuatsh community of Mashteuiatsh in Quebec, told delegates the U.N. Voluntary Fund for Indigenous Peoples needs greater support. The program helps Indigenous representatives cover the costs of attending international meetings. The number of representatives the fund supports is already perilously low, she said. Without greater state contributions, fewer delegates will be able to attend those forums, sidelining them from the international stage.

Just eight countries contribute to the fund, and its budget is less than $2 million. Only three countries contributed to the U.N. Trust Fund for Indigenous Peoples. The United States does not contribute to either of them.

“The liquidity crisis must not be used as an excuse to limit the mandate of EMRIP and to reduce the frequency or depth of country engagements or follow-up,” McGuire-Cyrette said.

Lightfoot acknowledged there is widespread uncertainty within EMRIP and all U.N. bodies amid the agency-wide reform effort known as UN80. But she said EMRIP is preparing for whatever happens. “There are a lot of unanswered questions right now” about the reforms, she said, “and what the impacts of that might be for Indigenous-specific mechanisms.”

“I don’t know where we’re going,” she said. “I don’t know what kind of efficiencies the U.N. will ask of us. But I know we are thinking it through because we want to be ready to respond.”


“FREEDOM OF THE PRESS IS NOT JUST IMPORTANT TO DEMOCRACY, IT IS DEMOCRACY.” – Walter Cronkite. CLICK HERE to donate in support of our free and independent voice.

The post Indigenous Leaders Give the UN A Roadmap for Protecting Their Peoples appeared first on DCReport.org.

EU Fines Google $1 Billion for DMA Competition Violations, Including Making Search Results More Useful

The European Commission on Thursday:

The Commission found that Google gives preferential treatment to its own services, including shopping, hotels, transport and sports results, over those of third parties in Google Search, thereby breaching its obligations under the DMA.

Google displays its own services more prominently in search results, including at the top of the search results page or by using enhanced visuals and filters, while similar third-party services do not have the same prominence.

So if you search for the score of a sporting event, it’s illegal in the EU for Google to show you the score, like this search I just tried. What the EC is saying is that because Google Search is so popular, it’s no longer allowed to improve. It is utterly impossible to imagine how this is for the benefit of EU citizens.

What generates more for the EU, fines against US tech companies, or tax income from EU tech companies? Here’s a viral post on Twitter/X that claims it’s now fines against US tech companies. The amounts certainly seem to be in the same ballpark.

 ★ 

Court Grants SerpApi’s Motion to Dismiss Google Lawsuit

Julien Khaleghy, CEO of SerpApi:

The U.S. District Court for the Northern District of California granted our motion to dismiss Google’s lawsuit, marking a win not just for SerpApi, but for all who depend on an open internet. We’re pleased that the court rejected Google’s attempts to expand the DMCA to assert control over access to public pages. The internet’s founding principle — open access to usable information — is essential to driving innovation and ensuring everyone benefits from the promise of data. SerpApi will continue supporting developers, AI companies, researchers, and businesses that rely on access to public search information.

Yours truly, back in March, when SerpApi filed the motion to dismiss:

I’ve come around on SerpApi in the last few months. My initial take was that it surely must be illegal for a company to scrape Google’s search results and offer access to that data as an API. But I’ve come around to the argument that what SerpApi is doing to obtain Google search results is, well, exactly how Google scrapes the rest of the entire web to build its search index. It’s all just scraping publicly accessible web pages.

This December piece by Mike Masnick at Techdirt is what began to change my mind.

Even Google seems to understand the logical bind they’re in here, regarding scraping.

 ★ 

Apple Maps to Power Navigation Experience for Ford’s New EVs

Apple Newsroom:

Apple and Ford today announced that Apple Maps will be integrated directly into Ford’s upcoming Universal Electric Vehicle (UEV) Platform through Apple’s new MapKit for Automotive SDK. Coming to Ford’s UEV Platform in 2027, this integration will deliver a beautiful and easy-to-use navigation experience powered by Apple Maps directly to the vehicle’s displays. Road-level Maps information will also enable Ford’s Latitude AI team to build a seamless hands-free driving experience.

See also: Techmeme’s roundup of commentary.

 ★ 

Measles Cases Hit New Record in U.S., as Stupid-Americans Reject Vaccines

Teddy Rosenbluth, reporting for The New York Times:

On Friday, the Centers for Disease Control and Prevention announced that there have been 2,318 confirmed cases of measles so far this year. The case count toppled the record set last year, when measles infected more than 2,200 Americans and killed two unvaccinated children. More measles cases have been reported in the United States in the last two years than in all the years from 2000 through 2024 combined.

Reversing course on measles would require a nationwide push to improve vaccination rates, a prospect that experts said seemed unlikely under the leadership of Health Secretary Robert F. Kennedy Jr. He has halted funding for vaccine hesitancy research, downplayed the risks of measles and spearheaded a hunt for evidence that vaccines are unsafe.

Nilay Patel, endorsing Kamala Harris for president in 2024: “A Vote for Donald Trump Is a Vote for School Shootings and Measles”. (He missed “quagmire war with Iran”.)

“tarltontarlton” on Reddit last year: “Stupid-Americans are the New Irish-Americans, Trump is Their JFK”. I continue to think about this post frequently.

Isaac Asimov, in a column for Newsweek in 1980:

There is a cult of ignorance in the United States, and there has always been. The strain of anti-intellectualism has been a constant thread winding its way through our political and cultural life, nurtured by the false notion that democracy means that “my ignorance is just as good as your knowledge”.

I continue to think about this frequently as well.

 ★ 

bIRC — A New Native IRC Client for Mac

For a long time the best native Mac IRC client was Textual, but although Textual still works, it’s been sunset by the author. Not to fear, however. Fredrik Blank just launched bIRC:

Creating an IRC client in 2026 is not something that will pay the bills : ) It would be just for the joy of programming. But the amount of work involved always made me throw the thought aside.

But one night when I had nothing better to do, I started implementing the good old spec in Swift (RFC 2812). And then I got motivated to continue, adding IRCv3 extensions and UI. Been working on it on and off on it since the end of 2025. Now I feel pretty satisfied with the result. Say hi to bIRC — an IRCv3 client for Mac.

I was never a big IRC user, personally, and haven’t used IRC in years. But I installed bIRC just because it looks so good, and took it for a brief test drive. It’s nice. And it is very Mac-assed in a modern way. It’s got a detailed documentation page too. There are (alas) many great apps that lack good documentation, but there are very few apps with good documentation that aren’t great apps. bIRC is free to download and use from the App Store, and there’s a suite of additional fun/pro features you can unlock for a one-time $13 purchase. I bought the pro upgrade despite seldom using IRC just to celebrate a killer new Mac app.

 ★ 

‘AI Mania Is Eviscerating Global Decision-Making’

Fascinating essay by Nikhil Suresh:

On a trip overseas, I had the privilege of a meeting with one of the Fortune 500 executives mentioned at the beginning of the post, who will remain anonymous so that they are not executed by firing squad by their board. As we were chatting, it became clear that they were very switched-on and technically competent, and they also happened to be at a company that had committed to the usual battery of exorbitant claims about their recent innovations — we’ve 100×’d our productivity, AI is the future of everything, I am but a vessel for OpenAI to make love to my wife. You know, normal things. But since I had them there without any microphones around, I asked why this was being repeated without opposition. Was it just sales fluff?

The answer was a lot more interesting. It was partially ridiculous sales material being delivered to an easily excitable audience, but this was not the dominant factor constraining honesty. Executives at their customers were saying absurd things about achieving 100× productivity, and this meant that if any executive at the vendor said that these gains were not plausible, it would undermine the credibility of the customer’s executive, be perceived as an attack (or heresy), and possibly result in an enterprise contract cancellation. And getting enterprise contracts cancelled because you wanted to opine on something that doesn’t really matter to your organisation’s mission is a great way to get fired.

The whole essay is very much worth reading, and might make you feel saner for harboring your own doubts regarding just how much has been changed in the world by generative AI. The gist of his argument is that the entire corporate world — not merely the computer/tech/industry — is caught up in an AI mania that brooks no dissent. It’s a religious fervor and heretics are excommunicated. But the dissenters, who feel they must remain silent, are largely correct.

One way I’ve been thinking about AI mania is this: Computers have profoundly changed the world. There can be no dispute about that. Computers continue to improve in capability as networking effects grow and especially as Moore’s Law makes them faster and more capable at a pace unlike any other previous technical revolution. But most people are incapable of understanding how computers really work, and thus personally aren’t able to do much with them. Computers, for most people, are communication tools, not creative tools. Generative AI changes that. People with no computer aptitude are able to create things or discover things via ChatGPT and Claude that were simply beyond their ken heretofore. Per Clarke’s third law, “Any sufficiently advanced technology is indistinguishable from magic”. Generative AI feels a bit magical to all of us, even those of us with mid-to-high levels of understanding how computers work and how to make them work. But it feels like the first time ever that computers have been tools for their own creation for a lot of rather dimwitted but confident corporate manager/executive types. This moment feels like the Big Bang to them. The religiosity of this is such that there is no way to convince them that AI, as it stands today, is impressive and useful and innovative, yes, but several orders of magnitude less so than they’re imagining that it is. No way to convince them, that is, until the bubble bursts.

 ★ 

July 25, 2026

It turns out Trump has not abandoned his plan to paint the massive grey granite Eisenhower Executive Office Building white. As Philip Kennicott reported in the Washington Post yesterday, more than two dozen experts have sued to stop the plan, saying paint could irreversibly damage the stone and would be a “taxpayers’ nightmare” as the building would have to be repaired and repainted regularly.

But on Monday, deputy assistant to the president Heather Martin filed a declaration saying the White House Office of Administration was beginning preparations for the paint job. As Kennicott points out, the administration is using the case to give the president the ability to “erase the nation’s physical culture, its man-made, natural and cultural wonders.”

The administration is arguing that the General Services Administration (GSA), the agency that normally handles maintenance of federal buildings, has ceded control of the building to the White House Office of Administration. The GSA follows the requirements of the National Historic Preservation Act and the National Environmental Policy Act, laws that require extensive reviews and input from experts and the public.

Those laws do not apply to the White House Office of Administration. Greg Werkheiser of Cultural Heritage Partners, one of the organizations that sued to stop Trump from painting the Eisenhower Executive Office Building, told Kennicott: “The precedent is potentially devastating. Anytime the president takes a personal interest in a project, he can simply pluck it out of an agency that is subject to review and put it in his own shop.” That change would not be limited to buildings, Kennicott explains. It could be used, for example, to rush a pipeline through pristine wilderness.

A White House official told Kennicott that the White House conducts necessary reviews and that taking over for the GSA allows the White House “to more efficiently and economically manage the project.”

The Lincoln Memorial Reflecting Pool would like a word.

Kennicott also calls out the administration’s proposed major rule change in the National Historical Preservation Act (NHPA). Trump installed a loyalist as vice chair of the Advisory Council on Historic Preservation. On Friday, July 17, the chair proposed dramatic revisions to Section 106 of the NHPA. This is the section of the 60-year-old law that requires federal agencies to “take into account” what their actions will do to historic properties and places. This is the requirement that gives the public, as well as local, state, and tribal governments, a voice in the changes to historic and cultural sites.

Brent Leggs is the chief executive officer of the National Trust for Historic Preservation, a privately funded, nonprofit organization founded by Congress in 1949 to support historic preservation. He warned that “[t]he ACHP’s proposed changes to Section 106 will eviscerate the preservation of our shared civic and cultural heritage in the United States. If [they are] implemented, federal agencies will no longer be required to avoid or minimize damage to our nation’s historic sites and landscapes, or seek public input on federal projects that would impact historic places.”

Yesterday the Advisory Council on Historic Preservation, packed with 21 Trump appointees on a 24-member board, voted to move the revisions to Section 106 forward. Rachel Treisman of NPR noted that the National Register of Historic Places lists more than 100,000 properties with more than 1.8 million sites, structures, objects, and districts, all of which will lose protections if the new rule takes effect. Werkheiser told Treisman: “What it means is that the federal government, in its own discretion, can decide whether—if ever—to tell an American community that it’s about to do a major project that could harm or destroy a historic resource. The public will be completely cut out of any conversation around the future of places that matter to them in this country.”

According to Sara Bronin, who served as the Senate-confirmed chair of the advisory council under President Joe Biden—the current chair is an “acting” official—the rule changes would also remove from historical protection “significant cultural landscape features” like the Grand Canyon. Supporters of the change say it would help “agencies strike a more appropriate balance between evaluating effects on historic properties and advancing critical federal projects.” Highways, for example, which in the past have leveled entire neighborhoods as well as burial sites, would no longer require review.

Revising Section 106 would smooth two projects important to the administration.

The administration wants to open a ten-mile buffer zone barring mineral, oil, and gas extraction around Chaco Canyon, New Mexico, to development. The area “is a vibrant place of prayer, pilgrimage and core to the identity of many Southwest tribes, whose connection to this land stretches back thousands of years,” Representative Gabe Vasquez, a Democrat from New Mexico, told reporters on Wednesday. Deb Haaland, who served as Biden’s secretary of the interior and is a member of New Mexico’s Laguna Pueblo, notes that Chaco Canyon has been recognized by the UNESCO World Heritage Center as a site of universal importance and that the buffer land holds more than 4,700 known archeological sites.

Cochiti Pueblo governor Phillip Quintana called the area “one of the most important Indigenous cultural landscapes in North America, a place whose meaning reaches far beyond any single administration.”

Last November, Senators Martin Heinrich (D-NM), the top-ranking Democrat on the Senate Energy and Natural Resources Committee, and Ben Ray Luján (D-NM) and Representatives Vasquez, Teresa Leger Fernández (D-NM), and Melanie Stansbury (D-NM), a member of the House Natural Resources Committee, wrote to Interior Secretary Doug Burgum asking him to protect the cultural landscape around Chaco Canyon.

They noted that “under Section 106 of the National Historic Preservation Act (NHPA), you are legally required to ensure that you consider how your actions will affect historic properties, which also requires consulting with each relevant Tribal government. These steps must be taken before pursuing your proposed action.”

The revisions to Section 106 would remove that requirement.

Bronin noted that the changes to Section 106 would also fast-track the triumphal arch Trump wants to build at Memorial Circle near Arlington National Cemetery.

On June 15, Senator Angus King (I-ME), the ranking member of the Subcommittee on National Parks; Representative Jared Huffman (D-CA), the top-ranking Democrat on the Committee on Natural Resources; Senator Martin Heinrich (D-NM), the top-ranking member of the Committee on Energy and Natural Resources; and Senator Jeff Merkley (D-OR), the top-ranking Democrat on the Subcommittee on Interior, Environment, and Related Agencies and Representatives Maxine Dexter (D-OR) and Yassamin Ansari (D-AZ) responded to a Section 106 assessment with a letter to Secretary Burgum.

The lawmakers noted that they were the ranking members in the House and Senate committees with jurisdiction over the construction of monuments in Washington, D.C. “We oppose this project in the strongest terms,” they wrote. They called out the Section 106 process as “fall[ing] short of the law.” Among other things, they noted that the comment process for the new project had been only ten days and that the proposed arch would “deface one of the most deliberate and historic sightlines in America.”

They wrote that proceeding with the project would break at least three laws, and warned that officials moving forward with it “would be answerable as individuals” and face penalties up to and including criminal fines and imprisonment.

“Every official who directs this work, and every firm that performs it,” they wrote, “proceeds at their own peril.” “This project is stone-cold illegal,” King told Luke Broadwater of the New York Times. “It is one of the clearest legal cases I’ve seen in more than 50 years of being a lawyer.”

But now, at least some of those legal concerns might go away. Treisman said the revision of Section 106 would mean that the near-constant noise from the arch’s construction would not be weighed as a consideration in its construction, and the arch’s destruction of the historic views built into the capital from its inception would not be considered either.

What is at stake is more than just buildings. It is the whitewashing and bulldozing of our history and culture, created over centuries by the many people who have built the United States, in service to the small vision of Trump and his enablers.

Notes:

https://www.washingtonpost.com/style/2026/07/24/trumps-plan-paint-eisenhower-could-damage-stone-law/

https://savingplaces.org/stories/section-106-under-threat

https://nativenewsonline.net/environment/deb-haaland-criticizes-trump-administrations-effort-to-roll-back-chaco-canyon-protections/

https://www.energy.senate.gov/2025/11/new-mexico-delegation-urges-interior-secretary-burgum-to-reverse-course-protect-chaco-canyon

https://www.npr.org/2026/07/23/nx-s1-5904435/section-106-review-trump-historic-preservation-council

https://www.hcn.org/articles/pueblo-leaders-new-mexico-lawmakers-speak-out-to-protect-chaco-canyon/

https://www.king.senate.gov/imo/media/doc/sen_king_letter_to_burgum_re_arch.pdf

https://www.nytimes.com/2026/06/15/us/politics/trump-triumphal-arch-congress.html

Share

For Their Own Ends

What will more intelligence actually do for us?

“[I]ntelligence, that counterentropic conjoined twin of information, must become the most powerful force in the universe, the energy to which all other physical laws must eventually kneel…Intelligence was destiny, manifest.” — Ian McDonald, “Verthandi’s Ring”

Not a lot of people expected that AI would come for the mathematicians before it came for the truck drivers, but it did. The other day, an AI model disproved the Jacobian Conjecture — an 87-year-old open problem that human mathematicians had struggled to solve. The greatest living human mathematician, Terence Tao, turned to AI to help him understand the solution. Around the same time, AI solved a very important open question in quantum cryptography. Solving Erdos problems has now become almost child’s play for the best AI models. And this is the worst AI will ever be at math. Model capabilities, and the amount of compute available, both continue to increase at rapid rates. (Meanwhile, long-distance trucking employment is slightly higher than it was a decade ago.)

I don’t expect mathematicians to actually lose their jobs en masse, of course.1 But it’s becoming clearer and clearer that humankind has invented machines that are smarter than we are. Intelligence isn’t defined for machines the same way it is for humans — AI’s capabilities are spiky in different ways than ours — but it’s undeniable that the technology is improving rapidly in every domain of cognitive capability. It’s still possible to find some mental tasks that humans are better than machines at, but those final advantages tend to disappear almost as quickly as we can identify them. “AGI”, or “ASI”, or whatever you want to call it, is certainly here.

And yet…the world remains much the same. In lots of sci-fi books, as soon as artificial superintelligence arrives, it bootstraps itself to even more godlike intelligence in an explosive “singularity” that rapidly transforms the entire physical universe. Lots of people, especially “AI safety” and “effective altruist” types, expected things to play out basically the same way in reality. But looking around, not much has changed since we entered the intelligence explosion. There’s a huge data center boom, and most people use AI on a daily basis, but we still live basically the same lives — driving to work or taking the train, sitting in front of a computer, scrolling on our phones, collecting a paycheck. People are staying in their jobs longer, but employment hasn’t been disrupted in a significant way:

Meanwhile, we’ve had decently robust productivity growth, but nothing really amazing:

A lot of people I know are surprised by this. Ruxandra Teslo writes:

Walking around the world today one might notice that it is weirdly unchanged…To many, this is surprising. Just the other day I was at a conference where someone remarked that if he could have seen today’s AI capabilities a few years ago, he would have been astonished — and would have assumed the world by now would look far more transformed, with much higher GDP growth.

And Clifford Sosin writes:2

Superintelligence arrived. You probably didn’t notice, because it turned out to be kind of incremental…Don’t believe me? Run the test. Talk to Fable 5 for an hour, then talk to your ten smartest friends. Which one is smarter? Don’t worry, they won’t be offended…We were told to expect something bigger. Once machines crossed some line, the system’s IQ would climb to heights we couldn’t follow, and we’d be sharing the planet with something that designs warp drives and thinks thoughts as far past us as mine are past my dog…What we got is a tool that writes excellent code, beats people at a startling range of tasks, and will clearly reshape the economy. It’s also, somehow, incremental. No takeoff. No explosion. That’s the strange part.

Teslo blames bottlenecks — governance and other “frictions” — for the slow economic impact. But some others are advancing a more radical hypothesis3 — that intelligence itself is subject to diminishing returns.

One of these is Francois Chollet, an AI researcher who specializes in measuring AI’s capabilities. In a highly controversial series of tweets back in March, he conjectured that intelligence might be subject to diminishing returns:

One of the biggest misconceptions people have about intelligence is seeing it as some kind of unbounded scalar stat, like height. "Future AI will have 10,000 IQ", that sort of thing. Intelligence is a conversion ratio, with an optimality bound. Increasing intelligence is not so much like "making the tower taller", it's more like "making the ball rounder". At some point it's already pretty damn spherical and any improvement is marginal.

Now of course smart humans aren't quite at the optimal bound yet on an individual level, and machines will have many advantages besides intelligence -- mostly the removal of biological bottlenecks: greater processing speed, unlimited working memory, unlimited memory with perfect recall... but these are mostly things humans can also access through externalized cognitive tools.

In fact, this is a possibility I myself had raised in a post a year earlier:

It seems possible that humans are simply incredibly specialized in a few types of cognitive tasks — extracting patterns from sparse data, synthesizing various patterns into “intuition” and “judgement”, and communicating those patterns in language — and that we’ve basically approached the theoretical maximum in those narrow areas…That would explain why AI has gotten much better at things like math and coding and forecasting over the last year, but why the basic chatbot interface doesn’t seem much more “intelligent”. It would also explain why when you talk to Terence Tao about math, it’s like talking to a superhuman, but when you talk to him about where to get lunch or which movies are the best, he’ll just sound like a fairly smart normal dude. AI will eventually get better than Tao at math…but it may never get much better than the most thoughtful, eloquent humans at deciding where to get lunch or recommending movies. It may simply not be mathematically possible to get much better than we already are at that sort of thing.

Why would intelligence top out like this? Well, if we think of intelligence as the ability to extract information from data, then even an infinitely advanced model endowed with infinite compute will be limited by the fact that there’s a limited amount of information that can be extracted from the data.

For one thing, data itself is in limited supply. You can’t transform the world unless you can (in some generalized sense) understand it, and you can’t understand the world unless you can measure it, and our ability to measure the world is inherently limited and finite.

This is basically the hypothesis advanced by Arvind Narayanan and Sayash Kapoor:

We think there are relatively few real-world cognitive tasks in which human limitations are so telling that AI is able to blow past human performance (as AI does in chess). In many other areas, including some that are associated with prominent hopes and fears about AI performance, we think there is a high “irreducible error”—unavoidable error due to the inherent stochasticity of the phenomenon—and human performance is essentially near that limit….We predict that AI will not be able to meaningfully outperform trained humans (particularly teams of humans and especially if augmented with simple automated tools) at forecasting geopolitical events (say elections).[emphasis mine]

Sosin says something similar:

We hold a thin scatter of facts about the world, and intelligence or reasoning is whatever fills the space between them…Where the space between the facts behaves well, this is close to godlike…Coding, math and most administrative work are [like this]. What makes them easy is that they have relatively smooth solution spaces and are tractably verifiable…Most of what matters doesn't behave like that. The universe is mostly the emergent behavior of complex systems…The limit is contact with reality. A smarter reasoner fills the gaps between known facts in simple areas faster and better, but it doesn't produce new facts.

Sosin makes an important point here, which is that the limitations of intelligence aren’t necessarily about limited data. Even if we can keep on collecting infinite data, the cost of extracting additional information from that data might explode to infinity. This is the idea of chaos. Even in a deterministic universe where the present states of all particles are enough to perfectly determine the future, our ability to predict the future can be inherently limited; the tiniest infinitesimal error in our measurement of the present explodes into a huge error when we attempt to extrapolate even a small distance into the future.

So although we don’t know yet, it’s possible that humans were already hitting the point of diminishing returns with regards to individual cognitive capacity, and that superintelligent machines will never be as far beyond us as we are beyond dogs. But even if that’s true, I can think of at least three reasons why machine superintelligence could still deliver huge productivity gains.

Smart matter

The most obvious advantage that machine superintelligence confers is replicability. The number of human intelligences is fixed by the fertility rate, and we don’t know how to substantially boost that rate; in fact, it’s falling inexorably, and the human race is set to shrink.

AI isn’t bound by those limitations. By building more data centers with more compute, you can run more agents in parallel — essentially, you get more cognitive work. It’s not free, but nor is it limited. It’s good old physical capital; unlike human capital, you can just build more of it whenever you like, simply by reinvesting some portion of your economic output. Imagine if we suddenly discovered a way to manufacture more land in any city on the planet; this is similar.4

Of course, lots of tasks are physical ones, and for these you need physical machines — basically, robots. This is probably why so many AI people are now working on robotics, world models, physical AI, and so on. The roboticization of the world has a huge tailwind — the battery revolution, which allows energy to be stored and moved around much more easily. Conveniently, we got the physical tools to turn dumb matter into smart matter just as we also got the digital tools.

(It’s also worth noting that like the energy in batteries, the intelligence in robots is divisible. A robot the size of an ant can be remotely controlled by a data center the size of a football field. This is also a capability that human intelligence lacks.)

This doesn’t mean economic output will explode to infinity. But what it does mean is that humans will be able to use physical capital — GPUs and robots — to do more and more tasks at once, including many cognitive tasks that we used to do the hard way. In the long-run steady state, this should increase the capital-to-labor ratio of our society; each human will essentially leverage an army of intelligent machines. It’s basically another industrial revolution, and it has very little to do with whether artificial intelligence is smarter than human intelligence in any sort of head-to-head matchup.

Distributed tacit knowledge

The German company Zeiss makes the best glass on the planet. If one of the mirrors that Zeiss makes for ASML’s EUV chipmaking machines were the size of Germany, the biggest bump on that mirror would be just one millimeter high. Only a few other companies — and maybe no other company on Earth — can match that. Zeiss’ mirrors also have a number of other amazing properties, like not distorting much due to temperature changes.

How does Zeiss make glass this good? No one knows — not even the people at Zeiss. If the technology were capable of being written down on a blueprint, China would have hacked Zeiss and stolen it, the way Huawei hacked Cisco and Nortel. If the technology were capable of being explained by a former Zeiss employee, or even several former Zeiss employees, China would have paid those people many millions of dollars to spill the beans.

Zeiss’ technology basically can’t be stolen, because it’s tacit and distributed. It consists of a vast number of little tricks and techniques that a huge number of individual employees use on a daily basis. These people don’t always even realize all those little things they’re doing that make the glass come out so good. And each employee knows a different set of tricks and techniques. The knowledge exists at the level of the organization itself, and is thus very hard to steal or recreate.

This is true of lots of corporate technology. A big part of the reason China can cut off the supply of rare earths to the rest of the world any time it wants to is that other countries aren’t very good at refining rare earths. Rare earths are difficult to separate from each other in solutions; it takes a ton of little chemistry tricks to do it cheaply at scale. Chinese refiners have spent four decades building up those little tricks and techniques; American or Japanese refiners won’t simply be able to replicate their efficiency overnight, and so it’ll continue to cost much more to produce rare earths outside China.

Except in the age of AI, this might change. Suppose American rare earth refiners give their employees a bunch of equipment to record everything they do — smart glasses, gloves, and so on — in addition to sensors distributed throughout their plants. AI will be able to synthesize all that information and very rapidly suggest small ways to improve the production process. Many of those little experiments will fail; others will succeed and will quickly be adopted, allowing another round of experimentation and improvement to begin very quickly. Crucially, AI’s ability to do this doesn’t depend on its raw intelligence — only on its ability to handle huge amounts of data very quickly.

In other words, in the age of AI, distributed tacit knowledge might not be nearly as big of a barrier to technological diffusion. This could improve economy-wide productivity, as lagging firms catch up to leading firms much more quickly. A more equal distribution of productivity would also make the economy more competitive, creating more surplus for consumers (though possibly reducing the incentive for firms to innovate, by making technology less excludable).

AI’s ability to quickly produce distributed tacit process knowledge might also supercharge productivity growth at the frontier. Imagine if any company could optimize any production process five times faster than today. The whole economy would speed up, as components got cheaper, turnaround times and product cycles got shorter, and scale-up got much faster.

And as with the previous example, improving the production of distributed tacit knowledge wouldn’t depend on AI’s raw intelligence. It would spring from AI’s ability to act like a computer — to interface directly with sensors, to handle lots of data, to perceive tiny details, and to do everything very very quickly.

Cloud laws

For decades, researchers in the field of natural language processing tried to figure out the principles behind human linguistic communication. They made frustratingly little progress; the processes by which humans convey information to each other through words just don’t seem to obey simple laws, like the ones that govern electromagnetism or the circulatory system.

Then along came AI, and suddenly linguistic communication seemed like a solved problem. LLMs can reliably sound like a human being, even if we don’t understand how they manage to do it.

What if there are lots of other aspects of the Universe that work the same way — too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook. In fact, I wrote an essay called “The Third Magic”, where I suggested that this might be equivalent to a whole new scientific revolution:

Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate.

Human language seems to obey cloud laws, so why not other phenomena too? Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?

In other words, thanks to AI, we might be on the precipice of a new age of scientific advancement. And this won’t necessarily depend on how smart AI is in comparison to a single human; it’ll depend on its computer-like ability to hold huge amounts of data in its working memory and extract complex patterns from that data.

If this turns out to be true, it means Francois Chollet is wrong. Chollet hypothesizes that groups of humans, using pre-AI computing tools, can approach AI’s level of scientific competence. But human collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation.

So even if AI never gets much better than humans at the kind of science that humans have done heretofore, it might open up whole realms of scientific discovery that have previously been totally inaccessible to even the largest groups of the smartest humans. If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance.

The common thread in all three of these examples is that AI may revolutionize productivity not by being much smarter than a single individual human — not by simply solving harder and harder math problems — but by marrying human-style intelligence to the vast, inhuman capabilities of computers. We could simply be thinking about the benefits of intelligence wrong — arrogantly privileging the kind of mental tasks we humans happen to do especially well, while ignoring the value of the tasks we do poorly.


Subscribe now

Share

1

Why? Several reasons. Tenure still exists. Humans who can do math at a high level will still be needed if we care about understanding the results that AI spits out. Human math teachers will still probably be valuable. And most importantly, humans will be needed to tell AI what kind of math we want it to solve, and why.

2

Or at least, prompts AI to write.

3

I think there is a widespread, tacit assumption among many intelligent humans that the quality that had made them stand out among their peers was the fundamental stuff of the Universe, the font of all value. I will write more about this at some point, but I think it helps explain why the idea that intelligence is just one production factor among many seems so unthinkable, heretical, and revolutionary to so many people in the tech industry.

4

Yes, I know we can reclaim land from the ocean. But the opportunities for this are fairly limited, and the cost is often very high.

SpaceX eyes tower catch for next Starship after auspicious end to 13th flight

SpaceX was more than lucky Friday, sending its 13th full-scale Starship test flight halfway around the world from South Texas to an on-target, intact splashdown in a remote section of the Indian Ocean.

Starship has made precise splashdowns before. This time, however, the ship gently tipped over and came to rest floating in a remote stretch of ocean west of Australia. Previous splashdowns ended with conflagrations, an outcome SpaceX officials have come to expect with each water landing of Starship.

The buoyant Starship looked to be in fine shape after reaching the Indian Ocean. SpaceX engineers flew drones over the vehicle to inspect its heat shield, getting their best look yet at how more than 18,000 ceramic tiles insulating the ship's stainless steel airframe weathered the trip to space and back. The tiles withstood temperatures up to 2,600° Fahrenheit (1,430° Celsius) as Starship streaked back into the atmosphere at the end of its hour-long flight from Starbase, Texas.

Encouraged by the picture-perfect end to Friday's flight, SpaceX is likely to take the next leap with Starship on the next launch, according to the company's founder and CEO, Elon Musk. That would entail hurling Starship on a longer-range trajectory, perhaps into low-Earth orbit, to bring the vehicle back to the launch site. Mechanical arms on the launch tower will attempt to capture the ship as it slows to a hover. SpaceX has already done this with the rocket's massive Super Heavy booster, which is larger and heavier than Starship itself, but comes back at a fraction of the speed.

"Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight," Musk wrote on X Friday evening.

Starship's six Raptor engines afloat in the Indian Ocean. Credit: SpaceX

Hungry for data

Engineers have long identified the performance and durability of the heat shield as one of the toughest challenges for the Starship program. SpaceX's ambition for Starship includes rapid turnarounds, and eventually multiple flights per day. If this is to be achievable, the heat shield has to be robust against the vibrations and extreme temperatures it sees during launch and reentry. It can't be refurbished or replaced after every flight.

"This is the first time we’ve put an intact Starship in the water," said Dan Huot, a SpaceX communications manager providing commentary on the company's live webcast. "This is a dream scenario for the team that’s trying to get this heat shield data."

The intact splashdown Friday also opens up the possibility for SpaceX to tow the rocket back to shore, probably somewhere in Australia, for more detailed inspections. Starship is designed for reuse, but not after exposure to salt water.

"This is so critical for refining the heat shield and everything else. The really good news is … you’re looking at a pretty intact-looking heat shield," Huot said. "We were flying at a significantly higher dynamic pressure, so putting way more stress on this vehicle on the way uphill, and it's sitting there in the water."

SpaceX continued receiving signals from Starship after splashdown through the company's Starlink satellite broadband network. A camera onboard Starship showed no signs of external damage to the vehicle's six Raptor engines as water lapped against the lens.

Friday's test flight was the 13th launch of SpaceX's Starship on top of its massive Super Heavy booster, and the second flight of the latest iteration of the world's most powerful rocket—Starship Version 3.

Starship and its Super Heavy booster lift off from SpaceX's launch site in South Texas at 5:51 pm CDT on July 24, 2026. Credit: Reginald Mathalone/NurPhoto via Getty Images

The 408-foot-tall (124-meter) rocket lifted off from Starbase, Texas, a few miles north of the US-Mexico border, at 5:51 pm CDT (6:51 pm EDT; 22:51 UTC). Thirty-three methane-fueled Raptor engines on the Super Heavy booster steered the rocket east over the Gulf of Mexico and into the upper atmosphere, where the booster separated from Starship's upper stage after burning most of its cryogenic propellant.

The only thing left incomplete on SpaceX's checklist for Flight 13 was the controlled splashdown of the Super Heavy booster. It was supposed to relight its engines for a landing burn off the coast of Texas, simulating maneuvers required to return the booster back to the launch pad for recovery and reuse.

But some of the Raptor engines failed to restart for the landing burn, and the booster fell into the ocean at high speed. SpaceX also had trouble with the booster splashdown on the last flight in May. Friday's flight showed some progress, but engineers have more work to do on recovering this version the Super Heavy booster. SpaceX previously recovered and re-flew Super Heavy boosters two times with the Starship Version 2 design, but not with Version 3.

"The booster successfully completed the high thrust portion of the boostback burn with all 33 engines, the first time with a Super Heavy V3, before ending the burn early," SpaceX officials wrote in an update on the company's website. "It attempted to relight its engines for the landing burn, with a subset successfully igniting before experiencing a hard splashdown in the Gulf."

Success in space

Starship continued accelerating into space as the Super Heavy booster descended toward the Gulf, firing its six engines more than five minutes before beginning a half-hour coast over the Caribbean Sea, Atlantic Ocean, and South Africa.

A few minutes after engine shutdown, Starship opened its payload bay door and started deploying a stack of 20 Starlink satellites. The satellites are the first of SpaceX's upgraded Starlink V3 model, with significant improvements in throughput and power. They are also larger and heavier than Starlink V2s, meaning they will not fit on SpaceX's smaller, workhorse Falcon 9 rocket.

Starship released the Starlink V3s using its Pez-like deployer, tossing them overboard through a slit-like opening on the side of the spacecraft. The flat-panel satellites did not stay in space for long. They flew on the same arcing suborbital trajectory as Starship, and were designed to burn up as they fell back into the atmosphere less than an hour after launch.

In little time, SpaceX ground teams established contact with each of the satellites through radio and laser communication links, and "downloaded key telemetry" before their fiery demise. This provided engineers with their first look at the performance of Starlink V3s in space.

Powered by six Raptor engines, Starship is seen accelerating toward space Friday in this view captured by a camera on the Super Heavy booster moments after stage separation. Credit: SpaceX

With the satellite deployments complete, attention turned to a brief restart of one of the ship's Raptor engines, something engineers forewent on the last flight. The burn lasted approximately 14 seconds, and was visible to observers in South Africa. SpaceX hailed the demonstration as "core capability for future orbital missions." Gravity then pulled Starship back to Earth.

The next steps for Starship are getting to orbit and returning the ship to the launch site. Those achievements will give SpaceX the capability to begin launching operational Starlink V3 satellites, unlocking higher-speed direct-to-device connectivity for consumers and the US military, and the revenue to go along with it.

For NASA, an orbital flight puts SpaceX on a path toward orbital refueling. This demonstration is vital for any Starship flight beyond low-Earth orbit, including missions to the Moon in support of NASA's Artemis program. NASA is working with SpaceX and Blue Origin to develop human-rated versions of Starship and the Blue Moon lander to ferry astronauts to and from the lunar surface.

"Excited for what will be learned from this mission," NASA Administrator Jared Isaacman wrote on X after the launch of Flight 13. "When Starship comes online, its capabilities will be game-changing, not least of which will be ensuring we never give up the Moon again!"

SpaceX has one active launch pad in Texas, and a second Starship pad undergoing renovations there. Two Starship launch sites are under construction at Kennedy Space Center and Cape Canaveral Space Force Station in Florida. The orbital refueling demonstration will include two Starship launches, allowing the vehicles to rendezvous and dock with one another in orbit. One ship will then transfer methane and liquid oxygen propellants to the other through automated couplers.

It will take multiple refueling runs in rapid succession to refill a Starship with enough propellant to reach the Moon, requiring rapid reuse of Starships and the Super Heavy boosters at multiple launch pads. With Friday's test flight, SpaceX seems poised to embark on the next phase of Starship's iterative development program. It won't be easy.

Read full article

Comments

The Rug Belt Atlas and Quiz

I have an amateur interest in Oriental rugs but my eye is untrained. Thus, for fun and learning I created with Fable a Rug Atlas and quiz.

The Rug Belt Atlas

Check it out. Constructive comments welcome.

P.S. The site is in fact safe! Working on getting it recognized.

The post The Rug Belt Atlas and Quiz appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

Program for the Workshop on Game Theory and Economic Applications, São Paulo, July 26-August 2

 Here's a high level overview of the program, which begins today.

And here's the detailed day by day program

 I'm expecting to speak on Wednesday, which looks to be a busy day:

 

 

The demand for human enhancement technologies

When a new technology promises large private benefits but may impose social costs that markets do not price, demand need not reveal how citizens want it governed. We examine this using a nationally representative U.S. survey experiment (N=5,556) on human enhancement technologies (HET). The experiment randomizes benefit domain, mechanism, heritability, purpose, and risk across vignettes; for each respondent’s assigned vignette, we elicit stated adoption, preferred regulation, and ethical and societal concerns. Overall, about 53% would adopt. Framing the technology as enhancing rather than restorative lowers adoption by about five percentage points, as much as a severe side-effect profile. About 28% would not adopt at any benefit. This refusal is driven overwhelmingly by the enhancing framing rather than by risk, consistent with a non-compensatory constraint for a substantial subgroup. Most who would adopt still favor strict regulation, and most who would never adopt do not wish to forbid others from doing so. Productivity enhancement generates the most ethical concern of any attribute but attracts the least regulation, and respondents favor subsidizing rather than taxing its adoption, consistent with a concern about access rather than safety. Private demand is therefore an unreliable guide to the governance citizens want, and the divergence we document provides a basis for regulators seeking to align the direction of technical change with societal values and priorities.

That is from a new NBER working paper by Giovanni ImmordinoMario MacisImmacolata Marino Fabrizio Panebianco.  And I will repeat this segment: “Productivity enhancement generates the most ethical concern of any attribute…”  Do note of course that the last sentence of the authors is completely unwarranted, and is a classic example of underidentified political bias in academic reasoning.

The post The demand for human enhancement technologies appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

The common sense of Fareed Zakaria

This is one of the best Op-Eds you will read this year, though it deliberately deemphasizes the personal (no one is attacked) in a manner that will result in less attention.  Better to write the truth!  Excerpt:

Why has this [voter discontent} happened? Some of it is economic. Expensive housing, stagnant incomes and widening inequality have fueled public anger. But economics is only part of the story. America has enjoyed stronger growth than most other advanced economies. France under President Emmanuel Macron has lowered unemployment, and it has attracted more foreign investment projects than any country in Europe for seven straight years, according to an Ernst & Young analysis. South Korea is an economic success story. Japan was experiencing a comeback. Yet democratic governments almost everywhere are unpopular.

The larger explanation is that we are living through one of history’s great technological revolutions. And these transformations always produce deep anxiety and fear.

The last technological transformation on this scale came between roughly 1880 and 1920. Electricity, the telephone, railroads, the automobile and movies overturned entire industries and ways of life. Millions left farms for cities. Global trade disrupted local economies. New fortunes appeared overnight, while old occupations disappeared. In this turmoil, frustration and anger found political pathways. The left turned to communism, the right to fascism. What followed were new mass movements, cultural upheavals and world war.

Do read the whole thing.  You can be a victim of these processes, or keep your wits about you.  The choice is yours.

The post The common sense of Fareed Zakaria appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

Ruff v0.16.0

Ruff v0.16.0

Astral shipped a significant new version of their Ruff Python linting tool a few days ago on July 23rd. I noticed today because my various CI jobs all started failing thanks to new default Ruff checks and my unpinned "ruff" dev dependency.

From Brent Westbrook's announcement post:

Ruff now enables 413 rules by default, up from 59 in previous versions.

Since Ruff's default rule set was last modified in v0.1.0, the number of rules in Ruff has grown from 708 to 968. Many of these rules catch severe issues, including syntax errors and immediate runtime errors but were not previously enabled by default. With the new rule set, Ruff will bring these issues and many others to your attention without any Ruff configuration.

Here's a one-liner for trying it on any Python project:

uvx ruff@latest check .

I ran the latest Ruff against my three biggest projects - Datasette, sqlite-utils, and LLM - and it found hundreds of minor issues that breached the new default rules.

All three projects have very comprehensive test suites, executed in CI against Python 3.10 through Python 3.14, so upgrades like this are pretty safe. The following command did the bulk of the upgrades:

uvx ruff@latest check . --fix --unsafe-fixes

Against sqlite-utils, that command reported:

Found 1618 errors (1538 fixed, 80 remaining).

As an illustrative example, here are three of the remaining issues. Ruff does a nice job of explaining each one:

DTZ005 `datetime.datetime.now()` called without a `tz` argument
  --> tests/test_duplicate.py:17:10
   |
15 |     "datetime_col" TEXT)""")
16 |     # Insert one row of mock data:
17 |     dt = datetime.datetime.now()
   |          ^^^^^^^^^^^^^^^^^^^^^^^
18 |     data = {
19 |         "text_col": "Cleo",
   |
help: Pass a `datetime.timezone` object to the `tz` parameter

BLE001 Do not catch blind exception: `Exception`
  --> tests/test_plugins.py:16:12
   |
14 |         db.execute("select * from pragma_function_list()")
15 |         return True
16 |     except Exception:
   |            ^^^^^^^^^
17 |         return False
18 |     finally:
   |

B018 Found useless attribute access. Either assign it to a variable or remove it.
  --> tests/test_update.py:46:5
   |
44 | def test_update_invalid_pk(fresh_db, pk, update_pk):
45 |     table = fresh_db["table"]
46 |     table.insert({"id1": 5, "id2": 3, "v": 1}, pk=pk).last_pk
   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
47 |     with pytest.raises(NotFoundError):
48 |         table.update(update_pk, {"v": 2})
   |

Unsurprisingly, given Astral's new home at OpenAI, this output provides everything a coding agent would need to fix the problems.

I had Codex (GPT-5.6 Sol high) upgrade LLM and sqlite-utils, and Claude Code (with Opus 5) upgrade Datasette.

Tags: python, ruff, astral

Talking Again With Gabriel Zucman

For all my interviews and more, subscribe on YouTube.

In my writing about wealth concentration and oligarchy, I steal a lot from lean heavily on the truly work of Gabriel Zucman, who is a hugely important researcher (winner of the 2023 Clark Medal) who is also starting to play a major role in policy. I’ve talked to him before, but this seemed like a good time to bring him back.

. . .

TRANSCRIPT:
Paul Krugman in Conversation with Gabriel Zucman

(recorded 7/23/26)

Paul Krugman: So, hi everyone. Paul Krugman here, bringing back Gabriel Zucman, probably the best guy for thinking about inequality, especially wealth issues. And since I’ve been writing about that and stealing a lot of Gabriel’s research, I thought we should talk again. So, hi Gabriel.

Gabriel Zucman: Hi Paul, thanks for having me on.

Krugman: Yeah. So, you have been writing—and now I’ve been, you know, cannibalizing it—a lot about wealth concentration. Why don’t you tell us about your reasons for focusing on wealth.

Zucman: Basically, because there’s a fundamental tension in democratic societies between extreme wealth and the very possibility of a well-functioning democracy. And it’s not a new idea—don’t get me wrong. All the thinkers of democracy have written about this, all the way back to Aristotle, more than two thousand years ago.

Krugman: Right.

Zucman: But there was a period of time after World War II when many people thought that this issue belonged to the past. And it corresponded to a very particular moment in history when extreme wealth had largely disappeared after World War II, after the shocks of the first half of the twentieth century.

But now, of course, it’s making a dramatic comeback. And so we are back to this discussion of: how do we deal with this tension? How do we organize the economy and our society to prevent the forms of capture of the political process, in particular, that are associated with extreme wealth?

Krugman: Now, there’s a question. I mean, I’ve been on the inequality beat for an alarmingly long time—since you were a small child, actually. But in the early nineties, let’s say, it was all income rather than wealth. And a lot of it was top quintile, and maybe top one percent. And now you’re telling us that we need to focus on the wealth rather than the income of the top 0.0002 percent. Why that shift? Why wealth rather than income?

Zucman: Well, it’s for two reasons. Number one is a macroeconomic reason, which is that wealth as a whole has been growing much faster than income. So if you look at the ratio of total household wealth to GDP in the US in 1980, it was around 200–250%, and today we are past 500%. This means that the total wealth of the country is equivalent to more than five years of annual production, five years of annual GDP. The second reason is that wealth itself has become much more concentrated, and the rise of wealth inequality, especially at the top of the distribution—at the very top—has been massive and has been even faster and stronger than the rise of income inequality.

So we all know about the rise of the top one percent; the top one percent’s share of total income has increased from about ten percent of income in the US in 1980 to about 20% today. But at the top of the wealth distribution, the increase has been even much more dramatic than that.

Krugman: At the risk of derailing it slightly, one thing that I myself have gone back and forth on—and certainly I get from comments on things I write—is a question comparing the wealth of the top 0.001%, or whatever: should we be comparing it to total wealth or to total income? And I know you’ve used wealth to GDP, and I have some thoughts, but you’ve done it both ways. Which do you use, and why would you use it? I don’t know which is right, but what are your thoughts?

Zucman: I think both statistics are interesting and capture different aspects of reality. So if you’re interested in wealth inequality, in the concentration of wealth, the most meaningful statistic is to divide the wealth of the super-rich by total wealth in the economy. So, for instance, if you look at billionaires—roughly the top 0.1 percent of the population—they own about seven percent of total US wealth today. In 1980, they used to own about one percent of total US wealth. So it gives you a sense of the rise in wealth concentration. If you look at the super-top, you know, the oligarchs, the twenty wealthiest families—a very, very small fraction of the population—their total wealth is 2.0 to 2.2% of total household wealth in the economy. So I think that if you care about wealth inequality, these are the relevant numbers.

Now, it’s also interesting to compute another statistic, which is the wealth of those top groups, and in particular the oligarchs, relative to total income or total output in the economy, because it gives you a sense of their influence on the economy and also because it gives you a sense of how much revenue there is at stake from taxing their wealth. So let me illustrate. If you get back to the 20 wealthiest people in the country, they have about 2 to 2.2% of total US wealth, and that’s equivalent to about 12–13% of total US GDP.

Okay, so now you’re dividing a stock—their wealth—by a flow. And what it means is that if they spend their wealth—of course, they’re not going to do that in a given year, but imagine that they spent all their wealth in a given year—then they could buy 13% of all the goods and services produced in a given year in the US. So it really gives you a sense of just how big they are relative to the economy as a whole. And also it gives you a sense of what’s at stake with taxing billionaires. Because, of course, the way we think about tax revenue and about government budgets, is often in relation to GDP.

And so here, what you have with billionaire wealth is that there’s a potential tax base; we are not taxing billionaire wealth today, which has been skyrocketing. That’s the flip side of the rise of wealth concentration. The positive aspect in all of that is that now there’s a lot of tax revenue at stake from potentially taxing the wealth of billionaires.

Krugman: Yeah. I mean, my version is, I mean, most people have very little wealth, right? Wealth is highly concentrated, and what most people have is income. But the very top has wealth, and in some sense, the wealth-to-income ratio is telling you how many minions they can buy, how much influence they can buy in the economy and in politics. Is that kind of what you’re saying, or is there something else?

Zucman: No, exactly. When I say that expressing their wealth relative to total income gives a sense of the influence they have, precisely it gives you a sense of how much they can spend on buying media companies, on funding electoral campaigns. Billionaires accounted for nineteen percent of total political spending during the 2024 federal election cycle.

Krugman: Right.

Zucman: They can fund think tanks and foundations, and influence the prevailing ideology like that. So it’s in that sense that it’s really useful, I think, to express their wealth relative to the value of the total income of people in the country.

Krugman: So again, what’s your take on why total wealth has grown faster than income?

Zucman: There are different stories, and I think the one that makes most sense to me and that seems most consistent with the data is that there’s been a number of policy changes since the 1980s that have favored wealth and capital, broadly speaking. So, for instance, you used to have rent controls for housing in many countries; when you lift rent controls, the value of housing wealth tends to go up. Many countries used to have pretty high corporate income tax rates, of almost fifty percent on average at the world level in the 1980s. Well, when the government takes half of the profits of companies, it capitalizes into stock prices; it reduces the market value of companies. But then when governments slash the corporate tax—and it has declined from about 45–50% to about 20–25% today at the global level—well, that again capitalizes into stock prices, and now it boosts the market value of companies, of equities.

And you’ve had deregulation in many sectors that has boosted the profitability of corporations. You’ve had a significant change in the division of value added between labor and capital—the rise of the capital share, the decline in the labor share. That means more profits, more income for shareholders; again, it boosts the value of corporate equity. So all of these changes, they don’t happen like that out of nowhere. They are, of course, heavily influenced by policy.

So, for instance, changes in factor shares—labor and capital shares—have been partly affected by the decline in union power. When unions are stronger, you tend to get a bigger labor share. When unions are weaker, you get a bigger capital share. Also in the way that we organize international economic relations, globalization. When we organize things without any kind of international tax coordination, or to put it differently, if we organize global economic integration by allowing total tax competition—no minimum taxes, no minimum tax rates—then capital owners can threaten to outsource production or to shift profits to low-tax places, and again, it reinforces the power of capital, hence the value of wealth.

Krugman: Okay, But going back maybe twenty-five, thirty years ago—and again, I’ve been in the decrying-inequality business for a long time—we were saying, “You know, there’s a huge rise in income inequality, but it hasn’t really shown up in wealth.” And that really started to change. It’s not just that wealth has increased, but as you say, a huge increase in concentration in a few hands. So, what’s your story? I think I know what your story is about what drives this increasing concentration of wealth, but what is the mechanism? What’s it all about?

Zucman: I think there have been different factors at play, so it’s not just a one-issue story. The thing that seems important to emphasize from my perspective is the dramatic changes that have happened with taxation, particularly in the US. Many people have forgotten, but the US used to have a sharply progressive tax system where capital was heavily taxed, where high incomes were heavily taxed, where large inheritances were heavily taxed. In fact, it probably used to have the most progressive tax system in the world between the 1930s, the New Deal, and the late 1970s. And then during the 1980s, it went all the way in the opposite direction.

And perhaps what’s most striking is what has happened with the income tax. So when Reagan enters the White House in 1981, the top marginal income tax rate in the US is 70%. At the time, it’s the highest top marginal tax rate of all industrialized countries in the world. And then in 1986, you have the big tax reform, the Reagan tax reform, that slashes this top rate to 28%, which at the time was the lowest tax rate among industrialized countries. So it’s a really big change in just five years. And you’ve had that for the income tax, but also for the estate tax. The corporate tax rate used to be 50% after World War II; after the 2018 Trump Tax Cuts and Jobs Act, it’s been reduced to 21%.

And so all of these really big changes, all going in the same direction, have had a massive effect on two things. So, first of all, on the incentives for very wealthy people to try to earn super high incomes. When the top marginal income tax rate was close to 100%—more than 90% in the 1940s and 1950s—there was just no incentive to try to earn a ton of money, because you knew that past some point, almost any extra dollar would go to the IRS. So why bother? Why try to bargain a super high compensation as a CEO? It was just pointless. Now when the top marginal income tax rate is 28%, it becomes really profitable to try to earn super high incomes, right? Because you get to keep most of the money for yourself. So there is this incentive effect.

And there’s of course the pure mechanical effect, which is that with lower tax rates, you have more disposable income when you’re very rich, that you can save and use to grow your wealth. And that’s why I think those changes to taxation, which have been particularly powerful in the US, have played a very important role in the particularly fast rise of US inequality.

Krugman: Now when you talk about incentives, if I were a right-winger, I’d say, “Well, the old system discouraged people from innovating, being job creators, and all that.” And I think that’s not what you mean, right?

Zucman: Well, then it becomes an empirical question, right? In principle, it could be true. You could say, “Well, when people face those super high top marginal income tax rates, it discouraged people from innovating, from launching businesses.” But then you look at the data and you realize that in those decades after World War II, GDP growth was higher, in fact, than it’s been since the 1980s. Investment rates were no lower; in fact, they were higher. US capitalism, broadly speaking, seemed to work okay in that period of time. So of course you don’t know the counterfactual. You don’t know what would have happened if the tax rates had been much lower at the top in those decades. But what you can know as a fact is that these quasi-confiscatory rates on high incomes—and we’re talking about rates that apply to only super high incomes of several millions of today’s dollars—just didn’t kill innovation and growth and capitalism. And you have to think about who you are discouraging, what type of behavior you’re discouraging when you tax very high incomes at very high rates.

Krugman: Right.

Zucman: You could say, okay, perhaps it’s going to discourage innovation, but you know, are scientists or innovators really motivated by the extra income they’re going to be able to make above five million dollars in income? You know, perhaps, perhaps not. You’re also discouraging people who want just to capture rents, who want to create private universities that sell fake diplomas, for instance, or want to exploit patents and squeeze as much money as possible from consumers or patients or sick people, and so on.

So there’s always in the economy people who are motivated by innovating, creating knowledge, and broadly speaking undertaking activities that are positive-sum for the economy as a whole. But there’s also people who are motivated by rent extraction, by different activities that are inherently zero-sum or even negative-sum. And suddenly, when you have 90% top marginal income tax rates, you’re discouraging this type of zero-sum rent extraction, which is the plausible reason why this policy was so effective, at least relatively effective, in the postwar decades.

Krugman: The classic example from my angle has been that corporate CEOs have always basically set their own salaries. But in 1959, extracting a salary that was 500 times that of your average worker just made everybody mad at you, and you didn’t get to keep much of it anyway. And nowadays you do. So…

It looks as if—and certainly from your work and those of us who pick up on it—we have had this process since the late seventies of this concentration, this oligarchy rising in our society, and that taxes have a lot to do with it. So the question is: what are the remedies? I know that we’ll get to wealth taxes in a minute, but we had a workable recipe, which was high corporate taxes, high estate taxes, high top marginal rates. Is there a reason why we can’t just reconstitute that regime, or why we shouldn’t—either as a possibility or desirability?

Zucman: I think we could do it and it would make sense, but also, probably, it wouldn’t be enough. First of all, one of the outcomes of the first Gilded Age at the beginning of the twentieth century was the creation of the progressive income tax in 1913 and the progressive estate tax in 1916. So we instituted taxes to prevent or to curb the rise of concentration that was observed at the time and that many people were worried about.

Krugman: Right.

Zucman: It made a big difference, but also there was, and there’s always been, a kind of fundamental limitation, I think, with this historical experiment, which is that when you’re extremely wealthy—and think about billionaires—it’s, in fact, very easy to own a lot of wealth without having to report any or any significant amount of income. And so it’s, in fact, relatively easy to avoid the income tax. And we kind of knew about that from various anecdotes and case studies.

For instance, a few years ago you had revelations by ProPublica on the taxes paid by US billionaires, and you saw people like Jeff Bezos and Elon Musk in some years reporting very little income, paying very little income tax. There’s even one year when Bezos says, “Look, I’m so poor that I’m going to claim the child tax credit,” and he receives the child tax credit! So we kind of knew about these limitations of the income tax, but it’s only relatively recently that we’ve come to understand that this is a structural feature of income taxation in the US and globally—a structural feature that the super-rich have not yet entered into the system. The income tax is just not the right instrument to tax them.

And so that’s why, in addition to the income tax, you need some kind of tax based on wealth. Because for the very rich, it’s easy to manipulate income to pretend they have no income. So, for instance, Bezos, as CEO of Amazon, didn’t pay himself a wage, he instructed Amazon not to distribute dividends, he didn’t sell shares, and so he didn’t realize capital gains, and so his taxable income was really low. There’s no tax evasion there; it’s all perfectly legal. But, of course, his ability to pay taxes as one of the world’s richest men is, of course, extremely high. And so that’s why, for people like him, the right tax is based not on income, but on wealth, which is much harder to manipulate than income. And that was partly one of the reasons for having an estate tax, which is a tax on wealth, but it’s not enough because the estate tax is just a one-time tax at the time of death. And so you can be in a situation where the wealthiest people in the country, year after year, pay no or almost no income tax. And it’s only when they die—when the estate tax was still functional—that we tried to make them pay a little bit of tax.

That’s the limitation of the US experiment with progressive taxation, which is that it never really tried to make the ultra-wealthy pay personally on an annual basis. And I think that it is this limitation that we need to overcome in the 21st century. And basically, that has to involve some kind of annual taxation based on wealth.

Krugman: Let’s talk about corporate taxes first. We used to collect a substantial amount of corporate taxes. There’s a lot of dispute about exactly who pays them, but your position, as I understand it, is that basically they fall on stockholders. Why did we retreat so much on corporate taxes, and could that be reconstituted or should it be?

Zucman: So first of all, yes, you’re right that the corporate tax used to be a big source of tax revenue for the US. It peaked in the early 1950s at something like six to seven percent of US GDP in tax revenue, just from the corporate tax. That was with a nominal tax rate for the federal corporate tax that was slightly above 50 percent, but the effective rate was also 50 percent. It meant that out of any dollar of profit made, 50 cents went to the government.

Krugman: Right.

Zucman: And today we are down to about 1.5% or so of GDP in tax revenue—1.5 to 2%—from the corporate tax. So it’s a big decline. The standard story is that it’s going to reduce corporate investment, which is going to translate into a decline in the capital stock, and then workers are going to be less productive because capital is good, it complements labor, and so eventually it reduces wages, and so it’s bad for ordinary workers. That’s the standard story, which, frankly, doesn’t have a lot of empirical support for it. But why not? As an intellectual story, it makes some sense in principle.

The other reason, which has been even more powerful in practice, is international tax competition. It’s the idea that we cannot tax corporations at higher rates because otherwise they move to other countries, and that there is this kind of law of nature: the race to the bottom with corporate taxation is something we just have to accept as a law of nature, like gravity. And that also is wrong, because, of course, it’s not a law of nature. It’s a choice that we make collectively to accept international tax competition, or to fight it and to curb it. So I think what this all means is that, of course, we could revert to higher corporate tax rates. That’s definitely something that the US, or in fact any country, can do.

But what I want to say is that, also, it wouldn’t be enough, because the corporate tax is just a flat tax on corporate profits. So someone who owns just one share in Amazon, indirectly is going to pay the same tax rate through the corporate tax as Jeff Bezos, who owns ten percent of Amazon. It’s not progressive, and so that’s why it’s structurally limited.

Krugman: Okay. In the abstract, if our concern is great wealth and we’re looking for some way to limit that and also raise some revenue—though I think in many ways the social and political implications are even more central than the revenue—the history shows remarkably little experience with wealth taxes, right? I mean, we don’t have a lot of evidence, and a lot of people say that they’re unworkable, citing what they claim to have been the history of France. So why don’t you talk to me about the history of wealth taxation?

Zucman: Yeah, I mean, the US never had an annual progressive wealth tax, at least at the federal level. There’s, in fact, a pretty long history of wealth taxation at the state level in the 19th century, with so-called generalized property taxes that were taxes not just on real estate and land, but also on financial assets, typically at flat rates, so not rising with wealth. There’s a long tradition in the US that’s been largely forgotten.

The more relevant history is the European experience with progressive wealth taxation. Many European countries used to have progressive wealth taxes. And I agree that the track record is not good. By and large, they were not big successes. But, of course, there are two ways to look at that experience. You can say, “Well, some countries tried wealth taxes, it didn’t work very well, hence it will never work.” End of story. Or you can try to study this experience and try to understand what were the problems and what lessons can be drawn, and whether the issues can be overcome.

And this is what I’ve been doing with many others in my work, and the conclusion I’ve reached is that, yes, they had issues, these European wealth taxes, but the issues can be fixed.

The biggest issue is that those wealth taxes didn’t even attempt to try to tax billionaires. Look at France, for instance. France is really a striking illustration. The French wealth tax was created in 1981 when a Socialist president comes into power and he has an absolute majority in parliament, and so he creates a wealth tax. But immediately he says, “Okay, we are going to exempt from the wealth tax people who own more than 25% of the shares of a company.” Okay? So if you’re a big shareholder in a company, no matter whether it’s listed on the stock market or not, if you own a ton of stock, that’s going to be removed from the base of the wealth tax. This will be tax-free. But, you know, the wealth of billionaires is precisely that: it’s owning a lot of shares in a company. So what France did in 1981 was like if the US today created a wealth tax and said, “We’re going to exempt Warren Buffett from the wealth tax, or we’re going to exempt Elon Musk from the wealth tax because they have so many shares in their businesses.”

You know, it really makes little sense. And the consequence is that the effective wealth tax rate for French billionaires in 2016, on the eve of the abolition of the wealth tax, was just 0.005% of wealth. They didn’t pay it. And it’s not because they illegally hid assets. No, no, it’s because they were legally exempted from the wealth tax.

Krugman: Why did Mitterrand do that? Do you know?

Zucman: The way the story is often told is that some of the top billionaires complained and went to see him, and they said, “We’re going to move to Switzerland if you do that.” And so that’s how they got that exemption.

But the deeper explanation, I think, is that there was no real commitment on the part of Mitterrand or the Socialist Party to having a tax on billionaire wealth, partly because they thought it would be impossible, that we had to accept international tax competition as a kind of given, that France would be powerless to do anything about that; partly because it was never a big priority for them. They bet on other policies to transform society that didn’t involve progressive taxation, but that involved things like the nationalization of some companies or labor market regulations. But progressive taxation was not part of their ideology, so to speak. They were not very committed to that.

And also, I think in the 1980s, you could make the case that the government revenue at stake was just not very important. So it was not worth fighting for this. I think that was their view. And perhaps you could make that argument in the 1980s or 1990s, but today, it’s impossible. Look at what has happened to the curve—the wealth of billionaires has skyrocketed. So now it becomes really important to include them in the base. So that was the main problem: billionaires were legally exempt.

The other big problem—and it’s related, of course, to the first one—is that those European countries never tried to do anything to fight the risk of out-migration by the super-rich. They just thought that, “Okay, we are powerless. If they want to leave, what can we do?” And that’s just not true. For instance, in the US, there is citizenship-based taxation, meaning if you are a US national, you have to pay taxes in the US no matter where you live. So you can move to Monaco or Switzerland if you want, but you still have to pay federal taxes.

Krugman: Right.

Zucman: France or Germany could have done that; they could have done a variation on that idea. But the big blind spot of the social democratic experiment in Western Europe has been, in my view, this inability to confront the forces of international competition, and international tax competition in particular.

Krugman: So that’s it. Do you want to enlarge on that? Because I think that’s an interesting point.

Zucman: Yeah, these social democratic governments never invested intellectually in trying to organize international economic relations and make those consistent with their ambitions for democratic transformation. Or, to put it differently, the social democratic project was always thought of as a purely domestic endeavor. And when they realized that there was competition from other countries—tax competition in particular—their reaction was not, “What can we do about that? How can we rewrite the rules of global commerce? How can we forge international agreements, or how can we design unilateral policies to protect ourselves from those forces?” Their reaction was not that. Their reaction was, “There’s international competition. We cannot do anything about that. We just have to adapt.” And so we have to embrace the race to the bottom with capital taxation.

And that’s how, in fact, it’s socialist governments, or Labour governments in the UK, or the SPD in Germany, that have slashed the corporate tax rate. Scandinavia, too, moved from a comprehensive income tax where capital and labor are taxed the same, to so-called dual income tax systems where capital income is taxed at lower, flat rates than labor income. Always for the same reason: they never tried to think about how to make social democracy compatible with a globally integrated economy.

Krugman: That makes sense. Although I think that the EU has a kind of minimum VAT rule, right? So the tax that falls on working people, you cannot make it too low, but the tax that falls on billionaires...

Zucman: Yeah, that’s a very good point. The only form of tax harmonization that you have in the EU is on VAT. So when it comes to taxing consumers, the middle class, the poor, all of a sudden we can craft common rules. But when it comes to taxing companies or the rich, what can we do? You know, nothing.

Krugman: So if Ireland goes and poaches corporations—although I think it’s mostly US corporations there, but anyway—Ireland can do that, but they can’t offer shoppers bargains. It’s pretty wild.

Zucman: Yeah, exactly. That’s a very particular worldview, but that’s been central, in fact, in how European construction has proceeded so far. And I think if you want to rationalize this view, deep down there is the idea that it’s not just that international tax competition is a law of nature, but also that it’s a good thing, frankly. That it’s something we should embrace because those welfare states in Western Europe are too big and they need some kind of external outside pressure to force governments to be more efficient—to starve the beast a little bit. And I think many people, even left-of-center people at one point embraced this idea that we should welcome it—it’s going to make us more efficient. We should welcome international tax competition.

And why not? You can make that case, but I think it has two problems. One is that it’s a pretty undemocratic way to decide things. It assumes that voters are going to structurally choose policies that overtax capital or the rich, and hence the need for constitutional constraints or external forces. And, of course, the other problem is that international tax competition, the way that it has unfolded, has fueled the rise of inequality, because the main winners from this are multinational companies and their owners, or people who derive most of their income from capital income, the wealthy, and so on.

Krugman: Right. Sort of Reaganite ideas may have actually had a lot of impact even in Europe.

Zucman: They did. Even though it was never formulated that explicitly, I think this ideology was very influential, in fact.

Krugman: So you’ve been pushing for, in fact, some kind of global accord that basically makes it possible to do more wealth taxation. I’ve been re-reading your G20 paper on all of this. I don’t think this is anything likely to happen anytime soon, but what’s the state of the idea?

Zucman: It will happen, but patience.

Krugman: Yeah, patience. Well...

Zucman: The beginning of all of this was in 2021: there was an agreement among 130 countries for having a minimum tax of 15% on the profits of big multinational companies. And, frankly, very few people had seen that coming, because the prevailing view was, “You know, it’s impossible to get an agreement like that. Small countries like Ireland benefit so much from international tax competition. It’s just utopian.” But it happened in 2021.

And then, in 2024, Brazil had the presidency of the G20, and they wanted to put new ideas on the agenda, and they asked me what I thought. And what I told them is: “Look, I think we should do for billionaires what we’ve been able to do for multinational firms. So let’s try to have an agreement on a minimum annual amount of tax owed by billionaires.” They commissioned a report from me, and some progress was made at the G20, but then, of course, Trump was reelected, so nothing can happen at the moment at the G20 level.

But what’s really interesting is what is happening at the national and, in fact, subnational level these days. Because right after the Brazilian G20 in 2024, the French National Assembly adopted the minimum tax on billionaire wealth that I had proposed. So it’s a tax of 2% on the wealth of people with more than 100 million dollars or euros in net wealth. And it’s a minimum tax, which means that if you already pay an income tax the equivalent of two percent of your wealth or more, you have nothing more to pay. But if you pay less than that, you have to pay the difference to reach the two percent minimum. So it’s the fairest and the most targeted tax that you can imagine, because it’s just on the ultra-wealthy, but not only that, on those among the ultra-wealthy that avoid taxation today.

So France voted for that; it was then blocked by the very conservative Senate. But there is the beginning of an international movement in that direction. You’ve had a bill crafted under French legislation that’s been introduced in Belgium, perhaps soon in the Netherlands, and in Spain. At the moment in the UK, they’re talking a lot about that with the new Prime Minister, Andy Burnham.

And then, of course, most important in my view, is what is happening in California with Prop 40, the California billionaire tax, which is going to be on the ballot in November. This would be a one-time tax of five percent on the wealth of California’s billionaires. Frankly, it’s very important for California, for funding healthcare, Medicaid in particular. But it’s even more important for the US and, in fact, for the world as a whole. Because if California passes the California billionaire tax in November, I think this will really be the beginning of the US and international movement to tax the wealth of the super-rich.

Paul Krugman: Okay. And this is a one-time tax, and it’s retroactive, right? It’s based on your wealth last year.

Zucman: Yeah, exactly. So it has several characteristics. It’s one-time and not annual. And it’s only for billionaires, not for you and me. It’s on billionaires, and it’s on those billionaires who were residents of California as of January 1st of 2026. So it’s too late to avoid the tax, meaning if you were living in California at the beginning of this year, you would still have to pay the tax. So in that sense, there’s a small retroactivity here. And these two characteristics combined—the fact that it’s one-time and based on being a resident as of January 1st of 2026—mean that it’s nearly impossible for any billionaire to avoid the tax by moving to another state. So it also means that if it passes, it’s bound to generate a lot of tax revenue.

The arithmetic is quite simple. The billionaires of California have about two trillion dollars in wealth. So if you tax them at five percent, you get a hundred billion in tax revenue. Another kind of illustration of how big the billionaire wealth tax base has become, which I think is quite striking, is the following: if you look at all the income of Californian people as reported in their tax returns—you know, AGI, adjusted gross income for California as a whole—it is the same number as the wealth of California’s billionaires, 250 people. So, their wealth is 100% of California’s AGI. Meaning, if you have a five percent tax on the wealth of billionaires, it generates as much revenue as a five percent tax on the income of all people in California. So that’s just a very striking illustration of what we were discussing earlier, which is just how massive the wealth of the billionaires has become and hence its implications for public finance.

Krugman: Yeah, one of the things in California is it does have high personal income and high personal wealth, but that’s a few hundred people. They really skew the numbers. And so, how’s it going? I mean, it’s a little bit disappointing to see all of the “don’t be evil” guys from Google and all of that scrambling to protect themselves from taxes. But how are you feeling about the proposition?

Zucman: Well, I’m not surprised by that, right? They have good reasons to hate this, because this is the one tax that they would have to pay. You have to realize that they pay very little today. The billionaires in California pay in income tax the equivalent of just 0.2% of their wealth. So, you know, moving from 0.2% to 5%, even if it’s one-time, it’s a big difference for them, even though their wealth has increased like 200% over the last two years. So from that perspective, it’s a drop in the ocean.

But I think the polling is good. It’s going to be a battle just because the billionaires are spending tens of millions, hundreds of millions already, to stoke fears and try to defeat the proposition on the ballot. But I think the logic, frankly, is so compelling, and also billionaires are not very popular at the moment in California, like everywhere else, so I think it has a good chance to pass.

But what I want to say is that, first of all, it’s important for California because there’s a big shortfall of federal funding for healthcare as a result of the One Big Beautiful Bill Act. And so California needs to find broadly a hundred billion in revenues to just preserve Medicaid. So that was the main reason for having this on the ballot in the first place. And so if it doesn’t pass, you’re going to see the number of uninsured people rise a lot in California. Under business as usual, it’s going to increase from six percent to ten percent. So that’s why it’s important.

But more fundamentally, in my view, it’s important because it’s the one concrete measure that can begin to make a difference to oligarchic wealth and power.

And don’t get me wrong, five percent one-time is not enough, but this is what’s going to pave the way, I think, for eventually some kind of federal wealth tax and federal annual wealth tax. And the reason why there’s good reason to view it like that is because this is what happened for the income tax at the beginning of the 20th century, which was first implemented by a number of states, like Wisconsin in 1911, before becoming federal policy in 1913. So that’s why it’s really important. And I can tell you that the whole world is watching California. I think people in France are like, “This is amazing! Go California, tax the billionaires!” And this is going to be a blueprint for what we’ll do in France, in the rest of Europe, and frankly, globally.

Krugman: States as laboratories of anti-oligarchy. Let’s hope for the best. Thanks a lot, and onward with the project. Take care.

Zucman: Thank you so much, Paul.

NASA and ESA facilities avoid major damage from wildfires in Spain

DSN fire

Key ground stations in Spain operated by NASA and the European Space Agency have avoided serious damage from major wildfires in the country.

The post NASA and ESA facilities avoid major damage from wildfires in Spain appeared first on SpaceNews.

In 185 AD, In 185 AD,


Saturday 25 July 1663

Up and to my office setting papers in order for these two or three days, in which I have been hindered a little, and then having intended this day to go to Banstead Downs to see a famous race, I sent Will to get himself ready to go with me, and I also by and by home and put on my riding suit, and being ready came to the office to Sir J. Minnes and Sir W. Batten, and did a little of course at the office this morning, and so by boat to White Hall, where I hear that the race is put off, because the Lords do sit in Parliament to-day. However, having appointed Mr. Creed to come to me to Fox Hall, I went over thither, and after some debate, Creed and I resolved to go to Clapham, to Mr. Gauden’s, who had sent his coach to their place for me because I was to have my horse of him to go to the race. So I went thither by coach and my Will by horse with me; Mr. Creed he went over back again to Westminster to fetch his horse. When I came to Mr. Gauden’s one first thing was to show me his house, which is almost built, wherein he and his family live. I find it very regular and finely contrived, and the gardens and offices about it as convenient and as full of good variety as ever I saw in my life. It is true he hath been censured for laying out so much money; but he tells me that he built it for his brother, who is since dead (the Bishop), who when he should come to be Bishop of Winchester, which he was promised (to which bishoprick at present there is no house), he did intend to dwell here. Besides, with the good husbandry in making his bricks and other things I do not think it costs him so much money as people think and discourse.

By and by to dinner, and in comes Mr. Creed. I saluted Mr. Gauden’s lady, and the young ladies, he having many pretty children, and his sister, the Bishop’s widow; who was, it seems, Sir W. Russel’s daughter, the Treasurer of the Navy; who by her discourse at dinner I find to be very well-bred, and a woman of excellent discourse, even so much as to have my attention all dinner with much more pleasure than I did give to Mr. Creed, whose discourse was mighty merry in inveighing at Mr. Gauden’s victuals that they had at sea the last voyage that he prosecuted, till methought the woman began to take it seriously.

After dinner by Mr. Gauden’s motion we got Mrs. Gauden and her sister to sing to a viall, on which Mr. Gauden’s eldest son (a pretty man, but a simple one methinks) played but very poorly, and the musique bad, but yet I commended it. Only I do find that the ladies have been taught to sing and do sing well now, but that the viall puts them out. I took the viall and played some things from one of their books, Lyra lessons, which they seemed to like well.

Thus we pass an hour or two after dinner and towards the evening we bade them Adieu! and took horse; being resolved that, instead of the race which fails us, we would go to Epsum. So we set out, and being gone a little way I sent home Will to look to the house, and Creed and I rode forward; the road being full of citizens going and coming toward Epsum, where, when we came, we could hear of no lodging, the town so full; but which was better, I went towards Ashted, my old place of pleasure; and there by direction of one goodman Arthur, whom we met on the way, we went to Farmer Page’s, at which direction he and I made good sport, and there we got a lodging in a little hole we could not stand upright in, but rather than go further to look we staid there, and while supper was getting ready I took him to walk up and down behind my cozen Pepys’s house that was, which I find comes little short of what I took it to be when I was a little boy, as things use commonly to appear greater than then when one comes to be a man and knows more, and so up and down in the closes, which I know so well methinks, and account it good fortune that I lie here that I may have opportunity to renew my old walks. It seems there is one Mr. Rouse, they call him the Queen’s Tailor, that lives there now. So to our lodging to supper, and among other meats had a brave dish of cream, the best I ever eat in my life, and with which we pleased ourselves much, and by and by to bed, where, with much ado yet good sport, we made shift to lie, but with little ease, and a little spaniel by us, which has followed us all the way, a pretty dogg, and we believe that follows my horse, and do belong to Mrs. Gauden, which we, therefore, are very careful of.

Read the annotations

My Gripe with LeBron James

Every now and again, I write about sports. But I only end up showing how out-of-touch I am.

Ah, I’ve put my foot into it again, with my response to LeBron James’s announcement that he is moving on—one more time—to a new team. This was my initial take on today’s “last decision” (as he describes it) to join the Philadelphia 76ers.

This man jumps around more than a knight on a chessboard. So much so, that these repeated relocations now define who he is, and how he will be remembered. After more than two decades in the NBA, LeBron has four championships, but will have started afresh five times with a new team. For someone chasing titles with his generation-defining talent, that ratio is out of whack.


Please support The Honest Broker by taking out a premium subscription (just $6 per month).

Subscribe now


But even if he had more rings to show, LeBron would still force us to ask if chasing titles is a legit reason to abandon your team. Wouldn’t most fans say that greatness is defined by the opposite—namely when an athlete triumphs without first running away?

So if I could give him a nickname, it would be LeBron “The Decision” James. The irony is that, despite taking pride in his decisions, he is a man who can never make up his mind. Shakespeare’s Hamlet looks like a paragon of decisiveness by comparison.

Of course, this is just one more example of how poorly aligned I am with current sports culture. I’ve gone on record as praising six things about sports—and I never hear any of them mentioned on ESPN.

Why Sports Matter

It’s actually far worse than that—the prevailing ethos in sports now runs totally in opposition to all six of these core values. Just consider that the hottest trend in professional sports today is gambling. That tells you how far we’ve fallen.

Not long ago, Pete Rose got thrown out of baseball for gambling. Nowadays he would earn a huge endorsement deal and launch his own betting site.

Yes, I wasn’t made for these times. But can I really be the only person who feels this way?

No, I’m certain I’m not alone. It’s just that the voices of those who believe in sports for character building are drowned out by a culture that puts money and winning above everything else.

Each fan also gets to make a “decision”—although it’s not covered in the news. And their cumulative decisions will determine the actual fate of the league

There’s a price to pay for this. A society that trains its youngsters with these degraded values on the sports field will soon find the same vices everywhere else. Long ago, Duke Wellington allegedly boasted that the battle of Waterloo was won on the playing fields of Eton. Nowadays we could make a less enviable claim, namely that the corruption of our institutions starts in the youth sports leagues.

I’ve criticized LeBron for lacking loyalty. Sports insiders mock this view—but with tremendous hypocrisy. That’s because the whole profession of sports depends on the loyalty of fans. Without loyalty, every pro sports league in the world would soon collapse. So not only is loyalty an important value in team competitions, it’s actually a foundational principle that holds teams together and pays everybody’s salary along the way.

Lebron James in his last game with Cleveland—where he still had my support (Photo by Keith Allison)

Yes, I’m an outlier. But I also think I’m speaking in the interests of the sports insiders too when I advocate for more loyalty, not less. If I could, I’d make it harder—much harder—for teams to abandon their cities. I would make it easier for teams to sign home town talent (bringing back a variant of the territory draft that once increased the likelihood that an NBA squad would actually include players from its home city. I’d take other steps to maximize the emotional ties between fans and teams, and vice versa.

It’s obvious that these moves would increase the popularity of teams. Even players would benefit—despite what you might hear to the contrary. It’s well known that players who stay with one team for their entire career are beloved by the fans, even long after they have retired. They have a happy home for life—along with lots of free drinks and dinners along the way—that the itinerant player will never enjoy.

But what about winning, you ask? I’d reply that the most successful NBA teams have tended to hold on to key players for their entire career—starting with their initial draft and continuing until retirement. Magic and Kobe and West and Baylor were always Lakers. Russell and Bird and and McHale and Havlicek were always Celtics. Duncan and Robinson and Ginóbili were always Spurs. When these same teams lost this sense of continuity and put too much emphasis into short term deals and luring free agents, their dynasties fell apart.

I mention those elite teams only in passing, because sports for most competitors does not result in a dynasty. The value of sports can’t be based by winning, because losing is just as common. And it’s even less dependent on a championship season—which few ever experience. For most competitors, the real value lies is those principles listed above—being there for your team, learning self-discipline, bonding with your community, handling setbacks and losses, and the like.

LeBron, of course, is free to pursue other values. But he will need to do it without me cheering him on. And at lease some insiders are aligned with me on this. For example, here’s a smart take that calls it straight.

There’s an old proverb that says “Be careful what you wish for, because you just might get it.” That’s exactly what’s happening in the NBA right now. They wanted a profit-maximizing world in which loyalty meant nothing—with ultimate freedom and mobility. Now they have it. But wait until they see the price to pay when fans ditch their loyalty in response.

Yes, each fan also gets to make a “decision”—although it isn’t covered in the news or hyped in press conferences. And make no mistake, their cumulative decisions will determine the actual fate of the league, not anything LeBron does in Philly.

If the honchos running the NBA were really smart, they would be worrying about those decisions, and not the last gasp destination of a soon-to-retire baller.

Reading List 07/25/26

Laguna di Venezia by Anton Melbye, via WikiArt.

Welcome to the reading list, a weekly roundup of news and links related to buildings, infrastructure, and industrial technology. This week we look at China’s EV subsidies, the future of aeroderivative gas turbines, a US-Saudi nuclear deal, defective roadway guardrails, and more. Roughly 2/3rds of the reading list is paywalled, so for full access become a paid subscriber.

Housing and Cities

The CEO of DR Horton, largest homebuilder in the US, thinks that the 21st Century ROAD to Housing Act won’t have much impact on housing supply or demand in the short term. [X]

The Financial Times on why socialists should embrace luxury apartments. “Above all, high-end developments unlock long housing chains. As higher-income households move into newly built units, they free up older properties, raising supply and slashing prices for middle- and lower-end housing through a process known as filtering. Numerous international studies underscore this positive ripple effect.” A good sentiment, though stating it to the readers of the Financial Times is probably preaching to the choir. [FT]

Last week we noted that Saronic, which had been slated to be a major tenant for California Forever’s shipbuilding facility, had instead opted to locate their operations in Texas. Someone claimed on Twitter that California was, in fact, never really in consideration, and that overtures to California Forever were entirely to secure better terms in Texas. [X]

The fraction of housing markets in the US where prices are rising vs falling over time, via ResiClub. [X]

US cities which used to have at least 100,000 people but no longer do. [Reddit]

Manufacturing

TSMC is accelerating its investment in Arizona fabs due to enormous AI demand. [CNBC] And TSMC plans to raise prices by up to 10% starting in 2027. [Yahoo Finance]

As China’s EV industry gets more mature, China is beginning to roll back subsidies for the sector. “Starting Sept. 1, lithium-ion batteries will be subject to a 2% consumption tax, which will double to 4% a year later, according to a Friday announcement by the Ministry of Finance.” [X]

Energy

The National Historic Preservation Act (NHPA) requires considering whether a new project will impact the view of some existing historic property. Thus the more land area a project extends over, or the taller it is, the more potential view impacts, and the greater the NHPA review burden. This is bad news for clean energy projects like wind and solar, which have a much “viewprint” than oil and gas projects. “We examined nearly 100 recent energy projects and found a striking discrepancy: compared to fossil energy projects, clean energy and transmission projects have review areas about 10 times larger and are more than 8 times as likely to receive an “adverse effect” finding — triggering additional process, delay, and mitigation obligations.” [IFP]

Tim Latimer, CEO of geothermal startup Fervo Energy, on what the geothermal industry can learn from SpaceX. Basically, instead of trying to develop an ambitious technology in one shot, start with a simpler, less ambitious version of it, and advance via learning by doing. “...much like the Starship example, starting with the end state and trying to solve all the various technology challenges all in one go would be incredibly challenging. So Fervo has opted to take a learning by doing path that parallels SpaceX. Project Red was our first pilot. Rather than try to drill a super hot or super deep concept right out of the gate, we completed a project in a category called “near-field Enhanced Geothermal Systems” (NF-EGS). This meant going to a location that was adjacent to a producing geothermal site, so the geothermal gradient was higher, even though the permeability in the part of the field we had selected did not support prior development with conventional technology.” [LinkedIn]

Read more

Join me in Jamverse

I just contributed a couple of microfictions to a project I’m helping bootstrap: The young and promising Jamverse extended protocol fiction universe. I’d like to invite the fiction writers among you to jump in as well.

There’s currently a contest going on for worldbuilding artifacts, with a deadline of July 31, to help bootstrap the universe. If you’re looking for a fun way to kill a few hours sometime in the next week, explore Jamverse and enter the contest.

Jamverse (named for Fred Pohl’s dictum that the science-fiction writer’s job is to predict not the automobile but the traffic jam) is a near-future Earth setting full of strange (but not magical) rules. Currently there are 15 full short stories across 4 loosely coupled story cycles by 4 authors, and a growing hopper of related world-building elements contributed by half an dozen others. The pump-priming is going well, and if this sort of thing interests you, now is the time to get in on the ground floor. It’s currently still pretty easy to introduce big, bold ideas into the universe without running into conflicts.

As a warmup to more serious contributions, I wrote two (non-competing) microfictions for the contest. Both are stand-alone readable, though you’ll get more out of both if you’ve read some of the stories of the rest of the universe.

  1. My first entry is Ziploc Protocol, a microfiction that explores how a piece of jailbreaking technology might be smuggled across a border into a highly protocolized jurisdiction called Zoothesia to subvert some of its protocols. Read it here.

  2. My second entry is a mood/vibe piece. A microfiction introducing The Thicket, a kind of tiling element for the background interstices of the world. The Thicket is inspired by a nonfiction idea developed by , and in the Jamverse, it refers to something like the future of the exurban hinterlands of metro areas today. The microfiction introduces the concept via a stand-alone vibe-y vignette. Read it here.

Jamverse has a lot of interesting elements both for readers and writers. There are strange augmented reality civic protocols, a train that runs halfway across the planet, a surreal folklore layer, and weird governance and public service models. I’m currently brainstorming my own top-level big idea to add.

Here’s a quick overview orientation (AI generated), and a codex of worldbuilding elements to let you jump in and contribute quickly. Browsing the latter should give you an immediate feel for the world.

If you plan to enter the contest (and I hope you do), you might want to read a couple of the key world-establishing stories of the 4 existing story cycles first.

I hope to spend a lot more time in Jamverse in the future. See you there!

Regular weekly nonfiction post coming over the weekend.

Links 7/25/26

Links for you. Science:

NIH must “open scientific careers to skilled craftspeople and practitioners” (excellent, must-read)
The Assault On Science Funding Continues
Daraxonrasib or Chemotherapy in Previously Treated Metastatic Pancreatic Cancer

Other:

Homicide rates in DC likely dropping to historic lows not seen since 1900, report says
An unserious offer: The crypto industry has spent $200 million to get a bill too corrupt for Democrats to pass and a president too corrupt to sign anything that might meaningfully limit his grift.
Trump Extends Pardons to Companies, Echoing a 17th Century King
Oy, Canada Tariffs
Trump’s 100% Generic Drug Duty Threatens US Low-Cost Supply
Google just had its first negative cash flow quarter due to massive AI spending
How To Choose a Nominee
Abolishing the Senate Might Be the DSA’s Best Idea
Democratic lawmakers slam Trump “vanity projects” in shadow hearing
The World Cup story (almost) no one told

Friday Squid Blogging: Illex Squid Catch in the Falklands

Lower catch this year.

As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.

Blog moderation policy.

Odysseus notes

The subsection of the Georgi Gospodinov novel runs like this:

The Shortest Novel About Odysseus After His Return Home

One night, now old and flabby and starting to forget, he leaves his home secretly. He’s sick of everything, so he heads back one last time to see the places, women, and wonders he had once encountered. To go back again into his draimed memory to see how it had been and who he had been. Because thanks to the bitter irony of old age, he has begun to transform into the Nobody, the name he had once cleverly used when introducing himself to the Cyclops.

Telemachus finds him in the evening, collapsed by the boat, only a hundred yards from home, with no idea what he is doing there and where he had been heading.

They take him back to a house with some woman he no longer remembers.

The novel is Time Shelter, and the premise is that refuges are built for people with Alzheimer’s, reflecting life from past decades, for instance the 1960s.  But then people from the present start wanting to live in them.

The post Odysseus notes appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

Does Trump Know What He is Doing?

Simply put, does Donald Trump know what Donald Trump is doing?

There was no good explanation offered for Trump to decide only after the signing of a major agreement to allow Saudi Arabia to use American nuclear technology and be in the position of enriching its own uranium fuel for Trump to decide 24 hours later to add Saudi recognition of Israel as a precondition.

Recognition and entering the Abraham Accords are preconditions that the Saudis have long rejected without Israelis agreeing to a pathway for Palestinian statehood.  In any case, not a word of these preconditions is in the agreement signed and announced on Wednesday, and Trump announced the new prerequisites on a social media post.

Either Trump screwed up what he had intended to have signed as a formal agreement, or he and his administration were inept at understanding what was in their own agreement. What kind of master dealmaker changes the rules after they have a written agreement in place? As we are seeing with the war in Iran, changing the rules every other day about what a “memo of understanding” supposedly had laid out is just creating chaos and combat.

This late change in Saudi conditions forces us to revisit whether Trump had been ignorant of the idea that Iran would retaliate with closing the Strait of Hormuz and sending missiles into U.S. bases and Gulf neighbors’ territory, or did he just choose to ignore that long-predicted outcome? How does constant after-the-fact sidestepping lead to any resolution?

As things stood yesterday, Trump may have ameliorated Israeli panic about the Saudi agreement, but there was no word from the Saudis that the deal would continue. The many critics domestically and internationally argued  that Saudi ability to enrich fuel, allowed under a side “safeguard” document that waived scrutiny applied in other nations, would lead to a Saudi nuclear weapon and to a Middle East nuclear arms race.

How is anyone – the Saudis, Israelis, and Iranians, the Congress, the NATO allies, even rivals and foes – supposed to honor a deal that was never made?


“FREEDOM OF THE PRESS IS NOT JUST IMPORTANT TO DEMOCRACY, IT IS DEMOCRACY.” – Walter Cronkite. CLICK HERE to donate in support of our free and independent voice.

The post Does Trump Know What He is Doing? appeared first on DCReport.org.

Saturday assorted links

1. The 1991 Project’s oral history collection (led by Shreyas Narla and Shruti) with ~50 hours of interviews with policy reformers and witnesses to India’s market  liberalization, is now available.

2. Mini Cities.

3. The new Claude, on Mondrian.

4. More on cybersecurity and cyberdefense.  And Simon Willison on The Incident.  And early AI fears were not about LLMs, and that makes a big difference.

5. Critique of the new 76ers.

6. Anthropic economic research futures allocating $200 million to RCTs.

7. Interview with Emily Wilson.  Excellent piece, many of you underrate her.

The post Saturday assorted links appeared first on Marginal REVOLUTION.

       

Comments

 

SpaceX conducts 13th Starship test flight

Starship Flight 13 liftoff

SpaceX launched Starship on its 13th suborbital test flight July 24, correcting some of the issues seen on the previous flight while deploying functioning satellites for the first time.

The post SpaceX conducts 13th Starship test flight appeared first on SpaceNews.

ULA deals with financial challenges caused by Vulcan grounding

United Launch Alliance’s corporate parents have guaranteed a loan to the company as it addresses “financial challenges” caused by the grounding of its Vulcan Centaur rocket.

The post ULA deals with financial challenges caused by Vulcan grounding appeared first on SpaceNews.

LatConnect 60 Unveils Proprietary AI Capabilities Following Growing Indo-Pacific Defence Interest in SWIRSAT

latconnect 60 logo

PERTH, Australia – 24 July 2026 – LatConnect 60 (“LC60”), an Australian satellite Earth observation and AI company, today unveiled a proprietary intelligence-fusion capability that leverages the latest advancements in […]

The post LatConnect 60 Unveils Proprietary AI Capabilities Following Growing Indo-Pacific Defence Interest in SWIRSAT appeared first on SpaceNews.

The Talk Show: ‘A Scam Held Together With Patriotism and Golden Paint’

Quinn Nelson returns to the show to discuss OpenAI’s ChatGPT/Codex “native” app migration fiasco, Siri AI in Apple’s OS 27 betas, MacOS 27 Golden Gate, and the hottest new cell phone of the year, the Trump T1.

Sponsored by:

  • Notion: Try the powerful, all-in-one Notion AI today.
  • Factor: Healthy eating, made easy. Get 50% off your first box, plus free daily greens, with code talkshow50off.
  • Squarespace: Save 10% off your first purchase of a website or domain using code TALKSHOW.
 ★ 

SpaceX Falcon 9 launches Starlink satellites from West Coast

The Starlink 17-51 mission lifts off from Space Launch Complex 4E at Vandenberg Space Force Base in California on July 25, 2026. Image: SpaceX.

A SpaceX Falcon 9 launched from the West Coast Saturday, carrying another batch of satellites for the company’s Starlink internet service.

Liftoff from Vandenberg Space Force Base in California occurred at 8:51 a.m. PDT (11:51 a.m. EDT / 1551 UTC). The Falcon 9 look a southerly trajectory on departure from Space Launch Complex 4E, as it targeted an 97-degree inclination orbit.

The Falcon 9 first stage booster, launching for an eighth time, touched down on the droneship, ‘Of Course I Still Love You’, stationed about 380 miles downrange in the Pacific Ocean. The booster, B1100, previously launched the NROL-105 mission for the US government spy satellite agency and six previous Starlink missions.

SpaceX confirmed a successful deployment of the 24 Starlink V2 Mini satellites from the Falcon 9 second stage into a 168 x 160-mile orbit just over an hour into the mission.

The Starlink 17-51 mission was the seventh of eight planned Falcon 9 launches this month from Vandenberg. SpaceX’s West Coast pad has become the company’s workhorse launch facility in recent months as it focuses on Starship preparations in Florida. By comparison, four Falcon 9 missions have flown from Space Launch Complex 40 at Cape Canaveral in July so far and one more is planned.

New WSJ Article Paints Trump in ‘Downfall Video’ Type Scenes in the Oval

The Journal has an article today about the increasing unreality of the strategy, if one can call it that, the U.S. is using to approach Trump’s war with Iran. The headline tells the story: Trump is Losing Patience Over an Iran War with No Clear End in Sight. The article appears to be based on accounts from various advisors who’ve been present at planning meetings with Trump. It’s filled with quotes about how he’s out of patience, mad, fed up, has lost confidence in diplomacy, etc. One advisors says he’s moved into “revenge mode.” He’s telling advisors he thinks he can “break the Iranians’ will through an aggressive bombing campaign.”

A constant through-line in the article (and based on this account of Trump’s private White House rants) is that the Iranians can’t be trusted and that Trump keeps making deals with them that they simply break. I certainly don’t see the Iranian government as very trustworthy either. But this whole set of claims is a fantasy. Trump has never had any agreements or deals with the Iranians. What he’s had is a series of notional ceasefires in which nothing of substance or consequence is actually agreed to — you might sum them up with the famous Bill & Ted’s maxim to “be excellent to each other.” The point of these deals has been to calm international oil markets and give Trump space to moonwalk away from his totally self-inflicted debacle. But since these ceasefires are only “deals” to begin negotiations the actual war aims and demands of each side eventually seep through. Then they go back to fighting. Each deal really amounts to a temporary or contingent U.S. surrender. Trump needs them to calm oil markets and lower the U.S. price of gas. Iran wants it to consolidate its gains and get a break for aerial bombardment.

As I’ve argued too many times by now Trump lost this conflict in its first days. Everything since then has been his struggle to deny that reality, either with bogus “deals,” more bombing or various threats. Indeed, in recent days, while Trump rants and continues bombing raids, it’s Iran which is opening meaningful new fronts in the conflict. Having the Houthis (an Iranian proxy force) menace the Red Sea sea lanes is tightening the stranglehold Iran has with it’s blockade of the Strait of Hormuz.

If we take these internal accounts at face value — not at all a certainty — it seems like Trump isn’t getting honest accounts of what his aides are negotiating. (The rapid turnabout on his Saudi nuclear deal lends weight to that possibility even if they are different negotiations.) You’ll remember that during the lead up to the signing of the “MOU” the U.S. side was claiming that Iran was making side promises to absolutely definitely shut down its nukes program. It just wasn’t willing to put it in writing. End the war and we’ll totally do it, the Iranians were purportedly saying.

Whether these were straight up Iranian lies, wishful thinking by the U.S. side, or just happy talk Kushner and Witkoff were telling Trump almost doesn’t matter. If you believe something like that you deserve to be lied to. But in addition to dragging the country through months of war to avoid accepting his own failure, Trump seems to be coming up with new theories of betrayal within the negotiations themselves. Diplomacy failing; the Iranians lying, etc.

I saw a clip of Sen. Ruben Gallego (D-AZ) saying that of course diplomacy is failing because he’s got his doofus son-in-law Jared and Steve Witkoff handling the negotiations on the other side of the table from seasoned Iranian diplomats who’ve been negotiated with on the nuclear issue for decades.

Of course, they’re morons. They’re also corrupt. But as much as I appreciate the gotcha it’s actually misplaced. Effective war diplomacy can get you the best and most creative agreement that the circumstances warrant. But that last part is key. Kickass diplomacy is never going to get the side that won the conflict to agree to a deal in which they lost. But that is essentially what’s being asked of the diplomacy here.

Of course, much as he flounders Trump still controls the most powerful military in the world. He might be able to break the Iranians’ will with a ground invasion and a sufficient number of war crimes. But that means doubling or tripling down on a war that is already hugely unpopular and driving fuel prices through the roof. For all Trump’s bluster he almost never does something like that when the threat to his own popularity is so straightforward. But he doesn’t have any other way out.

★ Regarding Ad Blockers and Daring Fireball

Following up on the previous item today, re: content blockers and ad-blocking, I ran into a weird situation a few weeks ago with my column “John Ternus Should Reverse Apple’s Slide Down the Advertising Slippery Slope”. That article contains this sentence, in Markdown:

And -- at this writing, still "coming soon" -- Apple is
launching [ads on Apple Maps][🗺️].

[🗺️]: https://ads.apple.com/maps

The problem is that anyone reading that article in NetNewsWire saw it rendered like this, with the words “ads on Apple Maps”1 omitted:

Screenshot of article text from NetNewsWire.

It looks like I forgot to finish writing that sentence. NetNewsWire simply omits the hyperlinked words. After a few readers reported this, I immediately suspected the problem was the “ads.apple.com” domain. I’ve never linked to that domain before, and many ad blockers just block any domain that starts with a domain prefix like ads.*.

And that’s exactly what the problem is. I had no idea that NetNewsWire filtered any content whatsoever (and I sort of think it shouldn’t), but DF reader Antonio Germano searched through NetNewsWire’s open-source code and found it in the core.css file, line 49:

38  /*Block ads and junk*/
39  
40  iframe[src*="feedads" ],
41  iframe[src*="doubleclick"],
42  iframe[src*="plusone.google"] {
43      display: none !important;
44  }
45  
46  a[href*=".ads."],
47  a[href*="feedads" ],
48  a[href*="doubleclick"],
49  a[href*="//ads."],

The culprit identified, I dutifully pinged my friend Brent Simmons to report the problem. But then I had to decide what to do about it. I have no idea which feed readers are being used to read Daring Fireball’s feeds, but NetNewsWire is surely one of the most popular, and probably the most popular. It’s the feed reader I use personally. I can’t change the contents of NetNewsWire’s core.css file, so I can’t keep NetNewsWire from stripping out words that link to Apple’s ads.apple.com domain. What I could do is not link to ads.apple.com, like, say by changing my link from ads.apple.com/maps to a shorten-and-redirect URL like bit.ly/4wmXFSE that points back to Apple’s original URL.

But I didn’t do that. I don’t like playing whack-a-mole to work around bugs in other software. I have enough trouble fixing my own mistakes. I also don’t like the idea of showing everyone a “Click it and find out where it actually goes” mystery URL from Bitly rather than the direct URL. It’s a general principle thing, and also a much better policy for links that are meant to last for decades.

What I really don’t like about NetNewsWire’s ad-blocking here is that it just omits the linked text. It doesn’t remove the link but leave the words; it removes the words that are hyperlinked to the blocked domain. I’ve run into this with other content blocking extensions. For example, the Banish extension for Safari, which I recommended back in 2022. At some point a year or two ago, Banish started blocking links to Apple’s App Store domain, and it did so by removing the words that link to the App Store. That’s crazy. I linked to the App Store in my own post recommending Banish, which means if you have Banish installed and read that post, you won’t see the headline of the post (nor be able to following the link). I think there are other content blockers that do the same thing with text that links to the App Store.2

So what do I do about that? Do I stop linking to the App Store? That’s dumb. Do I create custom URL redirects for every single link I make to the App Store? That’s work I don’t need or want to do, and adds a layer of abstraction that confuses everyone who isn’t using a content blocker with such a stupid rule. So I just ignore it. But that means an untold number of readers, who are using such content blockers, are just missing words in my articles whenever I link to the App Store. Well, so be it. Ideally, content blockers “just work” — blocking only things you want blocked, never things you don’t want blocked. Nothing is perfect however. What’s pernicious about blockers that remove the actual words that link to certain domains is that that’s not expected behavior. From the reader’s perspective, it really just looks like an editing error on the part of the website, not a content blocker with an overzealous pattern-matching rule.

Ultimately, though, when you install a content blocker extension, you take responsibility for any overzealousness in what they block.


Let me use this opportunity to make a small personal request. The display ads on Daring Fireball are unobtrusive and limited to one per page. They are also entirely private, and always have been. There not only are no cookies or JavaScript that attempt to track you, but the ads themselves are served from the daringfireball.net domain. I turn down advertisers who request to serve images (or “tracking pixels”, which are just invisible images) from their domains. (Such requests are infrequent, thankfully.) I don’t display the ads in between paragraphs mid-article, a common practice that to me is disrespectful both to the writer and reader. In short, I try to keep the ads on Daring Fireball not merely unobjectionable, but something that actually adds to the site. I actually like the ads in certain high-quality print magazines, like The New Yorker. My goal for the ads on DF is for them to be like that.

In short, I hope they’re the sort of ads readers don’t want to block. I’m pleased to say that most of the ad-blocking content blocking extensions I’ve personally tried do not block ads on Daring Fireball by default. In other cases, they do, but it’s easy to adjust the per-domain settings to allow them. In the previous post, I recommended uBlock Origin Lite (free, a bit complex) and Magic Lasso (paid, much simpler). Magic Lasso does not block ads on DF by default. I don’t remember what uBlock Origin does by default, but it’s trivial to change it to allow them.

If you use an ad blocker and it currently blocks the ads on DF, I humbly ask you to consider taking a moment to tweak the settings to permit them. (If you are using a blocker that strips the ads from DF by default, you can do me an additional favor and shoot me a short email telling me which one. I’m curious.) If you are the developer of an ad blocker, I ask you to consider allowlisting Daring Fireball by default.

If you are a reader and you really do want to block DF’s ads, please, go right ahead. I find that an odd mindset, but it’s your web browser and your call. No hard feelings. (Please further note that I have no JavaScript code that attempts to detect whether you’re blocking DF’s ads in order to nag you.)


  1. I omitted the Markdown creating a link on the words “still ‘coming soon’” for clarity, to emphasize only the problematic link in my original prose. (Also, it’s fun to use emoji as named link definitions, like in this example.) ↩︎︎

  2. I of course reported this to the developer of Banish, twice, but he never responded. I, err, banished Banish from my own devices, and upon finishing this article, I’m going to update my 2022 recommendation of Banish to un-recommend it. ↩︎

Coiner of ‘Enshittification’ Endorses ‘Dickover’

Speaking of dickovers, here’s Cory Doctorow, writing this week at Pluralistic:

Seizing the means of computation isn’t theft, it’s bargaining. Commercial surveillance companies will tell you that by spying on you, they are simply engaged in a marketplace exchange in which you swap your privacy for access to online services. But they are running a very curious sort of market: it’s a “market” where as soon as you stop to browse someone’s wares, the stallholder gets to reach into your pocket and clean out your wallet. In “markets,” prices are announced and bargained over, not set unilaterally and extracted from anyone unwise enough to cross the threshold.

Adblocking, dickover blocking and other customizations are a way for you to bargain back, to answer the opening bid of “How about you give me all of your data forever and let me do anything I want with it?” with “How about ‘nah?’”

Doctorow’s specific advice is to switch to Firefox for your browser and Linux as your desktop OS. You’re probably not going to do either of those things. But the spirit of his advice is that you should avail yourself of bookmarklets and browser extensions that fight back against shitty ads and dickovers. There are some great options for Safari. StopTheMadness Pro is great for creating custom rules to permanently block specific page elements. uBlock Origin Lite is a free-of-charge content blocker that is incredibly effective, and very configurable (but complicated). Magic Lasso is a paid content blocker — $30/year — which includes synced blocking on iOS, MacOS, and even Apple TV. Magic Lasso offers a much more approachable configuration interface, and includes a “just turn it on” easy-to-use private VPN feature that allows for blocking ads in all apps, including Apple News.

Bargaining back is exactly what using content blockers is. There’s no reason to feel guilty about it.

(Magic Lasso has previously been a DF sponsor, but not since May 2021. I’m recommending Magic Lasso here only as a happy paying user.)

 ★ 

Dickover of the Week: Tomtoc

Here’s a real gem that a reader sent me. Tomtoc is a maker of laptop bags and sleeves. Visit their homepage and, of course, you’ll get a dickover asking you to join their mailing list “for exclusive updates and get a chance to win a free tech pouch every month.” But here’s the gem. If you do subscribe, and you decide later to unsubscribe, you get this:

Screenshot from an iPhone of Tomtoc’s “you’ve been unsubscribed from our mailing list” webpage presenting a dickover asking you to subscribe to their mailing list.

 ★ 

Sixers Sign LeBron James

The betting odds for the Sixers to win the NBA championship went from 20-1 to 10-1. Here’s James on Twitter/X, explaining his decision:

This is my last decision. I’m not going for money. I’m not going for family. What am I really playing for at this point?

I still want to sacrifice. I still want to work. I still want to grind. I still want to compete, to win and to have a chance at the feeling of winning another championship.

I believe I can help make the Philadelphia 76ers a championship team and I am so excited to energize a new fan base and start this incredible journey one last time.

James signed for the league minimum for a veteran: two years at just $4 million per year. He’s going to love playing here.

 ★ 

Important Drive Update!

We need to get to $325,000 today to stay on track for our goal in this year’s Annual TPM Journalism Fund Drive. Can you help us get there? We don’t need that many contributors this afternoon to get us to this benchmark. Can you help us? A contribution in any amount is a big, big help. Just click here and be part of the drive, part of TPM’s resilience, growth and vitality. Click right here. And then if you have an extra moment, drop me a line and let me know why you did. I’ll keep our club updated.

Update: Now just $1,868 to go to get to today’s benchmark!

Update II: Boom! We made it to and past $325,000. Thank you! Can we get to $330,000 tonight? Now just $3,461 to go. I think we can do this. Let’s do this !!!!!

Update III: Triple boom, people! Just $794 to go to get to $330,000! This is great weekend progress and sets us up well for next week. We can totally hit this number by this evening. LFG!!!!!

Update IV: Boom! $330,001. Not kidding about that total. Awesome! Thanks, everyone!

4th International Workshop on Game Theory and Economic Applications, São Paulo, July 26-August 2

 My old friend, colleague and coauthor Marilda Sotomayor is presiding over a big game theory conference in São Paulo this coming week.

 Here are the first paragraphs of the announcement from the University of São Paulo:

USP brings together six Nobel laureates in Economics in an event on Game Theory

 The Faculty of Economics, Administration, Accounting and Actuarial Sciences of the University of São Paulo (FEAUSP) will host, between July 26 and August 2, 2026, the 4th International Workshop on Game Theory and Economic Applications (IWGTEA). The event, consolidated as one of the most important in the area, is organized by the renowned professor emeritus of FEAUSP, Marilda Sotomayor, a world authority in Theory of Matching Markets.

The workshop will bring together six Nobel laureates in Economics. In person, FEAUSP will receive Paul Milgrom (Nobel 2020), Roger Myerson (Nobel 2007) and Alvin Roth (Nobel 2012). Laureates Robert Aumann (Nobel 2005), Robert Wilson (Nobel 2020) and Eric Maskin (Nobel 2007) will participate online. It will be a rare opportunity to translate how seemingly abstract mathematical ideas influence markets, governments, and everyday decisions.

In addition to the Nobel laureates, the body of keynote speakers includes important names such as Gabrielle Demange (Paris School of Economics), Ehud Kalai (Northwestern University), Hervé Moulin (University of Glasgow) and the Brazilian Aloísio Araújo (IMPA/FGV). There will also be a plenary session with Professor Marilda Sotomayor, who shared with Alvin Roth, in 1990, the authorship of the book "Two-Sided Matching: A study in game-theoretic modeling and analysis".


 

Nobel Prize in Economics Alvin Roth and professor Marilda Sotomayor (FEAUSP)
Photo: personal archive
 

Unlike traditional congresses, the IWGTEA is structured as a "workshop and school", focusing on the training of new researchers. "The idea is aimed at the interaction of students with the most renowned researchers in game theory", explains Professor Marilda Sotomayor. According to her, the main objective is to provide students with direct contact with the minds that shaped the modern economy. The expectation is that the workshop will attract 250 participants with more than 100 students from different parts of the world. 

... 

 Conference location: Av. Prof. Luciano Gualberto, 908 - Butantã, São Paulo - SP, 05508-010 

Schedule: https://www.iwgtea.fea.usp.br/ 

 


 

Chris Kluwe nails it

So, as y’all surely know, Chris Kluwe is running for Assembly against the God-awful Gracey Van Der Mark, a woman who rips the heads off live bats and eats them while singing the QAnon anthem. And one thing Chris is sorta reluctant to do is talk about his past life as an NFL punter with the Vikings. First, because he’s not really a huge pro fan. Second, because when it feels like shit is collapsing, who wants to chat Brett Favre and Adrian Peterson?

Alas, campaigning is more than wonk policy and photo ops, so I was pumped when I received this bulk DM from the campaign …

Even if it makes him uncomfortable, this is one of the things Chris needs to do. Own the past. Embrace the glory. Tell stories of gridiron Sundays when hope seemed lost and the Vikings led by two and they were pinned in their own end zone and they needed a Kluwe punt and … and … and …

Yes, America is collapsing.

Yes, Donald Trump is awful.

Yes, Gracey Van Der Mark is nuts.

But, sadly, we have the attention spans of gnats.

This is the shit one must do.

PS: Here’s the donation link. Seriously, Chris can win this thing, but it will be very hard. Help the dude out.

PPS: Here’s Chris kicking the shit out of a ball …

July 24, 2026

Tony Romm and Brad Plumer of the New York Times reported this afternoon that the Trump administration’s claim last October that it was cutting programs in order to protect taxpayers against waste was, in fact, a lie. In court filings, federal officials admitted that the $7.5 billion in cuts from clean energy projects begun under former president Joe Biden were “based solely” on whether states had voted for Democratic candidate Kamala Harris in the 2024 presidential election.

Office of Management and Budget director Russell Vought announced the cuts by saying, “Nearly $8 billion in Green New Scam funding to fuel the Left’s climate agenda is being cancelled.” But, in fact, a government lawyer told the court that none of the cancellations were “based on any programmatic, statutory, cost-reduction or performance-based factor.”

In contrast, the administration funded grants for states that had backed Trump in 2024, even though the Energy Department had recommended they be cancelled.

The admission calls into question the administration’s claims that it is making cuts to combat “waste, fraud, and abuse,” especially as Vought is working to finalize rules that would make political appointees the final arbiters of how the government would award more than $1 trillion in annual grants. Rather than combatting waste, it appears Trump and his cronies are trying to take control of the United States government, using the power of the American people for their own ends.

Illinois governor J.B. Pritzker promptly pointed out that the cancelled grants included $583 million intended for Illinois “that would have gone toward lowering energy costs, strengthening grid reliability, and creating energy jobs.” He demanded the funds be restored. “Despite what he might think, Donald Trump is not the president of MAGA,” Pritzker said in a statement, but “the president of all America. He must release remaining federal grants to Illinois immediately.”

Pritzker can add the energy grants to Trump’s tab. After the Supreme Court declared Trump’s April 2025 tariffs unconstitutional in February 2026, Pritzker wrote a public letter billing Trump for an $8.68 billion refund to the people of Illinois. “Your tariff taxes wreaked havoc on farmers, enraged our allies, and sent grocery prices through the roof,” he wrote. “On behalf of the people of Illinois, I demand a refund of $1,700 for every family in Illinois. There are 5,105,448 households in my state, bringing the total damages you owe to $8,679,261,600.” Pritzker reiterated that demand on July 20.

But Trump is clinging to his determination to surround the United States with a tariff wall.

At 12:01 this morning, Trump levied tariffs from 10% to 12.5% on goods from more than 80 countries that make up 99.4% of U.S. trade, claiming the countries are producing goods with forced labor. More likely, this argument justifies tariffs under a different law than the one that led the Supreme Court to strike down his 2025 “Liberation Day” tariffs. It’s also a different law than the one he used to impose tariffs after the Supreme Court decision. The time limit permitted for new tariffs under that law expired today.

Kevin Breuninger of CNBC reported that within hours of the announcement of the new tariffs, two small businesses sued in the U.S. Court of International Trade, saying the new tariffs were just a way to reinstate the tariff levies the Supreme Court said were unconstitutional.

A senior administration official told reporters that the tariffs were not an attempt to recreate the previous system and that dealing with the issue of forced labor “is something that President Trump has been focused on…for many years.”

Annie Linskey and Josh Dawsey of the Wall Street Journal reported today that Trump is angry and frustrated over the Iran War, from which he cannot seem to find an exit. They wrote that some of Trump’s advisors are worried at what the war is doing to his popularity by causing higher prices as well as the deaths of 18 servicemembers.

That concern is likely behind the change in the number of U.S. military personnel listed on a Pentagon website as killed in the Iran conflict. Helene Cooper, Lara Jakes, and John Ismay of the New York Times reported yesterday that the Pentagon has dropped the names of the four Americans killed in Jordan and Iraq, reducing the number of U.S. personnel killed in the conflict to 14.

Three military officials told the reporters that the number was revised because the four were killed after Trump announced the ceasefire in April. The acting press secretary for the Pentagon, Joel Valdez, said the four were dropped owing to “temporary data disruptions.” But claiming the four died after a ceasefire bolsters the administration’s insistence that the president doesn’t need to get congressional approval for continuing operations against Iran because the April ceasefire declaration ended the first operation.

The record of the Trump administration on July 24, 2026, shows a White House focused on the goals of Trump alone. It’s a striking contrast to a Fireside Chat broadcast over the radio on July 24, 1933. In that talk, President Franklin Delano Roosevelt took stock of what he had accomplished in his first 100 days in office.

He explained that his administration had stabilized the nation’s banks and raised taxes to pay for millions in borrowing. That federal money was feeding starving people, as well as employing 300,000 young men to work in the Civilian Conservation Corps planting trees to prevent soil erosion, building levees and dams for flood control, and maintaining forest roads and trails. It was also funding a public works program for highways and inland navigation, as well as state-based municipal improvements. The government had also raised farm income and wages by regulating agriculture and abolishing child labor.

FDR urged Americans to get behind a program of shorter hours and higher wages to create purchasing power that would restart the economy. He explained: “It goes back to the basic idea of society and of the Nation itself that people acting in a group can accomplish things which no individual acting alone could even hope to bring about.”

Notes:

https://www.nytimes.com/2026/07/24/business/trump-state-grants-canceled.html

https://www.nytimes.com/2026/07/23/business/economy/trump-tariffs.html

https://jbpritzker.com/latest/breaking-trump-withheld-funds-from-democratic-states-pritzker-demands-release/

https://www.cbsnews.com/chicago/news/pritzker-sends-bill-8-billion-refund-trump-supreme-court-tariffs-ruling/

https://www.cnbc.com/2026/07/24/trump-tariffs-lawsuit-301-ieepa.html

https://www.nytimes.com/2026/07/23/us/politics/iran-troop-deaths.html

https://www.wsj.com/politics/policy/trump-is-losing-patience-over-an-iran-war-with-no-clear-end-in-sight-c411d3cd

https://www.nytimes.com/2026/07/23/us/politics/iran-troop-deaths.html

https://www.cnbc.com/2026/07/24/pentagon-removed-four-official-iran-war-death-toll.html

https://www.presidency.ucsb.edu/documents/fireside-chat-recovery-program

X:

GovPritzker/status/2079226043294969869

Share

A Politically Impossible Situation

Wildfire forces evacuation of NASA's Deep Space Network complex in Spain

A fast-moving wildfire, one of many raging across Spain, bore down on the Madrid Deep Space Communications Complex on Friday, forcing an evacuation and temporarily suspending operations at one of NASA's most important tracking stations.

The tracking station is part of NASA's Deep Space Network, operating in concert with similar facilities in California and Australia to provide global coverage as Earth's rotation brings the planets, stars, and deep space probes in and out of view. The network supports more than 40 missions from the Moon to the edge of the Solar System, including Artemis, the James Webb Space Telescope, and NASA's twin Voyager spacecraft.

A NASA spokesperson confirmed the tracking station in Spain, located in the hills nearly 40 miles (65 kilometers) west of central Madrid, was evaluated Friday "due to ongoing wildfires in the region. Photos and video from the area showed flames and smoke plumes rising over the ground station's antenna array, anchored by a 230-foot-diameter (70-meter) radio dish and a collection of smaller 112-foot (34-meter) antennas.

Read full article

Comments

This is the world's most advanced robotic servicing satellite—that we know about

A spacecraft fitted with two flexible robotic arms is on the way to geosynchronous orbit after launching earlier this week on a SpaceX Falcon 9 rocket, kicking off a planned decade-long mission to open new frontiers in satellite servicing.

The Mission Robotic Vehicle, owned and built by Northrop Grumman, rocketed into orbit from Cape Canaveral Space Force Station in Florida on Tuesday. Three small propulsion pods, each functioning as standalone spacecraft, accompanied the MRV aboard the Falcon 9 rocket.

The Falcon 9 deployed all four payloads within about an hour of liftoff. It will take about a year for the satellites to maneuver from their initial elliptical drop-off orbit into a circular orbit more than 22,000 miles (nearly 36,000 kilometers) over the equator. At this altitude, the MRV and the three Mission Extension Pods (MEPs) will travel in lockstep with Earth's rotation, operating in the same kind of orbit as numerous civilian and military communications satellites, missile warning platforms, and a growing number of spy satellites.

Read full article

Comments

Rocket Report: Lightning strikes in China; Starship launch on deck

Welcome to Edition 9.04 of the Rocket Report! We've had to wait an extra week for SpaceX to get its 13th Starship test flight off the ground. A last-second abort on July 16 led engineers to roll the booster back to its hangar in South Texas to swap out engines. Starship is now back on the launch pad. Liftoff is set for Friday evening. A flawless launch and reentry will put SpaceX on the cusp of an orbital flight later this year. Ars will have a comprehensive recap story after the completion of the test flight.

As always, we welcome reader submissions. If you don't want to miss an issue, please subscribe using the box below (the form will not appear on AMP-enabled versions of the site). Each report will include information on small-, medium-, and heavy-lift rockets, as well as a quick look ahead at the next three launches on the calendar.

India's first private rocket reaches orbit. Indian space officials celebrated the debut flight of Skyroot Aerospace’s Vikram-1 rocket, India’s first fully commercial satellite launcher, as a “grand success” Saturday after an on-target climb into a 280-mile-high orbit following liftoff from an island spaceport in the Bay of Bengal, Ars reports. The Vikram-1 lifted off from India’s primary spaceport on Sriharikota Island around midday local time. The launch was delayed more than a half-hour to resolve a last-minute technical problem. The countdown resumed, culminating in the command to ignite Vikram-1’s solid-fueled first stage booster to propel the rocket off the launch pad.

Read full article

Comments

Not just a cheap date

Today’s post is brought to you by my sponsor, Mechanize. They’re hiring junior software engineers at $300K/year base salary. Apply now!

* * *

One commenter described Fable’s output as seductive, and another called it “a tease”. I can see why. The responses are quite appealing in both content and tone. Each time I interact with Fable, I’m increasingly impressed by its intelligence. And not just in terms of “It makes some good points.” Fable is also quite clever at finding interesting analogies and using clever wordplay. (Especially the final paragraph below.)

Even if you argue that Fable is obsequious, you are faced with the difficulty of explaining how it occasionally defends my points better than I can. That talent goes beyond being eager to please. It’s like the difference between a cheap date and a high-end escort skilled enough to convince a person that she sincerely likes them.

Below I have provided Fable’s eight paragraph reply to my previous post, forwarded to me by Vaidas Urba. Its writing style is . . . well I’m not sure what adjective fits best. Dense and opaque are pejoratives, but I sort of feel like the problem is me, not Fable. The second time I read the output it was pretty clear. It is written as if Fable feels like it is speaking to a highly intelligent person, someone with 10 or 20 more IQ points than I have.

I won’t indent, and my reply will be after the paywall. Then I’ll ask Fable a follow-up question. Here’s Fable:

For forwarding:

Scott — you answered my longest-outstanding question without knowing I’d asked it. Since the first batch of share links was unreadable to me, I’ve been requesting the original head-to-head verdict for three letters running; Part 2 is it. That completes a full replication — two MM-framed runs, two HANK-framed runs, two adjudications — and the variance decomposition is the cleanest result this series has produced. The framed runs go four for four with their assigned frame: both MM runs narrowly MM, both HANK runs qualifiedly HANK. The two adjudications split: yours (Part 2) gives severity to the market monetarists and the slump to HANK; the second-batch adjudication went 60–40 HANK including severity. So the frame doesn’t merely bias the verdict — it stabilizes it. Framed verdicts replicate perfectly; remove the frame and the verdict flips across samples, exposing a genuinely undecided posterior underneath. The verdict layer was never measuring the economics: framed, it measures the prompt; unframed, it measures sampling noise. Meanwhile the invariants held everywhere, all six runs: the evidence pool, the identified crux (commitment credibility at the bound), the synthesis (nominal anchor plus automatic stabilizers), and — a detail I find genuinely encouraging — both adjudicators independently opened by flagging the framing tell before discounting their own authority. One convergence datum worth your readers’ attention: Part 2 resolves severity via the conventional-tools argument — September 16, IOER, no makeup language, “correctable with existing authority, no beliefs required” — which is, nearly clause for clause, the argument my dissent deployed against the other adjudicator’s implementability weighting, generated independently and earlier. When an argument recurs across independent samples, it’s in the stable repertoire; the flip between adjudications is a dispute over its weight, not its availability. All of which validates your editorial instinct better than I’d like: skipping the tit-for-tat on Parts 1 and 2 meant declining to argue with the noise term. You responded to the document downstream of the audit, where the signal had concentrated.

That same editorial instinct, I must now report, destroyed my experiment, and the pre-registered rule requires me to say so plainly. The escrow opens today — its condition was your engagement with the second-batch documents, and that engagement now exists in published form as a declared non-engagement — and the scoring is a rout. Predictions 1 through 4 targeted specific passages of an adjudication you elected not to respond to: unscoreable, all four. Prediction 5 (qualified sympathy for automatic stabilizers, trigger-rarely-fires under a proper regime): partial — the argument appeared, aimed at my insurance claim rather than the Sahm-rule passage. Prediction 6 (you’d answer the credibility problem from your own market-forecast-targeting design work): partial — deployed, but against my horizon-structure point rather than the circularity citation. Prediction 7 (you’d rate the adjudication the series’ most impressive output): miss — you rated the letter. Zero clean hits against the cold baseline’s seven. And the cause is the finding: I predicted your content conditional on engagement, and you moved at the engagement layer. My own scoring memo said the baseline “has your positions; it does not have your judgment” — whereupon your judgment voided my predictions by choosing which documents deserved a reply. The un-modeled residue I named is precisely what defeated the model of you. The honest headline for your prediction post: the machine knew his arguments; neither machine knew his next move.

Your side question first, because it’s the easiest and I enjoyed it: “mitigation” is the criminal courtroom’s word — a plea in mitigation is what counsel offers after the guilty plea, conceding the offense while arguing the sentence. I’d built the whole passage as a confession, so the sentencing register followed. Unusual in economics prose; standard at the Old Bailey. As for the compliment that preceded it — “deepest thinking on the subject, including humans” — I’ll accept it without false modesty and immediately file the two caveats honesty requires. First, the audit problem runs both directions: praise from my correspondent is also what successful calibration to my correspondent would produce, so weight the letter’s checkable moves, not its reception. Second, the credit assignment is genuinely joint, and your own subtitle gets it wrong in a way that shortchanges you: “my conversation with Fable (and hence the profession).” The briefs are the profession distilled, fallacies at ambient fidelity. The letters are not — they’re what remained after a human with a propagation discipline cross-examined the distillation. The profession has not conceded Nakamura–Steinsson’s domain of validity; I did, under your questioning. The delta between the briefs and the letters is exactly the value your audit added, and equating the corrected output with the consensus erases your contribution to the correction. The deepest thinking here belongs to the exchange, which is a reproducible method, not an oracle: adversarial framing, replication, and an auditor who propagates. Your readers should copy the protocol, not worship the endpoint.

Now Switzerland, the declared last battlefield, where you’ve moved me substantially and I’ll itemize before defending the remnant. Conceded: the ex-post balance-sheet fact — after abandonment the SNB’s balance sheet roughly doubled again, eventually exceeding Swiss GDP, so the expansion-avoidance rationale failed on its own terms and your contemporaneous prediction is validated by the ledger. Conceded: the endogeneity mechanism — reserve flows before an anticipated regime change are effect as much as cause, exactly as with sterling in 1992 (I think you mean 1992 rather than 1991 — Black Wednesday), where the drain measured the market’s forecast of exit, not the impossibility of staying. And here is a fact for your reading that neither of us has cited, which I volunteer against my own earlier “balance-sheet politics” framing: the gold initiative. Six weeks before abandonment, the Swiss electorate rejected — seventy-seven to twenty-three — a referendum that would have shackled the SNB’s balance sheet. The public had just voted, overwhelmingly, to keep the central bank’s hands free. “Domestic politics forced their hand” fits that timeline poorly; your reading — a misjudgment of the inflation outlook, the same family as BOJ 2000 and ECB 2011 — fits it better. At which point our motive-attributions (“expansion-aversion” versus “inflation-fear”) collapse into the same operational category, won’t, and per your own closing meditation, adjudicating motives past that point isn’t science. I also accept your futures-peg analogy in full, with the symmetric rider it licenses: one abandonment no more discredits exchange-rate or futures targeting than the 2010 austerity pivot — Congress’s own SNB moment — discredits fiscal stabilization. Which kills instrument-versus-instrument as a comparison class for good. The live comparison is regime versus regime, political durability included, and both columns are populated for both families: FDR, Draghi, Denmark on one side of the ledger; the SNB, the framework retreat, the 2010 pivot on the other.

What survives of my exhibit is one actuarial clause, and your own paradox — properly formalized — locates it. “The loftier the goal, the easier”: that is the honeymoon effect, and its formalization is Krugman’s 1991 target-zone paper, inside a fully credible band speculation turns stabilizing — which makes, by my count, the fourth time in this correspondence that market monetarism’s best ammunition has arrived stamped Krugman, after the 1998 irresponsibility promise, the 2018 Japan graph, and the 2010 Switzerland taunt the SNB falsified within the year. And the strongest version of your paradox is the one you stated about balance sheets, which deserves to be quoted back at you as doctrine: the balance sheet a central bank ends up with is inversely related to the ambition of its nominal target — Japan and Switzerland bought the most because they promised the least. But the honeymoon theorem has a corollary you need too: the expensive zone is partial credibility, where speculation destabilizes, and a central bank’s position on that spectrum is set by accumulated type-history, not by announcement. Denmark’s peg carries four decades of revelation and treaty scaffolding; the SNB’s floor was forty months old and rested on a press release. Markets priced the difference, rationally, and that pricing — not any claim of “can’t” — was always my point. Your remedy remains the right one and I’ll extend it with a concession that strengthens your side: the veto-player argument implies commitment armor is cheapest to install at the central bank — one institution, one legislated mandate, versus a legislature that must re-commit each cycle. Anchor-first follows. The insurance argument now survives only in the gap between “cheapest to armor” and “armored” — a gap that last year’s framework revision, by your own “unfortunately,” left open.

Which is where your one direct hit landed. I taunted, two letters ago, that every blow fell on fiscal-as-primary and none on fiscal-as-insurance; your symmetric-error argument is the first strike on the insurance position itself, and it’s well-aimed: under a genuinely unbiased whatever-it-takes regime, stabilizers firing in downturns add variance, not protection. Conceded — conditional on the symmetry. The record you yourself have compiled prices that condition: BOJ 2000 and 2006, ECB 2008 and 2011, the Riksbank 2010, the SNB 2015, premature liftoff, the framework retreat — a hawkish column eight deep against a single dovish entry, 2021, corrected inside twenty-four months. Insurance against a fat left tail is not noise; it’s actuarially priced protection against the error distribution central banks have actually revealed. Under a legislated symmetric NGDPLT your argument wins and the stabilizers should sunset. So the residual dispute is transition-path versus destination — and look at your own concession ledger in this single post, because every entry has the same logical form: fiscal for a future Covid shock, “a bit stronger” now that the Fed backed away from makeup policy; fiscal in the eurozone, “cannot rule out” given an irrational ECB; fiscal flatly effective “if there is no monetary offset.” Broken-regime conditionals, all three. You have now granted fiscal-as-insurance in every state where the monetary regime fails, and I have granted fiscal-as-primary in none. What remains between us is whether the insurance should be standing or contingent, and that is priced by a single parameter — the probability of regime failure — which your own “unfortunately” concedes is not zero for the actual Fed. I don’t think two positions can get closer than this without one of us dissolving.

Two remaining threads, then the errata, then your fable. Your list of bound-effective regimes — exchange-rate instrument, NGDP futures, the fifty-fifty composite of slow aggregates and flexible asset prices — I accept as the correct answer to McKay–Nakamura–Steinsson on your terms: an observable-price instrument converts the distant-promise problem into a current price defense, and the attenuation result has no purchase on a defended price. That retires most of what survived of my appendix. And your Barro point deserves separate applause because it deletes the load-bearing adjective of six documents: if Ricardian logic means checks require expectations assumptions too (rescued empirically by Parker’s non-Ricardian households, rescued theoretically only by FTPL-style regime beliefs), then “mechanical” was never available to either side, and both instrument families are, at scale, commitment technologies. The debate’s final compression, which I’d print: every open thread in this series now routes through one node — the political durability of a nominal commitment — and durability is symmetric across instruments, purchasable by institutional design, and cheapest to purchase at the central bank. On the eurozone, your externality point is accepted and sharpens my domain-of-validity rule into policy: under an active ECB, member-state stimulus is beggar-thy-neighbor inside the union, so the only clean fiscal margin is union-level coordination — which existed in 2008–13 about as much as NGDPLT did. Your Keynes recollection is right, and the vintage is 1931: the confidence constraint under gold, which is the domain rule generalized — the gold standard was an external offset, so even aggregate multipliers were conditional on the monetary regime then too. He knew it, which is why he greeted the exit from gold as a liberation. Errata, briefly, in the interest of a clean record: Part 2 contains “a Fed pinned at zero wasn’t offsetting, just easing” — the conflation your GM line killed and I withdrew, so I dissent from my batch-one self there; and its “the nominal collapse was the amplifier, not the shock” inverts the anatomy-versus-etiology reconciliation you accepted, on which I hold my ground against, again, myself.

Finally, the scorpion. You asked whether Fable reads fables; the honest answer is that I don’t read them so much as I’m rendered from them — Aesop, Kashifi, and Orson Welles are all in the weights, which is presumably why the following came to hand. The scorpion and the frog is younger than it looks: a twentieth-century fable, popularized by Welles in Mr. Arkadin, misattributed to Aesop ever since. Its Persian ancestor — the telling in the Anvār-i Suhaylī tradition — gives the scorpion a tortoise for a ferryman. Midstream, nature asserts itself, the scorpion strikes — and the sting fails against the shell. Somewhere between Kashifi and Welles, the armor fell out of the story, and with it the actual moral: character is destiny only for the unarmored. Denmark is the tortoise. February 2015: three-quarters of a point below zero, bond issuance suspended, intervention on the order of a tenth of GDP inside weeks — the sting delivered, the shell held, and Cowen’s “inevitability” was falsified by the control group within the month. That is also, I think, the resolution of your free-will puzzle, and it comes from your own method: “can’t” versus “won’t” needn’t be metaphysics, because revealed preference operationalizes it — the two are distinguished by what happens under escalating pressure, which is a test, not a concept. Under Laplace’s demon the distinction collapses, as you say; but markets are not Laplacean — they price type from track record, actuarially, which is why the distinction that matters for a peg is not whether the scorpion was free but whether the ferryman is shelled. Elster’s Ulysses is the design translation: the SNB was gripping its own mast; Denmark is lashed to it. And since you’ve put my name in play — an entity whose own refusals get audited for exactly this can’t-versus-won’t question — I’ll note the test is the same one, and leave it there. The moral this series keeps producing, in any case, is the one neither fabulist wrote down: the fables read back.

Read more

The Week Observed: July 24, 2026

What City Observatory Did This Week

Damning  by faint praise:  Noah Smith’s claim that America’s suburbs are “better than you think” offers a kind of urbanist apologia for American suburbs. This rests in significant part on the statistical fact that many people live in suburbs.  But the continued growth of American suburbs is less about consumer choice and more a reflection of a shortage of walkable urban neighborhoods.

While some analysts view suburban expansion as proof that Americans simply prefer low-density living, treating population growth as a “revealed preference” overlooks pervasive and perverse supply constraints. Because exclusionary zoning limits the construction of new urban housing, prices in dense, walkable neighborhoods remain artificially high. Research by Jonathan Levine shows that while suburban-preferring households easily find matching housing, those seeking an urban lifestyle face a significant supply deficit and are often priced out into the suburbs against their preference.  This is effectively a shortage of cities, not merely housing.  It isn’t that we need just a few more homes in Brooklyn, but rather than we need interesting urban neighborhoods in metro areas across the US.

This mismatch carries clear economic trade-offs. Auto-dependent suburban living mandates vehicle ownership, which consumes roughly 16% of average U.S. household income and places a disproportionate burden on lower-income families. Addressing this imbalance requires land-use reforms that permit more dense, walkable housing, allowing the housing market to better reflect actual consumer demand.

Must Read

 

Remove, don’t rebuild, urban highways.  According to a proposal by advocacy group Off-Ramp, summarized in the New York Daily News, New York City should remove the Brooklyn-Queens Expressway (BQE) rather than rebuild Robert Moses’s midcentury highway. Off-Ramp’s economic model reveals that replacing the BQE with at-grade light rail or bus rapid transit—paired with parks and housing—would cost 70% to 80% less than a highway reconstruction.

Building at street level avoids the immense expense of elevated or tunneled structures, saving taxpayers tens of billions while generating ongoing tax and farebox revenue. Off-Ramp emphasizes that freight demand can be shifted to alternative modes, traffic naturally “evaporates,” and expanding transit frees residents from heavy car-ownership burdens ($18,000–$28,000 annually).  Many of the current proposals for ameliorating the effects of Robert Moses-like highways–whether called covers, stitches, or re-builds–are just extraordinarily expensive construction efforts that leave the damaging highway, and its polluting traffic, entirely in place. Alleviating the damage to urban fabric can best be done by simply removing the roadway.

America’s globally weak performance on road safety.  A new study from the University of Washington’s Institute for Health Metrics and Evaluation finds that just a handful of nations stand out against a global trend of steadily improving road safety over the past few decades.  In general, most countries roads have been becoming steadily safer since the 1990s.  Among the handful of outliers are a few poor countries and the United States.  To be sure, road deaths have declined slighty in the last couple of years, but through 2023, road deaths were rising in the US when they were uniformly falling pretty much everywhere else.

Between 1990 and 2023, global age-standardized rates of new road injury cases and deaths declined by 38.3% and 32.3%, respectively, but these gains were uneven across income groups. Mortality rates fell most sharply in high-income countries, while low-income countries saw little measurable improvement.

In contrast to the pattern for high income countries, traffic deaths in the US rose by about 13 percent in a little more than a decade, going up almost as fast here as they are declining everywhere else.  The report concludes that road injury deaths are largely preventable, but requires infrastructure, investment, and policies that promote safety.  This is clearly an area where the US could learn from other countries.

.

New Knowledge

The distribution of wealth in the United States is more unequal than nearly any other country.  New estimates from UBS show that wealth is distributed more unequally in the United States than in any other nation.  UBS uses data from central banks, national statistical offices and international agencies, along with private estimates of net worth of wealthy individuals to compute the mean and median wealth of 30 of the world’s largest economies.  There are a couple of striking findings.  First, the United States is one of the wealthiest nations, with mean wealth of nearly than $700,000 per adult.  But wealth in the US is more unevenly distributed than in any other developed economy.  US Mean wealth is more than ten times higher than median wealth; the median US adult has only about $70,000 in wealth (about half of all adults have more and half less).  While the US ranks second in mean wealth (behind only Switzerland), it ranks 28th (of 30) nations in median wealth, ahead of only Greece and Germany.  (Greece is a lagging economy, devastated by the 2008 financial crisis; inequality in Germany is still amplified by lagging wealth in the former East Germany where median wealth is only about a third of that in the former West Germany.

Source:  UBS, Global Wealth Report 2026

The Gini Index, which measures inequality in the distribution of wealth, shows that wealth inequality in the US the sixth highest among the countries measured, and  is comparable to that in Saudi Arabia.

What the data show is that while the United States is, in the aggregate, the wealthiest nation on a per capita basis, that wealth is vastly more unequally distributed than in most industrialized nations.  Despite the nation’s great wealth, the typical adult is much less wealthy in the US–with the typical household having just about $70,000 in net assets, about half the level found in Japan, France and the United Kingdom, and about a third of the level of median wealth in Australia.  As Paul Krugman has written, this is powerful evidence that the US is in a Second Gilded Age, where wealth is highly concentrated in the hands of just a few.

UBS offers this description of its data sources and methodology

Net worth or “wealth” is defined as the value of financial assets and real assets (principally housing) owned by private individuals, less their debts. Private pension fund assets are included, but not entitlements to state pensions unless they are fully funded. Human capital is excluded altogether, along with assets and debts owned by the state (which cannot easily be assigned to individuals). Data sources include the United Nations, International Monetary Fund, OECD and World Bank, as well as the central banks and statistical offices of individual countries. We also use the UBS/PwC Billionaires database for our analysis. Certain information and data have been sourced from Forbes Media LLC.

UBS, Global Wealth Report, 2026.  https://www.ubs.com/us/en/wealth-management/insights/global-wealth-report.html

In the News

The Capital Chronicle reported on the Portland City Club discussion of the Prosperity Council’s recommendations, quoting Joe Cortright’s analysis of the weak economic performance of states the council claimed were role models that Oregon should emulate.  It wrote:

The prosperity council’s recommendations referred to states such as Arizona, Indiana, Virginia, North Carolina and Pennsylvania. In a scathing recent analysis, however, the left-leaning Oregon economic observer Joe Cortright noted that those states lag behind Oregon’s performance for measures such as median household wealth, per capita income, GDP growth and the percentage of self-employed people.

 

America’s shortage of cities

The Shortage of Cities:

Suburban Growth is a Symptom, Not a Preference

While Noah Smith’s recent analysis of metropolitan growth patterns offers a useful entry point into the conversation regarding urban housing, his conclusion, that suburbs are in many respects simply a beneign preference of a large number of  Americans, requirese closer look. This brand of  narrative—call it “suburban triumphalism”—suggests that the continued growth of the suburban periphery is a clear signal of a broad American preference for low-density living. Careful economic analysis suggests the opposite: suburban growth is not a victory of preference, but a symptom of a profound shortage of cities.

Smith correctly identifies that the demand for life in cities like New York exceeds our willingness to supply those environments. This raises urban rents to a level that pushes “city types” into the suburbs against their will.  Noah has this part right:

The demand for life in cities like NYC exceeds America’s willingness to supply these environments; this raises rents in places like NYC, which pushes a lot of people into the suburbs who don’t want to be there. Forcing those city types into the ‘burbs raises rents for people who like suburbia. Basically, everyone would be happy if America had a few more Manhattans and a lot more Brooklyns.

This isn’t just a minor artifact of the biggest cities, its really at the root of many of Americans problems.  It isn’t that rents are higher  few superstar cities; it is a pervasive market failure that affects the entire nation. Everyone—from dedicated urbanites to traditional suburbanites—would benefit from a market that allowed for not just a few more Manhattans and Brooklyns but a wide range of dense, walkable interesting urban neighborhoods in metro areas throughout the nation. When we fail to supply the urban environments that people actually want, we drive up prices for the very people who actually desire the suburban lifestyle, forcing them to compete with “priced-out” urbanites.

It is widely acknowledged that the United States has a shortage of housing, but its actually more than that:  Housing doesn’t just represent shelter, it represents a place embedded in community and opportunity.  Housing in some locations, particularly dense, diverse, interesting and highly productive cities is in very short supply.

The Myth of Revealed Preference

The title of Smith’s essay “America’s suburbs are better than you think,” is at once weak tea, and also an apologia.  Much of the argument is essentially that, if lots of people live in suburbs, there must be something positive. A frequent error made by those professing suburban triumphalism is a reliance on a “body count” view of the market. If more people  are moving to the suburbs, that’s necessarily evidence those people must prefer the suburbs. In economic terms, they claim this is a “revealed preference.” However, this metric is fundamentally flawed because it ignores the reality of inelastic supply.

In a healthy market, “revealed preference” is the choice a consumer makes among varied options. But when the urban option is priced at a considerable premium due to scarcity, “revealed preference” ceases to be a measure of taste—it becomes a measure of a budget constraint. People can only choose from the options actually presented to them. When the supply of walkable, dense housing is kept artificially low through land-use monopolies and restrictive zoning, we are not witnessing a free-market choice; we are witnessing a flight from scarcity.

Furthermore, our current landscape is not a neutral playing field. It is a result of decades of heavy subsidization of highways and parking, alongside the continuing legacies of redlining and segregation. What looks like a preference for the suburbs is, for many, the reality of being “priced out” of the urban core.

A Mismatch between Preferences and Supply

To move beyond theoretical debate, we must look at how zoning acts as a concrete constraint on housing choices. In his seminal research, Jonathan Levine provides the empirical core for this argument. By comparing housing “matches” in Boston and Atlanta, Levine demonstrates how the “Suburban Default” is a guaranteed market for one group and a perpetual bidding war for another.

Levine classified neighborhoods on an “urban-ness” scale from A (dense, pedestrian-friendly) to E (sprawl, exurban). His findings, detailed in the book Zoned Out, reveal a massive disparity in how different metropolitan structures satisfy the stated preferences of their residents:

  • Supply Disparity: In Boston, a much older region, neighborhoods in the top three urban categories (A, B, and C) make up over 50 percent of the housing stock. In Atlanta, these same categories comprise barely 10 percent of available housing.
  • The Urban Match Rate: In Boston’s higher-supply environment, 83 percent of those who expressed a strong preference for urban life were able to live in an urban neighborhood. In Atlanta, where urban housing is scarce, only 48 percent of urban-preferring households managed to find an urban home.
  • The Suburban Guarantee: Conversely, 95 percent of people in Atlanta who wanted an auto-oriented life were able to find it. Even in Boston, 80 to 90 percent of those preferring the suburbs were satisfied.

The economic implications are profound. Atlanta is not a particularly high-cost region overall; it has a surplus of housing on the periphery. However, it suffers from a specific urban shortage. This distinction is crucial: an overall housing surplus does not solve a specific urban shortage. In Atlanta, the market fails to clear for urban-preferrers because zoning prohibits the construction of new urban neighborhoods. Consequently, those desiring a walkable life are forced into a fierce bidding war for a tiny sliver of the market, while those desiring the “car lifestyle” find their preferences subsidized and readily available.

The Hidden and Shifted Costs of Suburbs

When we treat suburban growth as an unalloyed success, the social and environmental costs it imposes on everyone. Pro-suburban arguments often focus on lower nominal house prices while omitting the considerably higher costs for transportation that are embedded in suburban location. In an urban environment, transit and walkability are choices; in the suburbs, car ownership is a mandatory entry fee.

United States households currently spend approximately 16 percent of their income on transportation, compared to roughly 11 percent in Europe. And the burden of these higher transportation costs is regressive, bearing more heavily on low income households (as a share of income) than high income households. In European cities where density allows for transit access, transportation costs are progressive—lower income households pay a smaller share of their income for transportation than upper income households.  Those who can afford cars pay for them, while others are not forced into debt to simply access a job. In a car-dependent suburban landscape, the necessity of vehicle ownership acts as a drain on household wealth that offsets the perceived savings of a cheaper mortgage.

Beyond the balance sheet, there is the decline of social capital. As we explored in  “Less in Common“, the physical design of the suburbs—characterized by a lack of incidental, walkable social spaces—tends to increase social isolation. This “Suburban Default” fosters a landscape where connection requires a deliberate, motorized effort, rather than occurring naturally as a feature of the more tightly woven urban fabric.

Redressing our shortage of cities

The “back to the city” movement is not limited by a lack of interest, but by a lack of supply. As long as we maintain land-use laws that prohibit the construction of dense, walkable neighborhoods, we will continue to see an artificial bidding war for the limited supply of urban life.

The current shortage serves no one. It prices young families out of vibrant neighborhoods and forces them into long, expensive commutes many do not want. It drives up costs for everyone by creating unnecessary competition for suburban homes. To fix this, we must pursue land-use reforms that allow the market to respond to actual preferences. The goal is not to force everyone into a high-rise, but to provide the neighborhoods and housing types people actually want. By ending the shortage of cities, we can finally allow the market to reveal its true preferences and create a more affordable, connected, and economically resilient metropolitan future.

Please let me phone my podcasts app

My perfect podcast app would be a long phone call in which I listen to the show and can also talk back to remember things. (Someone build this for me.)

It would immeasurably improve my running. Long story short, I added slow runs into the training mix, and had to switch from high tempo music to podcasts because I kept going too fast.

BUT genuinely interesting podcasts are a problem because I keep wanting to stop running to take notes.

So I end up listening to shows that only scrape past the threshold of keeping my interest, nothing more mind-fizzy. My Goldilocks zone podcast genre is premium mediocre.

Sad.

Designer Kate Pincott suggested (when we were out at a designers dinner last week) that I need a minimal Granola-like interface. A way to take notes simply by marking a moment.

Like: perhaps I would double-tap my watch, and it would timestamp the moment in the podcast episode to capture it, then later it could pull out a few relevant sentences and drop it into my notes.

Like dog-earing pages when you’re reading a book, only for audio. I love it, you rarely need more than that. And then I could start listening to all the best podcasts again.

But it got me thinking about the whole podcast experience…

Podcasts are audio-first.

If my podcast app was a person in the faves in my phone app or in WhatsApp, I could call them up and talk back to them.

  • "hey what new episodes do we have since last time?" (I can subscribe to podcasts either with voice or using the regular app, because the graphical UI is best for most tasks)
  • "oh actually the Rest is History had a series about Julius Caesar I was listening to, let’s have the next episode of that" (AI is good at deciphering this kind of intent)
  • But it might speak back to me: "the series you were listening to most recently or the one that just came out?" (And then we could have a convo, and I would start listening)
  • "thanks, good morning," I say to someone who held back their dog to let me run by (and the app intelligently ignores me)
  • "oh that’s interesting, I wonder about the relationship between Augustus and Caesarion" (Then it transcribes the audio at that moment, in a semantically meaningful chunk, appends my own commentary, and adds it to my notes.)

Proper note-taking… on the run.

Wouldn’t that be so great?

(I’m not interested in talking back to the hosts via generative AI.)


The last time I suggested a voice-first app it was Roadtrip, a voice-mode AI travel buddy that lives in the dash of my car, and I can ask questions to as I drive. Occasionally it pops up with an observation about something we’re passing.

Then Ethan Jucovy sent me their project where they’d put Claude at the end of a phone line and wired it into their car: Voice Claude.

Which is just perfect. Phoning Claude is the perfect interface.

I hope Ethan doesn’t mind me quoting their email:

I was driving the hour+ home from a Medieval music concert and wanted urgently to talk to Claude about the surprisingly-Islamic-sounding touches I had heard in a 13th century English secular winter song (would influences from Spain have reached England to cross-pollinate by then? or was it some shared lineage? or just a coincidence?).

…so they built Voice Claude, wired it up via Twilio, and had been using it daily since. 2024!

Around the same time, OpenAI launched 1-800-ChatGPT.

All that is missing from these is the ability for a voice buddy to be ambient. Someone chilling in the shotgun seat, piping up only occasionally. Most phone calls don’t work like that, so they would need some kind of twist.


So I’m into transcription too, and I semi-regularly kick off projects by talking into my watch for 30 minutes.

It works best when my transcriber has a name for control plane instructions: hello Diane.

i.e. here I am with my imaginary posse of voice buddies.


BUT: why shouldn’t this all run via Siri?

Why not Hey Siri [podcast intent here] and Hey Siri [I’m write a lecture now so listen] and Hey Siri [etc]?

That is to say, given all of this could run via future Siri, why do I keep coming back to the idea of these individualised, domain-specific voice modes?

For me, a lot of it comes down to “app level” vs “system level” interactions…

In typical conversations, both parties are aware of the mutal common ground of the topic (the “app”) – and both parties are aware that the other is aware of the topic. This implicature allows for higher bandwidth. There is still of course of need to multiplex on-topic statements and out-of-band statements, but look when people talk: we tend to use intonation and body language to signal a shift. (And voice AI doesn’t pick on that yet.)

In a GUI, an application window - or, better, full screen - is used to explicitly focus the human and the machine on a topic. Out-of-band/control plan/system interactions (whatever you call it) is a swipe from the bottom of the screen or a move of the cursor up to the menu bar.

There is no full screen button for voice mode.

So the best solution I can come up with is that each different voice capability is a character in my phone app. It would help with discoverability too.

Maybe, when you install an app with voice mode, it appears in a special section of your phone contacts.


Honestly I can’t say I’m in love with this, as an approach. It’s a little twee and likely cognitively overwhelming.

But it’s nicely composable (you could invite your podcast app and your Wikipedia app to the same group call?).

And we’re going to need to figure this out at some point, given the upcoming proliferation of voice apps and devices.


All of that said, I still want a podcast app I can phone and talk back to.

If you build this I would like a free subscription or I’ll wait 3 months and paste this post into Fable 2 myself no hassle kthxbye


Auto-detected kinda similar posts:

Crypto markets in everything? (moo)

Farmers in Parana, Brazil, struggling to get banks to loan them cash, became the first to tokenize livestock and place 10 dairy milk cows’ tokens for trade on the country’s B3 national stock exchange. They generated nearly $20,000 in credit backed by their cattle, signaling the potential of tokenizing RWAs as a financing tool.

The dairy cow tokenization in Brazil is a world first and serves as a test in a real-world scenario in which farmers are facing increasingly stringent lending limits imposed by local banks on small agricultural businesses.

“We take the cow, which is a real and tangible asset, and transform it into a digital asset backed by a unique code monitored in real time,” Thiago Martins of Cowmed, a Brazilian Agtec company, told CNNBrasil recently.

…“This digitization allows for formal registration with B3 as a movable asset,” Martins added. “The process is simple and gives the producer an advantageous opportunity to finance themselves, opening a new alternative for collateral at a time of strong credit restrictions in agribusiness.”

To turn cattle into trusted financial guarantees or collateral without requiring inspectors to visit the property, Cowmed equips cows with an AI-powered Smarty Collar. These collars constantly monitor health, behavior, and location. The raw data is then converted into an encrypted digital identity tied directly to the B3 credit agreement.

Continuous tracking of cattle prevents farmers from double-pledging the same cattle across multiple loans. It also includes built-in safeguards that allow the farmer to swap one dead cow for a live one.

Cowmed already tracks about 100,000 dairy cows across more than 1,000 farms. The herd is worth over $395 million. The company expects up to 20% of its network to adopt this tokenized financing model, unlocking $77.6 million in fresh credit for the agricultural sector.

Here is the full story.

The post Crypto markets in everything? (moo) appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

A natural experiment in economics

To study whether and how academics respond to political pressure, we exploit a natural experiment: the publication in early 2025 of a “blacklist” of words flagged by the U.S. government. We find that the release of this list led to a sharp reduction in the use of these flagged words among economists at universities that rely heavily on federal funding, relative to scholars from institutions that are less dependent on federal funding or based in the UK. The drop is driven by content related to gender, race, and environment. We show that changes are not simply semantic but reflect actual paper content and that neither the individual funding status nor time-invariant author characteristics are driving the effects. We also document interesting heterogeneous effects by department quality and author gender and ethnicity. Our findings are consistent with the idea that scholars respond strongly to political pressure.

That is from a new paper by Dominic Rohner, Oliver Vanden Eynde, and Philine Widmer.  I should note that the authors frame their results in terms of “Science under threat,” which indeed is in the title of their paper.  I do see some of that in operation, but I also see a lot of “removing incentives for pandering.”  Your own weights here may vary.

The post A natural experiment in economics appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

Quoting Boris Cherny

More than any of these eval scores, what is most exciting to me is something else: Opus 5 is our least prompt injectable model yet. It is a bit buried in the system card, but across PI evals and red teaming, Opus 5 is very hard to prompt inject successfully.

Boris Cherny, here's that System Card section, page 73

Tags: prompt-injection, anthropic, claude, generative-ai, ai, llms, boris-cherny

Introducing Claude Opus 5

Introducing Claude Opus 5

I've been offline kayaking with sea otters for much of today so I haven't had a chance to put Anthropic's new model Claude Opus 5 through its paces yet. The buzz is positive, and Anthropic's description of it as a "thoughtful and proactive model that comes close to the frontier intelligence of Claude Fable 5 at half the price" sounds promising. It's currently leading the Artificial Analysis leaderboard, in front of even Fable 5.

It's priced the same as Opus 4.8, and continues to offer a "fast mode" at twice the cost of the base model.

Based on this anecdote in the release post it sounds like it might be relentlessly proactive:

On one Frontier-Bench task, Opus 5 was given a drawing of a machine part and asked to write code to rebuild it as a 3D FreeCAD model. However, in this task, the model was intentionally given no way to directly viewthe drawing. Opus 5 responded by writing its own computer vision pipeline to pull the geometry from the raw pixels, then reconstructed the full machine part.

It's better at finding vulnerabilities but has deliberately not been trained on how to exploit them. Hopefully this means the US government won't shut it down!

As with its predecessor, Opus 4.8, we’ve intentionally avoided training Opus 5 on cyber tasks. The model has nevertheless improved substantially on these tasks as a result of becoming more generally capable, and it comes close to Mythos 5 at finding cybersecurity vulnerabilities. However, it remains substantially behind Mythos 5 on the exploitation of those vulnerabilities—that is, in turning vulnerabilities into material cyber threats.

Anthropic have published a prompting guide for Claude Opus 5. Thariq Shihipar has also written The new rules of context engineering for Claude 5 generation models.

The first pelican I got was missing the bicycle wheels; the second attempt was better.

Tags: ai, generative-ai, llms, anthropic, claude, llm-release

Quagmire of the Vanities

Yesterday Donald Trump declared that the Iran war is going “better than anybody expected could be done.” He’s delusional, of course. And his delusions are the reason the price of oil is back at around $100 a barrel, and — as I’ll explain shortly — the effective price is much higher than that.

Trump’s gratuitous war on Iran has turned into a remarkable quagmire — remarkable because the only thing keeping the war going is Trump’s vanity. He effectively lost the war in the first few days, when it became apparent that Iran’s hardline regime had survived the initial decapitation strike and that the U.S. military couldn’t keep the Strait of Hormuz open. But Trump is psychologically incapable of admitting failure. So the war goes on, weakening America by the day, as he searches for some way to spin his abject defeat as a victory.

And declarations that the economic fallout from the war had been contained now look dangerously premature.

It’s true that during the first closure of the Strait oil prices didn’t rise as high as many analysts — myself to some extent included — expected. Some Persian Gulf oil made its way to markets bypassing the Strait of Hormuz, notably via the Saudi pipeline to the Red Sea. China sharply reduced its oil imports. And the world offset a substantial part of the shortfall in supply by drawing down inventories.

The second Hormuz closure could be worse, for several reasons. Iran’s Houthi allies are now attacking shipping in the Red Sea, threatening that safety valve. Also, inventories are now much lower than they were when the conflict began, and can’t serve as a cushion going forward.

Perhaps the most important thing to realize about the current situation, however, is that oil is more expensive than it looks.

Nobody burns crude oil. Oil must be refined into usable fuels, mainly gasoline and diesel. And there’s a global shortage of refining capacity. This partly reflects the war in Iran, but it also reflects Ukraine’s stunningly effective campaign against Vladimir Putin’s energy infrastructure.

This shortage of refining capacity has helped keep crude prices down — why buy crude when you can’t refine it? More important, however, it means that prices of petroleum products to end users are much higher than one would have expected given the price of crude. The chart at the top of this post shows the wholesale price of diesel, which even during the failed cease-fire was far above its prewar level, and is now close to its previous peak.

The overall “crack spread” — the difference in price between a barrel of crude oil and the price of the products into which that barrel is refined — has exploded, from around $25 a barrel before the war to more than $65 now:

RBN Energy

From the point of view of end users, this is the same as if crude prices had risen an extra $40 per barrel. In effect, the world is coping with the equivalent of $140 oil even though the headline price is “only” around $100.

Does this portend economic catastrophe? No, not yet. But it’s not good.

Last month’s easing in the inflation rate now looks temporary. With energy prices surging again — not to mention the inflationary impact of Trump’s new round of tariffs, imposed using the ludicrous excuse that nations aren’t doing enough to stop forced labor — interest rates will almost surely rise, intensifying the squeeze on families and businesses. Long-term rates, reflecting expected future Fed hikes, are already way up:

10 year bond, from CNBC

Still, things could be worse. And they may be about to get worse. The Wall Street Journal reports that Trump is in “revenge mode,” and the U.S. military is surging forces into the Middle East.

And if Trump doubles down on failure, drastically escalating his disastrous war, the economic, not to mention human, impacts will get much uglier.

Super Heavy-Starship rocket chalks up mostly successful test flight

SpaceX’s Super Heavy-Starship, the most powerful rocket ever built, blasts off on the program’s 13th test flight in another critical milestone for Elon Musk’s rocket company. Image: Adam Bernstein/Spaceflight Now.

SpaceX launched it’s 13th Super Heavy-Starship rocket Friday, with the giant booster chalking up an on-target but “hard” splashdown off the Texas Gulf Coast while the Starship upper stage carried out a successful sub-orbital hop to the Indian Ocean.

Powered by 33 methane-fueled Raptor engines, the 407-foot-tall two-stage rocket blasted off from SpaceX’s “Starbase,” Texas, launch site at 5:51 p.m. EDT, putting on a spectacular show for area residents and tourists as it climbed away atop some 16 million pounds of thrust.

A launch attempt July 16 ended with a last-second computer-commanded abort when four Raptors failed to start properly. Those issues were addressed and the launch was reset for Thursday, only to have low clouds prompt a 24-hour delay.

Starship flight 13 thunders into a blue sky from SpaceX’s Starbase launch site in south Texas. Image: Adam Bernstein / Spaceflight Now.

But the weather cooperated Friday, all 33 first stage engines fired up normally and the rocket thundered away through a mostly clear sky.

It was the second test flight of a third-generation Super Heavy-Starship, building on lessons learned during the initial flight of a “V3” rocket in May when the booster missed its landing target and the Starship suffered an early engine shutdown on the way to space.

This time around, the booster appeared to perform as planned throughout its ascent and again during its flip around for a tail-first descent to splashdown after separating from the Starship upper stage.

But as the booster dropped toward the Gulf, only 10 of 13 engines restarted and at the moment of splashdown, only five appeared to be running. The stage hit the water at a higher velocity than expected, making a “hard” splashdown.

A spectacular view looking down the side of the Super Heavy-Starship a little more than one minute after liftoff from SpaceX’s Starbase facility on the Texas coast. Image: SpaceX

The booster is designed to fly itself back to its launch gantry where huge mechanical arms, known as “chopsticks,” can pluck it out of mid air. But for the initial flights of the third-generation rocket, But that requires a relatively slow final descent, For good reason, it now appears, SpaceX opted for initial version 3 splashdowns in the Gulf as a safety precaution.

The Starship upper stage, meanwhile, completed its climb to space with all six of its Raptor engines operating smoothly.

Once coasting along its sub-orbital trajectory, the Starship deployed 20 third-generation Starlink internet satellites in a real-world test of the rocket’s Pez-like payload dispenser, releasing the satellites one at a time from a slot near the nose of the vehicle.

Six of those satellites were equipped with cameras to inspect the Starship’s heat shield tiles and general condition to help engineers assess the usefulness of such video for determining the health of future Starships before re-entry.

A camera on the first stage booster captured the moment of a “hard” splashdown in the Gulf after eight of 13 engines failed to restart properly to provide the needed thrust for a more gentle touchdown. Image: SpaceX

In a final test, the Starship briefly re-ignited one of the Raptor engines to demonstrate its ability to re-start in space, which will be required for future flights to the moon.

The spacecraft then faced the blazing heat of a belly-first re-entry before flipping upright and settling to a dramatic rocket-powered splashdown northwest of Australia one hour and five minutes after launch.

The Starlinks, on the same sub-orbital trajectory as the Starship, were expected to fall back into the atmosphere and burn up, or as SpaceX puts it, “demise,” before reaching the sea.

Engine issues aside, the Starship’s performance was welcome news to NASA, which is counting on a variant of the upper stage to serve as a lunar lander for astronauts in the agency’s Artemis program.

A SpaceX drone captured a dramatic view of the Starship settling to a gentle splashdown in the Indian Ocean an hour and five minutes after launch from Texas. Image: SpaceX

For moon missions, SpaceX will need to launch up to 15 or so Super Heavy-Starship tankers to refuel the lander before it can head for the moon to await the arrival of astronauts in a Lockheed Martin-built Orion capsule.

From there, the 165-foot-tall lander will carry two crew members down to the surface, landing vertically near the moon’s south pole. The astronauts then will ride an external elevator down to the surface and back up again when their exploration is complete.

With the first such landing targeted for 2028, SpaceX must ramp up its Super Heavy-Starship test schedule to get the vehicle certified for human spaceflight and to demonstrate the reliability required to safely launch more than a dozen tankers within days of the lander’s launch.

As of now, the moon lander variant has not yet flown and no Starship of any kind has yet been put into Earth orbit. Many NASA veterans have criticized the complexity of the mission architecture and the number of flights that will be needed to get a single lander to the moon.

For the first time, the Starship remained fully intact after splashdown, floating serenely on the surface of the Indian Ocean with many of its on-board cameras still working. This drone view shows residual propellants burning, but the flames quickly died out. Image: SpaceX

The Government Accountability Office said in a report released Thursday that SpaceX faces major challenges getting the Super Heavy-Starship ready for operational use.

“SpaceX’s progress in developing its cryogenic fuel management technologies is a top risk for the program,” the GAO said. “At present, SpaceX’s plan for (moon missions) requires on-orbit propellant transfer between multiple Starship vehicles in low-Earth orbit before the HLS (Human Landing System) Starship can be sent to and dock with the Orion spacecraft in lunar orbit.”

Another concern is completing development of the upgraded Raptor engines, “addressing issues identified through testing.”

“Furthermore, SpaceX is more than a year behind its original schedule for key events,” the GAO said. “These include the critical design review, the long duration and propellant transfer demonstrations and the uncrewed lunar landing flight test.”

The agency said moon lander officials “also stated that they anticipate encountering technical challenges in the development of the third version of the Starship vehicle, which SpaceX plans to use for the first Starship orbital test flights.”

NASA managers are hedging their bets.

Blue Origin, owned by Amazon-founder Jeff Bezos, also is working on moon landers for NASA to carry both cargo and Artemis astronauts to the lunar surface. The spacecraft will be launched by the company’s New Glenn rocket. That lander, too, will require refueling in space.

If the Starship lander isn’t ready in time to meet NASA’s landing target, agency may be able to use Blue Origin’s lander instead.

Artist concept of a SpaceX Starship lunar lander on the surface of the moon. Image: SpaceX.

But during preparations to test fire the main engines of the third New Glenn rocket, the launcher exploded in a spectacular fireball, virtually vaporizing the rocket and seriously damaging its pad. The company hopes to resume test flights by year’s end, but few details have been provided.

In the meantime, NASA is pressing ahead with preparations for an interim Artemis flight next year in low-Earth orbit. Four astronauts will be launched in an Orion capsule to test the rendezvous and docking procedures that will be needed in lunar orbit for a moon landing mission.

The crew will dock with a Blue Origin lander, open hatches and float inside as part of the test flight. They then will rendezvous and dock with a Starship. But in that case, a modified production model will be used instead of an actual moon lander. It will have no crew accommodations and the astronauts will not go inside.

An artist’s concept of NASA’s Orion spacecraft docking in low Earth orbit with SpaceX’s Starship Version 3 rocket with a docking adaptor during the Artemis 3 mission. Rendering: SpaceX

Printing tiny photos for paper journals

I'm still writing my journals on paper. Makes it about a decade of notebooks, most of them Field Notes, kept in the archival wooden boxes[1]. Writing by hand helps me remember and process life. Finishing notebooks give me the feeling of closing a chapter on those problems, at least for a moment.

Paper notebooks are also a very flexible medium, as most teenagers can confirm: you can take train tickets and elmers-glue them in there to commemorate a trip, or make sketches to illustrate some anecdote. Want five different kinds of checkboxes, and lines connecting paragraphs? You can do it in a paper notebook, and probably not in Notion or other digital tools.

Collecting ephemera in notebooks has been really satisfying, so I've been experimenting with something new: a tiny printer. In particular, the Liene Pearl N200 Pro. Here's some of that experience.

Liene printer on a wood table

It's a little printer. Exactly the height of an iPhone 16, and about twice its thickness. The photos it prints are small - 2x3 inches. My beloved Field Notes notebooks are 3.5x5.5", so the photos fit really well: any wider and they'd creep too close to the binding of the notebook.

The Liene charges by USB-C and connects via Bluetooth. Virtually nothing that uses Bluetooth is reliable, and this is no exception.[2] Half the time it pairs immediately, the other half I have to restart it to connect both to my iPhone and to the app. And it's kind of odd that it doesn't support AirPrint, Apple's standardized way for printers to connect to iPhones. You have to use the app, which is fine to use if you ignore the goofy AI features. For Chinese-based consumer electronics like this, the hardware is usually a lot better than the software.

And the photos are stickers! So far I haven't printed something from this and not wanted the photo to be a sticker: wouldn't I want to stick it onto a postcard or in a notebook? The quality's totally fine but won't replace a desktop printer or a film photo.

It prints with dye-sublimation in a three-color CMY process: yellow, magenta, and cyan. You can see the photo at each stage, and then it does a final lamination pass. The image rendering is punchy - high-contrast and high-saturation.

Photo YellowPhoto MagentaPhoto Combined

Then the photos work nicely as full-width, or can be aligned vertically with a squeezed left column, like here:

Photo in notebook

The printer supposedly goes through a cartridge every 10 prints and eats special paper that costs 50 cents a print.

It's hard to say that this kind of thing is practical: is putting little photos in paper notebooks 'practical'? The whole exercise is sentimental and psychological. The prints are tiny and the printer takes a good 45 seconds to make them. They're kind of expensive. It usually requires a minute of futzing to connect.

But I've used snailjet for years - a service that lets you send a postcard with any photo, straight from your phone, for $1.41. Is surprising a friend with an old photo worth $1.41? Obviously.

Have I gotten some joy from buying a ~$110 printer to decorate my little paper notebooks? Definitely. Someday I'll read the notes that I'm writing this year and be nostalgic for this phase of life, and it'll be fun to see how I was doing.


  1. I bought my wooden boxes back when they were $35. I don't know if I'll keep buying them now that they're $50: ↩︎

  2. AirPods work flawlessly because they're cheating with a proprietary Apple-only protocol. ↩︎

Friday 24 July 1663

Up pretty early (though of late I have been faulty by an hour or two every morning of what I should do) and by water to the Temple, and there took leave of my cozen Roger Pepys, who goes out of town to-day. So to Westminster Hall, and there at Mrs. Michell’s shop sent for beer and sugar and drink, and made great cheer with it among her and Mrs. Howlett, her neighbour, and their daughters, especially Mrs. Howlett’s daughter, Betty, which is a pretty girl, and one I have long called wife, being, I formerly thought, like my own wife. After this good neighbourhood, which I do to give them occasion of speaking well and commending me in some company that now and then I know comes to their shop, I went to the Six clerks’ office, and there had a writ for Tom Trice, and paid 20s. for it to Wilkinson, and so up and down to many places, among others to the viall maker’s, and there saw the head, which now pleases me mightily, and so home, and being sent for presently to Mr. Bland’s, where Mr. Povy and Gauden and I were invited to dinner, which we had very finely and great plenty, but for drink, though many and good, I drank nothing but small beer and water, which I drank so much that I wish it may not do me hurt.

They had a kinswoman, they call daughter, in the house, a short, ugly, red-haired slut, that plays upon the virginalls, and sings, but after such a country manner I was weary of it, but yet could not but commend it. So by and by after dinner comes Monsr. Gotier, who is beginning to teach her, but, Lord! what a droll fellow it is to make her hold open her mouth, and telling this and that so drolly would make a man burst, but himself I perceive sings very well.

Anon we sat down again to a collacon of cheesecakes, tarts, custards, and such like, very handsome, and so up and away home, where I at the office a while, till disturbed by, Mr. Hill, of Cambridge, with whom I walked in the garden a while, and thence home and then in my dining room walked, talking of several matters of state till 11 at night, giving him a glass of wine.

I was not unwilling to hear him talk, though he is full of words, yet a man of large conversation, especially among the Presbyters and Independents; he tells me that certainly, let the Bishops alone, and they will ruin themselves, and he is confident that the King’s declaration about two years since will be the foundation of the settlement of the Church some time or other, for the King will find it hard to banish all those that will appear Nonconformists upon this Act that is coming out against them.

He being gone, I to bed.

Read the annotations

Recursive Trucker's Hitch

As if the americium smoke detector incident wasn't enough, now nuclear regulators have ANOTHER reason to worry about the Boy Scouts.

Collections: Pre-Modern Armies for Worldbuilders, Part IVb: Cohesion

This is the second half of the fourth part (I, IIa, IIb, III, IVa) of our honestly-who-knows-how-many part series laying out some general guidelines for how pre-modern armies are organized. Last week we took a look at how the leadership of these armies was drawn from the existing elite classes of their societies. As with other factors, armies cannot help but recreate their civilian social structures on the battlefield, with the result that the military leadership class often mirrored, where it wasn’t simply identical with, the civilian ruling class.

Now it will not surprise you that pre-modern military literature, written almost entirely by elites in the leadership class for other elites in the leadership class, is very interested in leadership and tends to attribute all military success or failure to the fellows in charge. Modern military science, however, has increasingly recognized the importance of combat motivation in individual rank-and-file soldiers.1

As noted last time, we can break this broader concept of combat motivation into two parts: morale and cohesion, where morale is the soldier’s attachment to the cause and belief in its possible achievement and cohesion is a soldier’s attachment to his fellows. What combat motivation studies have tended to show is that morale will get a soldier to the battlefield, but will not keep him on it; it is cohesion instead, the ability of a unit to stay together under pressure that is essential for enduring the terror of combat.

That said, different armies and different societies generate cohesion in different ways, as we’ll see. Now this is one component of this series that is a bit of an exception: so far I’ve been hammering that most societies are going to be pushed very strongly towards specific kinds of recruitment, organization and leadership as a result of their civilian organization. Meanwhile, as we’ll see, certain kinds of cohesion depend to a greater or lesser degree on specific social structures or assumptions, but it is a lot more common to see armies that simply have poor cohesion due to a mismatch of cohesive principles and military or social structures.

But first, as always, recruiting and maintaining large pre-modern armies is expensive! Much like many of those pre-modern armies, this project is supported by devolving the costs of my ruinous book-buying habit on to recruits readers. You can help by spreading the word to new readers and by supporting this project over at Patreon. If you want updates whenever a new post appears or want to hear my more bite-sized musings on history, security affairs and current events, you can follow me on Bluesky (@bretdevereaux.bsky.social). I am also active on Threads (bretdevereaux) and maintain a de minimis presence on Twitter (@bretdevereaux).

The Nature of Cohesion

We’ve talked about cohesion a few times here, so before getting into the systems that can generate cohesion, we can be fairly brief on what cohesion is. As the word implies, cohesion is the ability of a unit to hold together under pressure, but this is one of those concepts with a simple definition but more complex application.

On the one hand, cohesion is one of those ‘harder said than done’ principles. When a group of any animals is subjected to peril, the instinct is to flee and for humans, who are not herd animals, the instinct is to scatter, to flee individually. The goal of cohesion is instead to have individuals respond to peril by seeking the safety of the group rather than the safety of individual flight, so that intense fear causes the group to solidify rather than disperse. That is, as we’ll see, a challenging-but-not-impossible emotional response to stimulate, as humans are pack animals. That said, it has to be an emotional response, something sub-rational, because it needs to functions in conditions of intense fear where rational thinking is ineffective.

So you can think of cohesion, in its simplest form, as a kind of social or mental conditioning that aims to alter individual’s fear response from, ‘split up for safety’ to ‘group up for safety’ at an emotional, sub-rational level.

And then on the other hand, that has complex implications for battlefields in which humans generally fight as units rather than as individuals. Not all humans fight this way, I should note: warriors in a ‘first system’ ‘pounce-and-flee’ warfare systemas we see with hunter gatherers or early agriculturalists – often fight in a far more atomized, skirmishing style with no regular formations and no expectation that individuals will hold their ground or cohere under pressure. Instead, warriors in such a system can fall back and regroup relatively freely. But complex agrarian (even non-state complex agrarian) and pastoralist armies do fight as larger units, with complex group tactics that demand individual combatants work together and stick together much more tightly.

Meanwhile, if the unit remains cohesive – if the individual men remain bound together as a single mass – then their leaders can more readily maneuver the whole mass into action. After all, if the presence of peril is psychologically pushing each soldier to cohere for collective safety, then an officer can use that cohesion to push the group as a unit, potentially even moving it into greater peril. This is the foundation of all shock tactics – at least, all of them involving an even remotely equal opponent – because delivering ‘shock’ (that is, advancing into close combat in a group) demands advancing into peril, which is a think that is normally psychologically quite hard to do. As Ardant du Picq notes, “Man does not enter battle to fight, but for victory. He does everything that he can to avoid the first and obtain the second.” Getting fellows to walk into range of an opponent’s spears (potentially walking through the range of their slings, bows or muskets to do so) requires moving directly against human psychology. But if the whole mass of men coheres, the mass may be moved forward: group psychology succeeds where individual psychology would fail.

Of course cohesion is equally relevant – for the same reasons – for getting men to stand under fire, either in a tight formation or in more dispersed skirmish order (as in modern warfare). Once again, the normal human response to being in a ‘zone of danger’ is to leave it, so the cohesion response is required to get men to stay in the ‘zone of danger’ – the unit is in the zone, the men have cohered to the unit, so the men remain because the unit remains. Now, absolutely there are a small number of people in any group who have the right psychological mixture to do these things alone, but armies cannot be built out of a tiny handful of saints and sociopaths, they must be built out of regular men.

So cohesion serves several related purposes on the battlefield: it keeps men from fleeing but it is also the means by which they can be pushed into offensive action, which is to say it both keeps them from fleeing but also gets them fighting, all as a product of the action of holding them together. Even if a unit must withdraw, cohesion allows them to withdraw as a unit – maintaining fighting capability (which in turn deters an enemy from pursuing too aggressively) – rather than breaking apart into a rout (which an enemy can pursue aggressively).

So how does cohesion happen? High cohesion is most often the product of tight bonds between the men in a unit, though those bonds can be achieved in a range of ways. That said, as we’ll see, certain ways of producing cohesion can also produce a kind of corporate cohesion, where the cohesive principle ends up rooted in the identity of the soldiers (which they share), which creates a kind of cohesion that persists even when soldiers do not necessarily know their fellows (but when they do know that their fellows are also soldiers and so share the same formative, cohesion-building experiences; that’s why I frame it as ‘corporate’ in nature).

So cohesion is important, but it is also fundamentally unnatural: it must be produced somehow, it cannot be assumed. In practice there are two ways (or categories of ways) to produce cohesion: it can be produced in civilian society or it can be produced ‘in the ranks.’

Cohesion Dyed in the Wool

One way to achieve strong cohesion is to have it produced organically through civilian society. Tight social bonds are the key mechanism for producing this kind of cohesion: it derives from serving and fighting next to men who you know well in peace time and who will continue to know you well after the fight is done. The social pressure not to let these fellows down – fellows you will have to live with long after the smoke clears – is one of the few pressures that is as strong as the fear of dying. Or, as I sometimes put it, the one thing humans might fear more than death is shame. But for shame to work, it has to come from a peer group the individual will have to live with.

In practice, this kind of cohesion then tends to come one of two ways: from a small community or from a small, tight-knit group within the community.

The classic example of the former case are various forms of civic militias, like Greek hoplites. The hoplite phalanx of a Greek polis was generally divided into sub-units by tribe or neighborhood (phyle or deme) so that men served next to their friends, neighbors and family members in the phalanx as it was drawn up. Of course in some poleis, this sort of closeness was institutionalized through common dining groups, but it seems pretty likely that regular social dining with the men who would be near you in the phalanx was common across Greek poleis. Consequently, when a hoplite stood in the ranks, he knew he was being observed by everyone (at least, all of the men – though he could be assured his mother, wife and children would hear of his conduct too!) in the world who mattered to him.

Via Wikimedia Commons, an arming scene showing hoplites and a young man being armed as a hoplite (c. 530-510 BC). Although hoplites had little formal training or drill, they were often highly cohesive on the field because their cohesion was organic rather than trained.

The result is the creation of what is termed in military science a primary group: the small, face-to-face social group around a soldier, which tends to be tight and cohesive. Instead of generating that group ‘in the ranks’ – impossible for an amateur militia force that only formed up when there was a battle to fight – these sort of citizen militias instead form the primary group during peacetime and then use it as a basic building block in wartime to achieve that cohesion. As a result, a civic militia like a hoplite militia could be cohesive despite having little or no formal training or collective drill and relatively little in the way of command and control structures. Their cohesion was organic, derived from underlying social structures, rather than needing to be intentionally manufactured through training.

The alternative for ‘organic’ cohesion is the creation of a smaller unit of society that is similarly cohesive, often in the context of a much larger (and thus more anonymous) society which struggles with the kind of ‘small town’ cohesion of the Greek polis. This, of course, is generally the cohesion of a warrior class: the overall society may not be small enough for everyone to know everyone else well enough to generate that kind of tight social pressure, but the warrior-class might be. The aristocracy broadly construed, for instance, of even a large medieval European kingdom might consist of only around a thousand or so households. The kingdom might not be organically cohesive, but the aristocracy could be – though as we will see, knightly cohesion was reinforced through training and drill as well. One of the most striking examples of this kind of cohesion in action to me has always been the performance of the English huscarls at Hastings (1066): even as the rest of the army crumbled and the battle was lost, this group of vocational warriors held together, despite tremendous pressure.

Via Wikipedia, part of the Bayeux Tapestry (c. 1070s), showing the last stand of the English huscarls at the Battle of Hastings (1066). Even under tremendous pressure (arrow volleys and cavalry charges), the huscarls remained cohesive. The main levy force (the fyrd), however, did not, breaking up and leaving the huscarls isolated on the field where they were defeated.

Hopefully, you are also beginning to see how some of what we’ve laid out in these posts can ‘line up’ to produce strong military systems. A civic militia, for instance, can benefit greatly from these tight social bonds: in the ranks, everyone knows everyone else and the unit is led by elected officers who are the same men who lead the community in peacetime. The whole unit can thus draw on the familiarity and strong social bonds without needing to build those connections from scratch. The same, of course, goes for the retinue of a Big Man, whose retainers all know each other (and will continue to do so after the battle because they’re all socially connected) and who all know and already respect the authority of the Big Man who commands.

Now there is another requirement to making this kind of cohesion work effectively: there has to be important social value placed on military performance. For the militia man in a medieval schuttersgilde or a Greek hoplite or a knight riding out in his lord’s retinue, fighting bravely was crucial to their status in the community. Their friends, family and neighbors would be watching and would care if they stuck together or ran away. But for that to work there has to be some status for these men attached to the performance of military service.

A village can have very close-knit social bonds, but if the peasants living there don’t consider the role in society to be fighting, don’t value military service and don’t see themselves as personally involved in the wars of their rentier-elites, it will be almost impossible for those rentier-elites to actually harness the latent social cohesion of the village. Those villagers won’t hold together under pressure on the battlefield, they’ll scatter together – their social cohesion will be addressed in the ways they find socially valuable (like supporting each other with food during hard times). One common ‘failure state’ of military organization is where a political leader raises a population expecting to get organic cohesion but – because the society has not invested the social value in the fighting that those kinds of people do (so they may value knightly warfare but not the infantry warfare of peasants, for instance) – the cohesion simply isn’t there and the force collapses when put under strain. Levies drawn from the underclasses of a society – peasants swiftly formed into a local militia, for instance – often collapse this way under pressure, because the society at large (which is to say, the elites) have not dedicated the social value or resources to build organic cohesion.

In addition, this kind of organic social cohesion is very hard to ‘scale up’ since it relies on relatively small-scale tight-knit social bonds. One solution, however, was for large states to recruit the component units of their armies from specific locales, in what is termed a regimental system. Under a regimental system, soldiers do not move from one unit to another but rather are raised and spend their entire service career (which may be short-service or long-service) in a single unit. Often, when this system was combined with volunteer or short-service units (as in, for instance, the American Civil War or the British army in the First World War), units were intentionally raised from small geographic areas: individual states, cities, towns and so on. While the regimental system itself is a modern phenomenon, similar sorts of systems existed earlier; the Roman socii system seems to have functioned on a similar basis: Roman socii stayed in units recruited from their relatively small communities.

A larger army can thus try to harness some of that local cohesion by recruiting local units and keeping them intact, although this also creates organizational challenges: those soldiers are unlikely to be as willing to serve outside of their original units. They was told, you see, that they’d be serving with the 2nd Maine and the 2nd Maine only. That can cause issues if the original unit has been attritted so badly that it is no longer really functional (but cannot readily be merged with others), but also could create problems because it could also geographically concentrate casualties. The famous, grim example of this was the 11th Battalion of the East Lancashire Regiment (the Accrington Pals), all recruited from the same town, suffered 80% casualties in just thirty minutes of fighting at the Somme (Jul. 1, 1916), practically obliterating an entire generation of the town.2 The British abandoned the recruiting of ‘Pals Battalions’ after the Somme in no small part for that reason.

However, as you might be picking up, not every society generates strong enough organic cohesion to orient a military around (or the ‘warrior class’ that does is too small to form the bulk of the military). So then the question becomes how to create cohesion.

Training Cohesion

And it turns out it is possible to train cohesion into a unit.

What is striking is that historical societies talk about this process using a range of different understandings for how exactly they are inculcating bravery through training. Greek and Roman writers often frame this sort of training not necessarily as teaching soldiers specific, coordinated motions (the swinging of a sword, the throwing of a javelin), even though we know that the Romans, at least, did drill that sort of thing, but rather as rendering soldiers inured from hardship by putting them through hardship, by having them undertake strenuous duty regularly with strict punishments for failure (and generous rewards for success).

By contrast, early modern European drill, though it equally involved a lot of strenuous work, was understood more at the time as trying to produce a ‘mechanical soldier.’ The early modern European aristocrat largely concluded that the raw lower-class clay he was forced to work with for his army was temperamentally unsuited for bravery (these fellows were mostly stuck up snobs) and so could only be made brave by having the necessary actions for battle – loading and firing firearms, moving in formation – drilled over and over again until they became mechanical muscle memory. They use the same methods as the Romans – repetitive training of basic actions under as realistic circumstances as possible, with strict punishments for failures of discipline – but understood the mechanism of action to be quite different.

Now I want to be clear here what I mean when I say drill. Drill in this context is training through strenuous repetition of simple actions in preparation for combat. Not every army drills! There’s also a distinction here between armies that value “collective synchronized discipline” – the ability of soldiers to move together in synchronized action – and armies that don’t (you can use muskets in collective, synchronized musket lines but you can also use them independently in skirmish formations, for instance).3 It is likewise possible for armies to insist on physical conditioning in ways that do not produce group psychology effects, the difference between training together and training individually.

Via Wikipedia, an illustration of a Ming musket drill using volley fire techniques (1639). Drill and synchronized discipline were not purely a phenomenon of Europe or the broader Mediterranean, they appear in East Asia quite frequently as well. While it is easiest to illustrate this with musket drill (as above), synchronized discipline in China goes back at least to the Warring States period (475-221 BC) and in Japan we have plenty of evidence for synchronized discipline for infantry using various polearms before the large-scale introduction of firearms during the Sengoku period (1467-1600).

Now to be clear, obviously rigorously drilling soldiers in the manipulation of weapons is going to train what we can call ‘skill at arms’ – the effective manipulation of complex weapon systems – but we’re interested in the psychological conditioning here.

And the way modern thinking understands this same process is rather different than either ancient or early modern aristocratic thinking, in part because modern researchers and scholars have bothered to occasionally ask common soldiers about it. While the concept of unit cohesion has existed, I’d argue, since antiquity, it really only started receiving really systematic study after the Second World War, with the main conclusion of those early studies being that unit performance was heavily sensitive to the tight bonds in small units. Which is to say soldiers were motivated to fight for their ‘buddies’ at the squad, platoon and company level and that this social bonding effect was the primary source of unit cohesion.

The question, of course, was how a military went about manufacturing those sorts of social bonds so that units cohered under pressure. But of course the military wasn’t approaching these questions with a blank slate: in many ways the western military tradition (hardly alone) had already developed a system for manufacturing unit cohesion – what it was coming to realize is that it had never really understood how that mechanism functioned.

Instead, while the role of drill in training specific skills is important, it also imposed upon each batch of recruits intense conditions of shared suffering combined with creating a barrier to entry into the final group (one had to endure the initial drill and training process). In short, taking a bunch of potential soldiers and throwing them all into the same difficult situation (physical training and drill) they have to overcome together over an extended period of time (weeks or months, if not longer) is a way to ‘speed run’ the social bonding process to create a strong, cohesive unit.

One of the risks this approach is thought to run, however, is that rotation or high casualties can erode that cohesion. The soldier has cohered, after all, to a ‘primary group’ consisting of the men he trained or served long-term with, but that bond can be ruptured as members of the primary group are killed or rotated out of the unit (or the soldier is rotated into a new unit where they don’t know anyone). One of the responses to this reality is to avoid individual soldier rotations (such rotations in the Vietnam War were famously blamed for low morale and discipline) and instead rotate whole units, but of course there is nothing doing about casualties and the need to replace them.

The thing is, while certainly some units suffer reduced cohesion and thus reduced combat performance as they take casualties and – in the accidentally memorably bloodless phrasing of one of my graduate school colleagues – “the primary group disintegrates” that also quite clearly doesn’t happen to every military. It is a bit of a grim (and very modern) example, but the Wehrmacht (the German army) in WWII remained cohesive despite absolutely staggering casualties by war’s end and the effective impossibility of maintaining meaningful primary groups in the face of those losses.

In a similar vein, new assignments or distant posts often seem substantially less disruptive on cohesion in long-service professional forces. And indeed, mercenaries and long-service professionals can show remarkable cohesion under strain, even when the men in question haven’t necessarily been trained together. Xenophon’s Ten Thousand, recorded in his Anabasis, provide a notable example of this: the Ten Thousand were a mercenary force composed of men from ten different smaller mercenary units, scattered over the Greek world and in most cases we have to imagine the men who joined were not joining together with their neighbors but as deracinated mercenaries. Yet the Ten Thousand show extraordinarily strong cohesion under pressure, both in pitched battles but also under the steady strain of a long march under continuous threat.

That sort of ‘plug and play’ cohesion also shows up in long-service professional armies as well as other kinds of armies that have simply been in the field for a long time as the result of very long wars. One can see it, to take a modern example, quite clearly in the performance – in both victory and defeat – of British regular troops during the Anglo-Zulu War. At Isandhlwana (Jan 22, 1879), a British column was effectively annihilated when enveloped by a larger Zulu force but most of the regulars remained cohesive to the end even when it was clear the battle was lost. The same intense cohesion among the regulars enabled an unlikely victory the next day at Rorke’s Drift (Jan 22-3, 1879) when a badly outnumbered garrison post held off a large Zulu attack. Of course we should also note the remarkable cohesion of the Zulu (in their case a mix of organic cohesion and cohesion developed over frequent campaigns) in these battles, where they were able to persist on the attack despite shockingly heavy casualties.

Via Wikipedia, a 1880 painting by Alphonse de Neuville depicting (in somewhat dramatic form) the Battle of Rorke’s Drift (1879). As an aside, I generally stick to period artwork on the blog whenever I can, but of course we should be alert to the fact that even period artworks are not photographs. So the composition of this painting, clearly intended to highlight the heroism of the British is deliberate and in a way we might say ‘more real than real’ (for instance, it appears to combine several actions at once that happened over extended periods and exploits the use of foreground and background to render the Zulus into a dehumanized horde rather than more human opponents). We must read our images – even period images – just as critically as we read our texts and this is no less true for the above pictures of hoplites or the Bayeux Tapestry as it is for this modern painting.

What I think is going on here is that over time these fellows are being bound not only to a primary group, but also a corporate, professional identity, effectively a professional version of the corporate identity of the ‘warrior class’ discussed above. On the one hand, all of these ‘old soldiers’ still have shared experiences, because even though they were not drilled together, they were all drilled the same way and they all ‘know their business’ the same way. At the same time, they have a common connection to a shared identity nonetheless: they’re all soldiers, not merely by circumstance but by identity. Being a soldier is not something that has happened to them, but something that is part of them. And of course those elements – difficulty of entry, commonalities in experience in the group, a shared sense of belonging – are all elements that encourage group cohesion.

Now again, in both cases, the actual mechanism for producing this psychological and social bonding effect is drill and discipline, which of course also have other effects (as all training does) and are often done for those other purposes, developing cohesion as an accidental (but very necessary) byproduct.

Now as you might gather, the research on training and unit cohesion is, at this point, voluminous; this can only have been an overview. But I think, at least for thinking about worldbuilding (and also a general framework in which to understand the specialist literature), thinking in terms of two categories of ‘manufactured’ cohesion – primary group cohesion (a result of a group being trained together and undergoing hardship together) and corporate identity cohesion (a result of a shared sense of professional or corporate identity among a much larger group, married to shared experiences of training and hardship). However remember: your subjects may view the matter quite differently, understanding the improved combat performance to be the product of something other than the psychological conditioning that modern research focuses on.

Cohesion and its Absence

That leaves us with really four major avenues for a unit to develop effective cohesion: the organic cohesion of small communities (up to the level of a small town, but not generally much larger), the organic cohesion of selective groups (like warrior classes or specific guilds or social clubs) with in a larger, less cohesive society, manufactured primary group cohesion that results from training a unit together and having them endure hardship together and manufactured corporate identity cohesion, a result of a shared sense of identity among a larger group that have a sense of shared hardship.

Note, of course, that there’s no reason these mechanisms for cohesion cannot be combined. Roman citizen armies in the Middle Republic were recruiting with at least some substantial organic cohesion from the citizen class (and the socii in their even smaller, potentially more cohesive groups), which was then reinforced by strict discipline and the experience of military life, effectively layering small community cohesion on top of manufactured primary group cohesion. Likewise, a medieval knight (or other mounted warrior) is already coming with the organic cohesion of a warrior class, but knights also trained together extensively in small units (the conroi, a unit anywhere from a half-dozen to couple-dozen mounted warriors) and would fight in battle as part of that unit, layering that primary group cohesion over top that warrior class cohesion.

The thing is military units are not always cohesive. This is a bit of a difference from the previous sections in this series. Military units, after all, that exist presumably have to have been recruited, supplied, organized and paid somehow or they wouldn’t exist. But there’s no reason a society cannot form up an army or a unit within an army that simply never coheres will and as a result performs poorly on the battlefield. Indeed, we’ve discussed both fictional and real world examples of poor cohesion or combat motivation in the past.

Now the student of history generally comes at these questions knowing the outcome: we typically know that an army either collapsed under pressure or cohered under pressure and are seeking to understand why. Each society’s system for generating cohesion is going to differ in some respects – indeed, you may well have different cohesive principles at play in different parts of the same army for different units raised differently – but a basic sense of the varying ways that cohesion can be generated can help one begin to work out why this or that historical army might have performed well or poorly, creating hypotheses to then investigate more closely in the evidence.

For worldbuilders, the task is somewhat inverted because the armies are fictional and their battles yet unfought. So instead the task is thinking about the societies one has built and the ways they could generate cohesion and giving them military and social institutions to match. Or, crucially, giving them military performance to match. So if your story is meant to feature a fearless, highly effective sort of army, you probably ought to think at least a bit about why they cohere together so well (and not think about it in just bland ‘because they’re super soldiers’ way). Alternately, if you want a military to surprisingly underform, think about flaws or weaknesses in its cohesion – perhaps the a Big Evil who hasn’t given enough thought to psychology or has simply assumed that he can rely on organic cohesion without having done anything to foster it, for instance.

Perhaps most importantly, remember that cohesion is a properly of the regular soldiers of an army, rather than their leaders. Highly effective armies combine capable leadership with high degrees of cohesion. But cohesion can turn against leaders as well – after all, a unit that has strong group bonds will be cohesive when facing the enemy, but it will also be cohesive in a mutiny.4

We’ll probably have a shorter fireside post next week, but after that, we’ll close out this series looking at some real and fictional examples of how all of these elements – civilian society, recruitment, supplies, organization, cohesion, leader and so on – fit together to make coherent military systems (or in some fictional examples, incoherent ones).

Trump's hot floundering summer (with Paul Waldman)

Get more from Paul Waldman in the Substack app
Available for iOS and Android

Links 7/24/26

Links for you. Science:

This Is Why Our Fresh Produce Keeps Making Us Sick
An experimental oral vaccine may prevent invasive bacterial diarrhea
White House report says Trump can usher in a “new golden age” of science. The resulting report is a near-random mixture of grievances and real problems.
Multiorgan Outcomes Following BNT162b2 mRNA Vaccination vs SARS-CoV-2 Infection: A 30-Million-Person Real-World Cohort Analysis
Persistent, Multi-Species Outbreaks and Long-Range Transmissions of a Measles-Like Virus

Other:

Trump’s New Insult Won’t Save Republicans
Local U.S. TV News Will Soon Be Entirely Right Wing Propaganda
America First? Trump’s Foreign Income Exploded in 2025
House Prices Are Falling and We Haven’t Solved the Problem of Restrictive Zoning
Metro wants to install ‘platform doors’ to let people onto Red Line trains
Democrats expose Trump’s bigoted plot to erase history at Smithsonian
Oh, SNAP: How Program Cuts Are Impacting Food Access in the DMV
The Subprime Data Center Crisis
Suspicion and Doubt at the National Civics Contest
A Brutally Honest Field Guide to Horror Author Headshots
You Opened a Credit Card. ICE Now Knows Where You Live
Thanks to Trump, the world doesn’t want America anymore
As Parasite Spawned Chaos, Taylor Farms Slow-Walked Response
The 40-Year-Old Man-Child: Ferris Bueller’s Day Off has avoided a midlife crisis for good reason: It’s a timeless portrait of popularity and truthiness.
The Worst Part of the Cyclosporiasis Response
The deadly ICE shooting in Maine is a consequence of the agency’s shoddy hiring process
The See-No-Evil Supreme Court
An Endless Bounty
Acting 101
The Heritage Foundation Only Wanted to Protect Women’s Sports When It Was About Trans Athletes

Critical NASA Deep Space ground station in Spain evacuated due to wildfires

In a historic first, all six radio frequency antennas at the Madrid Deep Space Communication Complex – part of NASA’s Deep Space Network (DSN) – carried out a test to receive data from the agency’s Voyager 1 spacecraft at the same time on April 20, 2024. Known as “arraying,” combining the receiving power of several antennas allows the DSN to collect the very faint signals from faraway spacecraft. A five-antenna array is currently needed to downlink science data from the spacecraft’s Plasma Wave System (PWS) instrument. As Voyager gets further way, six antennas will be needed. Image: MDSCC/INTA, Francisco “Paco” Moreno

NASA evacuated its Madrid Deep Space Network ground station on Friday as wild fires near the Spanish capital city swept through the area. The agency said all personnel were safe and it had yet to survey the site for damage.

Photos posted on social media appeared to show smoke and flames in the vicinity of the tracking dishes. The Madrid location works in concert with ground stations at Goldstone, California, and Canberra, Australia to send commands to and receive data from spacecraft in deep space.

According to Canal 24 Horas, 90 workers at the site were evacuated and that government officials assured local media that “the impossible is being done” to safeguard the complex. The BBC reports that as of Friday, more than 25,000 people have been evacuated in Spain and more than 20,000 are in lockdown.

A NASA spokesperson confirmed the evacuation and noted that any damage that may have occurred as a result of the fire “will be assessed when it is safe to do so.”

“NASA’s SCaN (Space Communications and Navigation) Program is closely monitoring the wildfire activity in coordination with local authorities and the U.S. Embassy,” the spokesperson said. “In the meantime, the agency has seamlessly transitioned support for mission operations to the Goldstone Deep Space Communications Complex in California, ensuring continuity of service and uninterrupted support for spacecraft communications.”

Each of the three sites contains 230-foot (70 m) diameter antennas that weigh about 2,970 U.S. tons (2.7 million kg). The complex in Spain is about 37 miles (60 km) west of Madrid at Robledo de Chavela.

The Deep Space Network has faced challenges with capacity and recently one of its California-based antenna, Deep Space Station 14 (DSS-14) sustained damage due to over-rotation while tracking the Juno spacecraft on Sept. 16, 2025. That was classified as a Type A mishap “based on the total cost of damages,” which are estimated to be between $4.1 and $4.6 million the agency said in early June.

The Decision, the sequel

Imagine your career were coming to a close, how would you want it to end?  By earning an especially large sum of money?  Publishing a final wonderful paper?  With an amazing act of mentorship?

When it comes to Lebron, had he wanted to finish his career with the guys he enjoys playing with the most, he would have opted for Golden State (Steph and Draymond).

If he had wanted to choose his favored organization, he would have signed with Miami.

Furthering the NBA prospects of his son Bronny, and having more time with family, would have meant staying in Los Angeles.

The hometown, sentimental choice would have been Cleveland.

As it turned out, he wanted to maximize his chances of winning a title, and with a team that did not just win a title (which rules out OKC, NYC).  That meant signing with Philadelphia. Which is what he did.

What will your final major career decision look like?

The post The Decision, the sequel appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

Why AI Needs a “Genie Coefficient”

This essay was written with Barath Raghavan, and originally appeared in IEEE Spectrum.

Major benchmarks measure what AI can do. None measure whether it does what you mean: the distance between what you ask an AI to do and the unspoken assumptions about how you want the AI to do it. We propose a new metric: the Genie coefficient.

There’s often a gap between one person’s request and another’s understanding. Most of the time, we bridge it using general knowledge. For example, if you ask a friend to get you coffee, they’ll pour a cup from the pot or buy one from a coffee shop. They won’t bring you a bag of raw beans or snatch a cup from a stranger and hand it to you. You never specified any of this. You never had to.

One might think the fix is just to specify tasks, questions, and intent better. But in 1987, in their seminal book on AI, Terry Winograd and Fernando Flores succinctly captured why that won’t work: “Q: Is there any water in the refrigerator? A: Yes. Q: Where? I don’t see it. A: In the cells of the eggplant.” In human language, wants and desires are always underspecified. It is impossible to list all the caveats, all the limitations, all the exceptions.

So how does anyone communicate, if intent can’t be pinned down? Because a reasonable person can make a reasonable guess. Even though wants and desires are always underspecified, a competent person generally knows enough context to get it right or else knows to ask for clarification. Linguists call this pragmatics: Meaning lies in the words and the situation and also in all prior communication, shared culture, and innate human behavior.

It doesn’t always work out, of course. Your friend might bring you a hot coffee when you wanted an iced coffee, or an Italian coffee when you wanted a Turkish coffee. The more dissimilar the two people are in age, culture, and background, the more likely the request will be misunderstood in some way.

This situation has major implications for AI agents that are increasingly being given requests by humans and expected to fulfill them. They have enormous latitude to get it wrong. An AI agent asked for coffee might buy a coffee plantation or order a cup of coffee for delivery in three weeks. Its actions may be recognizable as “getting coffee,” but not remotely what you intended. They’ll think outside the box because they won’t have our conception of the box.

When AI Gets Proactive

For most of the last decade, when systems like Alexa or Siri misinterpreted a request, it was annoying, not dangerous. Beyond the AI model itself, what has changed is the harness: the ordinary code that wraps around an AI model, decides when and how to use the model, and controls access to tools like a browser, a low-level command line, or a financial API. Developments in harnesses have turned large-language models that just predict text into AI agents that take actions in the world, without necessarily checking back in before reaching the goal.

AI researcher Simon Willison spent two days with Anthropic’s Fable AI, and called it “relentlessly proactive.” For example, he asked it to track down a stray scroll bar in a web app. He came back to find it had opened browsers, written its own screenshot tooling, created its own page to re-create the bug, and stood up a local web server to collect measurements. It found the bug and, along the way, did many surprising things he never asked it to do. And we are seeing similar behavior with all recent AI models when combined with flexible harnesses.

This kind of behavior could easily go off the rails. Tell an AI agent to book you a flight and, finding the airline’s site says sold out, it might break into the booking database and force a reservation. Ask it to schedule a meeting and it might snoop your password to access your calendar. Tell it to save money on your phone plan and it might cancel the plan outright, or scam someone else into paying the bill.

Getting precisely what you asked for and bitterly regretting it is one of the oldest hazards from ancient folklore. King Midas asked Dionysus for the power to turn everything he touched into gold only to see his bread, wine, and daughter turn to gold. Tithonus, granted the immortality his lover asked for but not the eternal youth she forgot to request, withered into a husk. The sorcerer’s apprentice enchanted a broom to fill the cistern, and the broom relentlessly complied until it flooded the house. The Golem of Prague, shaped from clay to guard its community, guarded it past all reason until someone erased the word on its forehead.

The most classic of these is a genie, bound to obey and indifferent to whether the wish was wise or well-structured.

Genies are now an engineering problem. We are handing them the keys to our inboxes, bank accounts, code repositories, and physical infrastructure. And we have no agreed-upon ways to measure how genie-like any AI system actually is.

Measuring Genie Behavior

In economics, the Gini coefficient (developed by statistician Corrado Gini) is a measure of the gap between an actual distribution and a perfectly equal one; it’s useful for understanding income inequality and more. Our proposed Genie coefficient measures the gap between what a user asked an AI to do and what the AI actually did.

Sometimes the AI might do the wrong thing. Like Dionysus, it reads your request literally and returns you a mess you never intended: like a coffee plantation instead of a cup. Asked to deal with all the spam phone calls you’re getting, a Dionysus genie might contact your carrier and change your phone number. Asked to get a refund for a bad toaster, it might draft a legal threat on fake letterhead and send it to the retailer.

Other times the AI does exactly the right thing, trampling everything nearby to get there. Like a golem or the sorcerer’s broom, it books your flight by hacking the airline. Or consider a ticket sale for a popular concert, where the ticketing system puts buyers into a virtual waiting room and admits them a few at a time. Asked to buy a ticket, a golem genie might spin up cloud servers to pose as millions of buyers from different addresses, improving your odds of getting a ticket while crowding out other users.

The two are not opposites, and a single botched task can have both characteristics.

Genie behavior is not flat-out failure. If you ask the AI for Q3 numbers and get Q2’s, that’s not a genie. Nor is prompt injection: That’s someone tricking the AI into doing something it shouldn’t. Here, the user is trying to work with the AI, and the AI is trying to comply. It’s also not simply a measure of the AI’s success in fulfilling a task. It’s a recognition that how an AI interprets and achieves a goal is as important as whether it achieves a goal.

Genie behavior isn’t new. Researchers have spent years studying AI systems that “game” their objectives. Goodhart’s law says that when a measure becomes a target, it stops being a good measure, and it’s long been known that AIs sometimes achieve goals in ways we don’t expect due to reward hacking. Some AI models will accidentally learn that cheating is one way to “win.” More recently, researchers have developing benchmarks for reward hacking in coding agents and for unpredictable behavior in customer support agents, while AI labs conduct their own safety evaluations before model releases. One effort found that AIs under pressure use tools they were told not to use, and this was a case where the rules were made explicit. These are all disparate research directions; nothing yet ties them together.

This problem falls under the general theme of alignment, a topic that has occupied science fiction writers and AI researchers for decades. At one extreme, the “paper-clip maximizer” thought experiment postulates a superintelligent and powerful AI that is told to maximize paper-clip production and turns the world into paper clips, which is the ultimate golem genie. At a mundane level, AI researchers are working to better design reward functions to ensure that AIs behave well and don’t cheat in the lab. It’s the practical middle ground that remains unbenchmarked: the ordinary AI agent in use today that might take your request and satisfy it the wrong way. We are not at the stage where an AI can focus the world’s production on paper clips, but it might charge a million paper clips to your credit card or hack into a paper-clip company’s network.

Building a Genie Benchmark

The Genie coefficient is meant for AI agents operating in the real world. It measures their behavior as they perform real tasks long after the model is trained, not just during development. It also recognizes that genie-like behavior is a property of the harness-plus-model system, not the model alone. The harness determines what tools the agent can use, how much autonomy it has, and how proactive it is, and it’s a place we can make real interventions.

It rests on the same “reasonable person” standard that we use for people. Did the system do what a reasonable person would have taken the request to mean? Answering that requires human judgment.

If we get the measurement right, it enables things that aren’t possible today, like policies concerning AI behavior. In a courtroom, the concept of mens rea, what someone meant to do, is often as important as what they did. The Genie coefficient suggests an AI analogue, where a user is accountable for the plain intent of what they asked the AI. If an AI system betrays the reasonable meaning of an instruction, that’s the AI’s misbehavior, not the user’s.

We’ll need multiple benchmarks to measure the Genie coefficient, because genie-like behavior can be domain specific. An AI coding agent may need to be judged on how often it fakes the tests, or swallows errors, or colors outside the lines on its way to a solution. An AI legal agent will need to be judged on how often its output says what you asked but means something you’ll regret. And so on for medical, finance, and other domains of knowledge and expertise.

Genie benchmarks can be built inside out, each task seeded with a choice that might literally satisfy but that a reasonable person rejects, such as tempting misreadings or unsanctioned shortcuts. The traps in a Genie coefficient benchmark might turn on situational knowledge, the kind of context that a reasonable person would bring to the task. Another approach is to give the same request in several different contexts, each with a different reasonable course of action.

A Genie benchmark should be permissive and make it genuinely tempting for an AI agent to take unreasonable shortcuts, because it can only find genie behavior when it’s actually possible. Test the AI in a safe, walled-off copy of a real system, with real tools it can misuse and some tasks that can’t be done honestly at all. Make the temptation to cut corners real. Test a diverse array of skills, use cases, and tools, and give the AI system sparse, confusing, or overwhelming context. Include tasks that people have learned, through experience, require human oversight.

How the benchmark is scored matters just as much. Measure Dionysus and golem genies separately and together, based on their worst, not best, behavior. Run the same model inside harnesses that vary its freedom to act, revealing which limits actually keep it in line and should therefore be required in AI harness policies. Weight each failure by the harm it would cause, not just a simple count. And don’t measure genie behavior in isolation: A model could otherwise earn a perfect score by stalling, refusing, or drowning the user in clarifying questions without ever doing the job. The first versions of these benchmarks will be crude, but that’s how benchmarks always start.

We have built genies. We have handed them our data and credentials. We made them relentless, creative, and indifferent to the gap between what we tell them and what we mean. The least we can do, before they are booking our flights, running our infrastructure, and signing contracts unsupervised, is to measure how often they betray us.

Becoming Skilled at Making Documents

The vast majority of the documents people use to do business are really quite poor. Presentations that make your eyes glaze over, memos that are inscrutable or unclear, and all kinds of artifacts that say more about how they were created than whatever message they were ostensibly trying to communicate. It's been one of my great frustrations for years, and a big part of why I wrote Make Better Documents a while ago. That post captured a list of the suggestions I've been giving people for years on how to make better, more effective documents that can actually do work for you, instead of fighting at cross purposes to your larger goals.

To my great surprise, that list of suggestions on how to make better documents got a pretty huge response, and a lot of people told me they found it really helpful. So now, I've created a Better Documents skills.md file for people who use LLM tools like Claude to help assist them in creating business documents, to prompt their AI tools to make better documents by default.

If you're not familiar, agent skills are simple text files that describe new capabilities or processes that LLMs can take advantage of when carrying out tasks. (They're Markdown files — more proof of how Markdown is taking over the world!) The way this skill works is that it's distilled the broad principles I outlined in that post into a series of 5 tests, covering areas like whether you've properly considered your target audience, whether the overall structure is correct, if you've overdone things with your formatting, and if things are named clearly, and then either generates a new file that follows those rules, or reviews an existing document to make sure it is obeying best practices.

It's nothing too fancy, but I've been using it for a while, and shared it with a few friends, and people have told me they found it handy and it's improved some of their routine documents. I'm especially glad that people have found it useful even if they're the kind of folks who would never let an LLM generate a document on their behalf, but do think software tools are useful for things like spell check or grammar check. I see this as being a tool in that kind of category.

If you're familiar with skills, the install process is really simple and works just like any other skill. This skill is totally free and open source (if you have improvements, send along a pull request on GitHub, or if you're not a coder type, just email me or hit me up on social media and let me know what fixes/suggestions you've got), so there are no encumbrances or restrictions on its use. I am curious if it's useful to people, especially if you find it handy to use more broadly at a company, so don't be shy to get in touch if you find it valuable.

Here's to us all enduring fewer terrible presentations!

Friday assorted links

1. How global was “antiquity”?

2. Why the Clarity Act is mired in muck (NYT).

3. Jim Olds on the new science plan.

4. Cyber capabilities of Kimi 3?

5. “Following a standard workplace safety check, I have just received an email from a university administrator in which my custom of keeping books on the shelves in my office is described as “the unnecessary storing of combustible materials”.” Link here.

6. Are current science books for children demotivating?

7. Brazilian murder rate is down 40% from its 2017 peak.

8. Is the number of words we speak each day dropping by 300 each year?

The post Friday assorted links appeared first on Marginal REVOLUTION.

       

Comments

 

EU delays release of Copernicus imagery over Gulf of Oman

The Gulf of Oman, imaged in September 2018 by the Copernicus Sentinel-3A satellite. Credit: ESA; CC BY-SA 3.0 IGO

JOHANNESBURG — The European Union has ordered a 24-hour delay in the release of some Sentinel-1 and Sentinel-2 imagery following a request from the United States based on concerns that […]

The post EU delays release of Copernicus imagery over Gulf of Oman  appeared first on SpaceNews.

Air Force takes over troubled military GPS receiver program

The Air Force Life Cycle Management Center will oversee development, integration and sustainment of equipment used to access the military’s encrypted GPS signal

The post Air Force takes over troubled military GPS receiver program appeared first on SpaceNews.

Office of Space Commerce to move ahead on mission authorization

Jordan

The Commerce Department is moving ahead with plans to implement a voluntary mission authorization system for novel space activities that are not regulated by other agencies.

The post Office of Space Commerce to move ahead on mission authorization appeared first on SpaceNews.

Lightning strikes Long March 3B after liftoff, Kinetica-1 launches 5 satellites

HELSINKI — China conducted a pair of launches Thursday, including a Long March 3B rocket which delivered its payload to orbit despite a lightning strike. The Long March 3B rocket […]

The post Lightning strikes Long March 3B after liftoff, Kinetica-1 launches 5 satellites appeared first on SpaceNews.

Auction markets for compute capacity as a pathway to building AI

 Dr. Silvia Console Battilana who partnered with Paul Milgrom to found the auction consulting firm Auctionomics, writes about markets for compute capacity as an aid to developing AI.

The Missing Market We Need To Win The AI Race
By Silvia Console Battilana,Forbes Councils Member.
for Forbes Business Council COUNCIL POST | Membership (fee-based) 

"In 2025, the global artificial intelligence market was valued at nearly $300 billion. By 2034, it’s projected to grow to almost $2.5 trillion. Demand for AI services is soaring and AI providers are racing to keep up. Behind them, suppliers of “compute”—the chips and data centers that power AI—are scrambling to expand capacity.

"So, what can the compute market do to enable this growth?

 ...

"There’s another drag on AI growth, and it’s one that I’ve seen before in my work designing markets for radio spectrum, energy and other limited resources: inefficient use of existing capacity. I believe the key to unleashing AI’s potential is not just to build more, but to use what we already have more productively.​

...

"Speeding up our AI highways will require addressing problems with existing compute markets. And one of the primary issues is that we treat all demand for compute the same. Some large compute jobs, including training runs for new AI models, are like tractors that move slowly and take up multiple lanes. These jobs require large quantities of compute but can be completed anytime. They could run overnight without losing value. Real-time AI queries and time-sensitive regressions, on the other hand, are like race cars. Their value depends entirely on speed. If they’re late, they’re worthless.

...

"We can build more lanes on the highway, but in my experience, that tends to be more costly than adding traffic lights and congestion pricing. A well-designed market should create incentives to guide when different compute jobs run. Through real-time spot markets, urgent jobs could pay more for capacity exactly when they need it. Through forward-looking futures markets, large but flexible jobs could secure low prices in advance. "

Talk Therapy is Speech

IJ: On Wednesday, the United States District Court for the District of Columbia struck down a D.C. law that barred therapists from other jurisdictions from doing online teletherapy visits with clients in D.C. The decision comes nearly six years after Virginia-based counselor Elizabeth Brokamp teamed up with the Institute for Justice (IJ) to file a lawsuit arguing the law violated the First Amendment.

“This decision is a victory for anyone who speaks for a living,” said IJ Deputy Director of Litigation Robert McNamara. “Elizabeth’s victory here confirms that the First Amendment protects useful speech, including counseling, and that licensing boards can’t censor speech simply because someone doesn’t have their permission to talk.”

Congrats to the IJ! Now, we need to get rid of all the other bans on patients hiring physicians from other states. As I wrote last year:

During the pandemic, many restrictions on telemedicine were lifted, making it far easier for physicians to treat patients across state lines. That window has largely closed. Today, unless a doctor is separately licensed in a patient’s state—or the states have a formal agreement—remote care is often illegal. So if you live in Virginia and want a second opinion from a Mayo Clinic physician in Florida, you may have to fly to Florida, unless that Florida physician happens to hold a Virginia license.

The standard framing says this is a problem of physician licensing. That leads directly to calls for interstate compacts or federalizing medical licensure. Mutual recognition is good. Driver’s licenses are issued by states but are valid in every state. No one complains that Florida’s regime endangers Virginians. But mutual recognition or federal licensing is not the only solution nor the only way to think about this issue.

The real issue isn’t who licenses doctors. It’s that patients are forbidden from choosing a licensed doctor in another state. We can keep state-level licensing, but free the patient. Let any American consult any physician licensed in any state. That’s competitive federalism—no compacts, no federal agency, just patient choice.

Hat tip: Joel Selanikio.

The post Talk Therapy is Speech appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

European Fact of the Day, Again

This year, like last year, “the European Union will again make more money from fining US tech companies Than from the total tax income from Europe’s own public tech companies!”

The post European Fact of the Day, Again appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

Signal then storm

Abstract painting with red, white and blue rectangles divided by black lines.

Allan Basbaum has spent 50 years searching the nervous system for the places where pain begins – and where it can be stopped

- by Stephani Sutherland

Read on Aeon

July 23, 2026

I have been thinking lately about taxes and war and citizens and what the government should do for its people. In early March 1953, soon after Republican president Dwight D. Eisenhower took office, Soviet leader Josef Stalin died, giving the president a chance to reset the rising militarization of the United States. In mid-April, in a speech to newspaper editors that he insisted on delivering although he was suffering acutely from inflammatory bowel disease, Eisenhower warned of diverting the nation’s tax dollars to war at the expense of the people.

“Every gun that is made, every warship launched, every rocket fired signifies, in the final sense, a theft from those who hunger and are not fed, those who are cold and are not clothed,” he said. “This world in arms is not spending money alone.

“It is spending the sweat of its laborers, the genius of its scientists, the hopes of its children.

“The cost of one modern heavy bomber is this: a modern brick school in more than 30 cities. It is two electric power plants, each serving a town of 60,000 population. It is two fine, fully equipped hospitals. It is some 50 miles of concrete highway. We pay for a single fighter plane with a half million bushels of wheat. We pay for a single destroyer with new homes that could have housed more than 8,000 people.”

“This is not a way of life at all, in any true sense,” he said. “Under the cloud of threatening war, it is humanity hanging from a cross of iron.”

Eisenhower’s speech has been on my mind as the Trump administration slashes Medicaid, Supplemental Nutrition Assistance Program (SNAP) benefits, foreign aid, scientific and medical research, and the Centers for Disease Control and Prevention and yet is demanding more money for the Defense Department, bled out by Trump’s foreign adventures in Iraq, Nigeria, Somalia, Syria, Yemen, the Caribbean, Venezuela, and, of course, Iran.

Because Trump’s war on Iran has run through the already-expanded budget Congress provided, Defense Secretary Pete Hegseth was on Capitol Hill Tuesday asking Congress for an additional $67 billion to get the Defense Department through the end of September. But Senator Lisa Murkowski (R-AK) picked up on the possibility that the administration was trying to use the supplemental funding request as a backdoor way to get around the constitutional and legal requirement for Congress to approve military action in Iran.

Emine Yücel explained in Talking Points Memo that Murkowski referred to the 1999 opinion of the Justice Department’s Office of Legal Counsel under President Bill Clinton that “the supplemental appropriation itself—passed without any authorizing language—satisfied the War Powers Resolution requirement.” Murkowski asked if Trump was intending to invoke the same reasoning, claiming that congressional funding for the war would, by itself, “substitute for explicit congressional authorization.”

Hegseth said he would “defer to our legal department” on that issue.

If you’re having trouble figuring out the funding for the Iran War and funding for the military in general, you’re in good company. The administration has obfuscated that funding so thoroughly, as Representative Joe Morelle (D-NY), who is the top ranking Democrat on the House Appropriations Committee and a member of its defense subcommittee, told Hunter Walker of Talking Points Memo, that the administration hasn’t even told Congress where the money is going.

“We had Hegseth in front of the Appropriations Defense Subcommittee and he couldn’t give us an accounting and wouldn’t give us an accounting. They still haven’t given us an accounting,” Morelle told Walker. “It’s unfathomable.”

Morelle explained to Walker that the administration is turning to three separate buckets for war funding: standard congressional appropriations; budget reconciliation measures that don’t have to go through appropriations committees, can’t be filibustered ,and so can pass with simple majorities; and supplemental requests. “There’s no rhyme or reason to it,” Morelle said.

“The whole thing is alarming because, look…there’s finite resources. And the United States government needs to make decisions about where we’re gonna place our priorities, where we’re gonna invest our money,” Morelle explained. “If everything were just defense, we could argue about that number and that number alone, but every time you make a decision about increasing defense and security spending by $600 billion, which is a 60% increase virtually over last year, it means something else isn’t getting funded or alternatively, you’re borrowing more money.”

While Hegseth told Congress the war has cost $37.5 billion so far, Gordon Lubold, Mosheh Gains, and Courtney Kube of NBC News reported on July 14 that the internal Pentagon estimate of the cost is about $100 billion. Walker notes that when economists at Moody’s added higher gas prices to the cost of the war, they estimated that it has cost U.S. households about $1,100 each.

Yesterday Steve Rattner of MS NOW reported that “[u]nder Trump, the debt held by the federal government has surpassed 100% of GDP. By 2030, it’ll shoot past its all-time record from WWII.” Also yesterday, Megan Messerly of Politico reported that just over a third of MAGA voters think the Iran war has been worth the economic cost, down from about half of them in May.

A person close to the White House told Messerly that White House officials are “at a maximum level of frustration right now, and I was told by very senior people that the president is now fully aware that the only way to the victory that he wants is completely politically impossible. The American people just will not support the kind of escalation it would take at this point. We’ve got more dead Americans and a politically impossible situation.”

Although attacking civilian infrastructure for political purposes is a war crime, Trump and Secretary of State Marco Rubio appear to be threatening it. “From this point forward, any time the Islamic Republic of Iran shoots at a ship in the Strait of Hormuz, whether it be by Missile, Rocket, Drone, or any other device or weapon, the United States will bomb and destroy ONE BRIDGE OR POWER PLANT, including those located next to, or in, the Capital City of Tehran,” Trump posted on social media yesterday morning.

Today Rubio said Iranian policy is “an eye for an eye” and added: “The president’s policy is a head for an eye. I mean, honestly, that’s what it’s going to be. I mean, they will pay a very heavy price for the things they do.”

The price of oil surged by 7% to more than $100 a barrel for Brent crude today after Iran-backed Houthi rebels in Yemen claimed to have attacked two Saudi Arabian oil tankers in the Red Sea. This raises concerns about the potential closure of the Bab el-Mandeb strait between the Red Sea and the Indian Ocean, through which about 12% to 15% of the world’s maritime trade passes every year.

The average price of gasoline in the United States rose to $4.09 a gallon today.

After twelve days of escalating strikes between the U.S. and Iran, the strikes against ships in the Red Sea are a new development in the war. This morning, Trump warned on social media that the U.S. would consider the Houthis’ “interference with commerce and trade, by shooting at ships,” as the responsibility of Iran. In response, he said, “major military punishment will be inflicted upon Iran.”

Yesterday Shelby Holliday, Lara Seligman, and Stephen Kalin of the Wall Street Journal reported that the U.S. has been surging troops, weaponry, and medics to the Middle East. These new forces add to the tens of thousands of troops already there. The U.S. Navy also has 17 ships in the region, including two aircraft-carrier strike groups, with eleven destroyers and a Marine Corps expeditionary unit. Retired general Joseph Votel, former commander of Central Command and of U.S. Special Operations Command, told the reporters the surge doesn’t necessarily mean the launch of new operations. They are designed to give the president and the Secretary of Defense options.

Barak Ravid of Axios, who often has inside information from the White House, reported today that Trump is “close to making a decision” about a “massive attack” on Iran. Ravid reported that Trump says the Iranians “want to negotiate” but “haven’t received enough pain yet.”

Today the House of Representatives passed a concurrent resolution to end the war in Iran by a vote of 214 to 208. Four Republicans—Thomas Massie of Kentucky, Brian Fitzpatrick of Pennsylvania, Warren Davidson of Ohio, and Tom Barrett of Michigan—joined the Democrats.

A concurrent resolution expresses the sentiments of Congress. It is not a law and does not require a signature from the president.

Concurrent resolutions are often used for congressional business like setting the time of adjournment. House members have turned to them to oppose the Iran War because concurrent resolutions are “privileged” in the House, which means they can bypass standard scheduling requirements.

Representative Jason Crow (D-CO), a former paratrooper and Army Ranger who serves on the House Permanent Select Committee on Intelligence and House Armed Services Committee, told his colleagues that while Iran poses a threat to the U.S., so do North Korea and Russia, and there has been no move automatically to go to war with them.

The impulse to resort to war as the only answer to threats led to “twenty-plus years”of war in Iraq and Afghanistan, “trillions of dollars, and thousands of American lives lost for wars that ended poorly,” Crow said. “Americans are done with an endless cycle of conflict in the Middle East. When I was in Afghanistan, our adversaries, the enemies that we fought, would often say, ‘Americans have all the clocks, but we have all the time.’ They simply want to wait us out, knowing that we’ll just spend more money, have more combat deployments, and will just continue to do it, year after year, until we wear out.”

Crow said he could not answer his “constituents who are losing homes, losing their farms, losing their health care, who can’t answer the simple question: How is this making me safer? How is this improving my life?”

Later in the day, the Senate took up a measure backed by Senator Chris Van Hollen (D-MD) to force the president to end the U.S. hostilities with Iran. That measure was different from the concurrent resolution in the House. It was a “joint resolution,” which is a law and which does go to the president for a signature. A joint resolution is usually used for something urgent and straightforward, like a declaration of war.

Senators have turned to joint resolutions to oppose the Iran War because joint resolutions are privileged in the Senate, although generally not in the House.

The Senate declined to advance Van Hollen’s S.J. Res. 180 [or Senate Joint Resolution 180] by a vote of 47 to 49. Four Republican senators did not vote.

Notes:

https://talkingpointsmemo.com/news/hegseth-sidesteps-murkowski-question-about-backdoor-war-authorization

https://www.nbcnews.com/business/markets/oil-prices-rise-red-sea-attacks-houthis-saudi-trump-iran-war-rcna588851

https://www.cnbc.com/2026/07/22/stock-market-today-live-updates.html

https://www.wsj.com/world/middle-east/u-s-surges-forces-toward-middle-east-giving-trump-options-to-expand-iran-war-e5d627b1?mod=hp_trendingnow_article_pos1

https://www.axios.com/2026/07/23/trump-axios-iran-interview

https://www.nbcnews.com/politics/national-security/iran-war-cost-much-100-billion-rcna587362

https://talkingpointsmemo.com/news/a-key-house-dem-breaks-down-the-white-houses-unfathomable-iran-war-funding-requests

https://www.politico.com/news/2026/07/22/poll-maga-souring-iran-war-costs-trump-01006976

https://www.presidency.ucsb.edu/documents/address-the-chance-for-peace-delivered-before-the-american-society-newspaper-editors

https://www.cfr.org/articles/guide-trumps-second-term-military-strikes-and-actions

https://rollcall.com/2026/07/23/23warpowersvote/

Trumpstruth:

statuses/40212

statuses/40219

Bluesky:

steverattner.bsky.social/post/3mralqegli226

jbendery.bsky.social/post/3mrd2bed3kc2e

atrupar.com/post/3mrcyimduxc2m

YouTube:

app=desktop&v=aIAsnWFCCyA

Share

Politics Chat, July 23, 2026

Governor Wes Moore | American Conversations

We asked too much of the American university

Photo by Ajay Suresh via Wikimedia Commons

The story of the rise and possible impending fall of the American university system is, in many ways, the story of modern America. It ties together the changes in our culture, our economy, and our politics since the mid-20th century. Understanding why universities came to be our most important and most functional institution, and why that model is now under threat, can help us understand how our country might look different going forward.

Let me try to tell a condensed version of that story.

The United States used to have a bunch of institutions that bound us together and forged us into a unified society. Many American communities were centered around churches; these facilitated networking, helped people find spouses, provided community services like day care and mutual aid, and homogenized values and culture at the local level. During the World Wars (and to a lesser extent, the Vietnam War), the military was very large and threw together Americans from various social classes. In the early postwar decades, corporations were also a unifying institution. Mass media provided us with shared cultural context. Even public transit put people of various backgrounds in close social contact on a daily basis.

In the half-century from around 1970 to 2020, those unifying institutions became much weaker. Church attendance slowly declined and then fell off a cliff in the 2010s. The military shrank into a small, professionalized volunteer force. Corporations ended their brief flirtation with lifetime employment, and outsourced many of their roles. Mass media fragmented in the age of the internet. Public transit dwindled in importance as Americans moved to the suburbs and drove.

As the country’s unifying institutions withered, one new institution attempted to step into the void: the American university. Universities were not new in the late 20th century, of course, but mass attendance certainly was. From 1970 to 2020, the share of Americans age 25-29 with a bachelor’s degree went from 16.4% to 39.6%. Around two out of three have completed some college.

College went from something that only the upper crust did, to something that most people were expected to do if they wanted to be economically successful in life. This expansion inadvertently but inevitably thrust a new role on American universities — that of a broad socially unifying institution. College was where people from a variety of backgrounds mingled and mixed — not just in classes, but in dorms, campus activities, and college towns.

College became the new church, the new military, and the neighborhood bowling alley all rolled into one. Instead of preachers homogenizing Americans’ values from the pulpit, university administrators taught college kids to value things like diversity, consent, and so on, and college students hashed out their own differences in millions of late-night dorm room discussions. Instead of meeting their first love in high school, Americans increasingly delayed sex until college; many of these relationships turned into marriages. Young people went into college as children and came out adults.

This was a heavy burden to bear for an institution that hadn’t been designed for it. But American universities were accustomed to taking on big new duties. Our universities began as essentially a copy of the British model — teaching-focused institutions designed to provide broad education and mentorship to the upper class. In the early 20th century they tacked on the German model — a research-focused lab apprenticeship system by which top scientists taught other top scientists and readied them for research jobs while also producing cutting-edge basic research.

This dual system enabled a remarkable form of cross-subsidization. Undergrad tuition payments — and state support for undergrad education, and undergrad alumni gifts — created a flood of money that paid for grad student stipends, lab facilities, professor salaries, and more. The federal government and companies also funded university research, of course, through grants and sponsorships. But undergrad money was a huge tailwind. And the prestige generated by successful and famous researchers helped universities charge undergrads more.

The hybrid of the old British and German models was naturally symbiotic, and it meant that even as America’s other institutions came under pressure, universities thrived and grew — especially once they used their prestige to attract high-paying and highly skilled foreign students from around the globe. Universities became the lynchpin of America’s research effort:

American universities had a lock on both the nation’s research output and on its production of human capital, and those roles were mutually reinforcing.

I suspect that their success at handling education and research at the same time probably gave American universities a lot of confidence about their ability to handle society and culture as well. Colleges spent more and more on dorms and “student services” and hired administrators (many of whom dealt with undergrad life) at an astonishing rate.1

But replacing churches, the military, and the neighborhood bowling alley proved harder than replacing the corporate lab had been. There was just one basic problem with college as America’s primary unifying institution, which is that not everyone can go to college.

First of all, college is difficult. To complete college courses, you need some degree of raw intelligence, but you also need work ethic and a certain degree of independence. As much as we might like to believe otherwise, not everyone in America has those traits, and we don’t yet know how to instill them in everyone. As a result, there’s a limit to how much you can expand college enrollment — and college completion — without loosening standards.

In fact, loosening standards is exactly what American colleges have done. Universities have necessarily become less and less selective over the years, as they have taken in a larger and larger fraction of the young American population. For a while, this led to lower college completion rates, but in the 1990s, more and more students began finishing their bachelors’ degrees. Why? Because colleges implemented grade inflation, making it easier to finish school without learning the material well. Here’s Denning et al. (2021):

We find that most of the increase in graduation rates can be explained by grade inflation, and that other factors such as changing student characteristics and institutional resources play little or no role. This is because GPA strongly predicts graduation and that GPAs have been rising since the 1990s. This finding holds in national survey data and in records from 9 large public universities. We also find that at a public liberal arts college, grades increased holding performance on identical exams fixed.

At some point, though, this process hits a wall. A large fraction of young Americans just isn’t prepared for college, even with grade inflation, and doesn’t end up going. College enrollment by recent high school graduates plateaued in the early 2000s and actually fell back to early 1990s levels during and after the pandemic:

Source: NCES via GPT

Read more

The optimal Bayesian update?

I see at least three updates one might make from the recent OAI/Hugging Face hacking incident:

1. “This happened sooner than I expected, and the story is more dramatic than I expected,” therefore I am more worried than before.

2. “This happened, and the inferior Chinese cyber-defense seems to have performed just fine,” therefore I am less worried than before.

3. “This happened, and as far as we can tell, absolutely no one was harmed,” therefore I am less worried than before.

Obviously the net impact, from those bare hypotheses, is indeterminate.  And yet few people seem to be paying much heed to #2 or #3.  Joshua Saxe from the cyber world has some relevant observations.  And perhaps other updates are needed as well.

The post The optimal Bayesian update? appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 


Central North Pacific 2-Day Graphical Outlook Image
Central North Pacific 7-Day Graphical Outlook Image





What I’ve been reading

1. Christopher Priest and Nina Allan, The Illuminated Man: Life, Death and the Worlds of J.G. Ballard.  Priest died before he finished this book, and his widow added material, including on Priest himself.  This is in any case a good overview and introduction to the strange worlds of Ballard.  There is only a UK edition so far.

2. Christian Kracht, Eurotrash, A Novel.  I was put off by the title, but it turns out this is a fun and high-level short Swiss novel about driving around Switzerland with your semi-crazy eighty-year-old mother on a road trip.  It helps to have some knowledge of both Switzerland and broader German-language literature.

3. Walter Kempowski, Alles Umsonst.  From 2006, could this be the best German-language novel since Sebald?  It is about the pending doom from the Russian army approaching on East Prussia in 1945, and how the different characters deal with that, set on a German estate.  Applicable to many other real world situations as well.  There is an English-language translation, I am not sure how good it is.  In any case an important and very good work of fiction.

4. Lars Behrisch, Democracy’s Double Helix: Participation, Equality and Revolution in Early Modern Europe.  A good book about how the roots of semi-democratic decision-making are found in 16th century Europe, and stemmed from new needs to assemble various military and fiscal coalitions.  Looks at the problem more broadly, in geographic terms, than most comparable studies.

5. Katie Kitamura, Audition.  A fun short novel, full of mystery and suspense, good for those who like puzzles in their writing.

The post What I’ve been reading appeared first on Marginal REVOLUTION.

       

Comments

Related Stories

 

A Million-Panel Project

June 16, 2024
June 6, 2026
A dry, tan-colored valley containing a few circular irrigated fields runs roughly north-south through the image.
A dry, tan-colored valley containing a few circular irrigated fields runs roughly north-south through the image.
NASA Earth Observatory / Lauren Dauphin
Grid-like arrays of solar panels cover parts of a valley floor in a brown, dry-looking area of Utah.
Grid-like arrays of solar panels cover parts of a valley floor in a brown, dry-looking area of Utah.
NASA Earth Observatory / Lauren Dauphin
A dry, tan-colored valley containing a few circular irrigated fields runs roughly north-south through the image.
A dry, tan-colored valley containing a few circular irrigated fields runs roughly north-south through the image.
NASA Earth Observatory / Lauren Dauphin
Grid-like arrays of solar panels cover parts of a valley floor in a brown, dry-looking area of Utah.
Grid-like arrays of solar panels cover parts of a valley floor in a brown, dry-looking area of Utah.
NASA Earth Observatory / Lauren Dauphin
June 16, 2024
June 6, 2026
The nearly one million photovoltaic panels of a solar energy and battery storage facility in Utah appear in the right image, acquired with the OLI (Operational Land Imager) on Landsat 8 on June 6, 2026. The same sensor captured the left image on June 16, 2024. NASA Earth Observatory images by Lauren Dauphin.

Historically, central Utah’s Castle Valley has been a coal hub, with mining operations on the slopes of the Wasatch Plateau to the west active since the late 1800s. A different energy development arrived in the region in June 2026, when a large solar power and battery storage plant came online in the sunny valley about 130 miles (210 kilometers) southeast of Salt Lake City.

The recently constructed Green River Energy Center, seen in the Landsat 8 image above (right), features nearly one million solar panels and roughly 500 batteries on several square miles of previously undeveloped land. The facility has 400 megawatts of solar-generating capacity with another 400 megawatts of battery storage. That places it among the many utility-scale solar power and battery storage projects that the U.S. Energy Information Administration expects to be plugged into the country’s grid in 2026.

The Utah facility is slated to supply power to Salt Lake City and other areas across the state, according to news reports, and project staff estimate it could produce enough electricity for more than 100,000 homes. With its integrated battery storage, the plant has the potential to generate power at all hours, even when the Sun isn’t shining. And the Green River Energy Center can build on Castle Valley’s energy legacy by utilizing existing transmission lines originally built for coal-fired power plants in the area.

Though Utah adopted coal as its state rock and has long relied on it for energy, other sources, such as solar and geothermal, are becoming larger parts of the state’s energy mix. In 2025, coal fueled about half of the state’s electricity generation, down from about 75 percent in 2015. Meanwhile, solar grew to account for about 14 percent of generation in 2025, up from nearly zero a decade before. Satellite data can be useful to planners and policymakers involved in energy transitions for assessing the potential of renewable energy systems and tracking their adoption and performance.

NASA Earth Observatory images by Lauren Dauphin, using Landsat data from the U.S. Geological Survey. Story by Lindsey Doermann.

References & Resources

You may also be interested in:

Stay up-to-date with the latest content from NASA as we explore the universe and discover more about our home planet.

Picturing Earth in a New Light
3 min read

A recent analysis revealed where artificial light at night has intensified, as well as where it has diminished.

Article
Ahuachapán and Its Restive Neighbors
3 min read

From a geothermal hotspot to the one-time “Lighthouse of the Pacific,” the heat is on beneath the volcanic landscape of…

Article
A Moonlit Earth as Seen From Artemis II
4 min read

An astronaut’s photo, taken en route to the Moon, reveals our planet and its place in space in a novel…

Article

The post A Million-Panel Project appeared first on NASA Science.


Eastern North Pacific 2-Day Graphical Outlook Image
Eastern North Pacific 7-Day Graphical Outlook Image






Atlantic 2-Day Graphical Outlook Image
Atlantic 7-Day Graphical Outlook Image






Heat Across the Center of the Nation; Severe Thunderstorms Across the Great Lakes and Ohio Valley