Brian Tyler Cohen | American Conversations
Saw this article, and immediately felt like punching a wall …
It’s the type of thing that begins small. A headline. Two headlines. Some TikTok videos.
Then it grows.
And GROWS.
AND GROWS.
And, before you know it, Trump and Co. are all over it. See! We told you! The Democrats are cheating! Look at New Jersey! Look what’s happening! It’s in the news! We told you people! We told you!
This, I assure you, will begin ASAP.
Inevitably, the Dems will cower into a corner, cough, point, stutter. When, truth be told, they should do now what they should’ve been doing all the fucking fuck along. Which is (I’ll begin the all caps here, good people) SCREAM AND SHOUT ABOUT THE JAN. 6 INSURRECTION, AND REMIND PEOPLE EVERY FUCKING DAY THAT THE ASSHOLE BELLOWING ‘FRAUD! FRAUD!’ SENT HIS MINIONS INTO THE CAPITOL, WATCHED THEM TEAR IT APART, FAILED TO LIFT A FINGER–THEN PARDONED EVERY SINGLE PARTICIPANT, EVEN THE ONES WHO BATTERED LAW ENFORCEMENT!
Seriously, this is the video. And it needs to be played on repeat …
Alas, Chuck Schumer will probably head up to the New York State Fair to rave about the yogurt.
Because, hey.
What’s democracy without dairy?
Received some excited messages the other day, asking whether I’d seen “The Butch Twining Video.”
“Nope,” I replied. I had not.
Here it is …
And I get it. I do. Twining is a member of the Huntington Beach City Council. He’s one of the MAGA bros who is all in on Donald Trump and Charlie Kirk and porn in schools and book bans and the plaque and the statue and he’s rude and crass and dumb and, yes, he vapes at age, like, 70. Which, unless you’re Billy Joel, is super weird and legitimately perplexing.
However …
What does this sneeze in time—captured on video for the world to behold—do for Democrats trying to win a seat or two on the City Council in a very conservative metropolis? Does it make our party appear dignified? No. Mature? No. Reasoned? No. We look (and I hate to say this) sort of unhinged and rabid, and the post-exchange jubilation over getting Twining’s goat is less win, more ode to the gotcha! landscape we now occupy. People who abhor Twining will love it. People who support Twining will see it as libs being libs. And it’s all on video—the 2026 universal medium of choice.
Again, I do get it. Hell, I love the spiritual release of making fun of MAGA buffoons. But the goal here is to flip the city council, and to do so means convincing on-the-fence folks better people than Butch Twining walk the earth.
Also, not for nothing, there are productive ways to get a goat, and nonproductive ways to get a goat. Had the man outside the vehicle said, “Hey, Butch, I think building a Trump statue is crazy …” and then Twining fires off, “Fuck you!” … that’s a solid win. It’s an irrationally crude reply to a fair observation stated by a constituent.
But if someone ran up to my car and cracked that vaping line, I’d probably tell him to fuck off, too.
Maybe I’m growing soft, but it’s just not for me.
The front page of yesterday’s New York Times featured some of the 440,000 Americans from Arizona alone who have lost Supplemental Nutrition Assistance Program (SNAP) benefits since the Republicans’ One Big Beautiful Bill Act made the deepest cuts to SNAP in its history, expanded work rules, and shifted costs to the states even as cuts to federal grant programs have forced Arizona to lay off a third of its caseworkers.
Those Arizona residents include Dee McDonald, a 65-year-old cancer survivor who weighs 69 pounds and skips meals to feed her three teenaged grandsons.
SNAP falls under the Department of Agriculture, and Agriculture Secretary Brooke Rollins celebrates the cuts, claiming the program is rife with fraud. Like other Republicans, she cites error rates. But error rates usually reflect mistakes in classification numbers by caseworkers, not fraudulent use of services.
Today Secretary of Health and Human Services Robert F. Kennedy Jr. told reporters the federal government is withholding more than a billion dollars in Medicaid funding from California and Minnesota, saying they want to see proof that payments there aren’t fraudulent. Sarah Kliff of the New York Times notes that the administration was already withholding money from those two Democratic states. It has withheld $1.3 billion from California since May and $243 million from Minnesota since February. Now Kennedy says it will withhold more than $867 million from California and more than $200 million from Minnesota.
In the Denver Post today, Executive Director of the Association of National Park Rangers Bill Wade wrote that during his years as the son of a park ranger, and then as a park ranger himself, “I learned that these extraordinary parks belong to every American and that the people entrusted to care for them carry a sacred responsibility to protect our country’s breathtaking natural resources and key elements of our nation’s history.”
“But never—not once in decades—have I witnessed such systematic degradation, disrespect and dismantling of the National Park Service as I see today under the thumb of the President Donald Trump and Interior Secretary Doug Burgum,” Wade continued. Budgets go up and down and policies change as administrations turn over, but “what is happening now is an assault on the people, the mission and the values that have made the National Park Service one of America’s most valued institutions.”
The Trump administration has slashed staff, starved the service of funds, and imposed a political narrative on historical interpretation. “Recovery from these losses is likely to take years, if not decades,” Wade wrote.
At the same time that the federal government is cutting programs that benefit the public, it is also privatizing systems that the government has been managing. Yesterday Justin Doubleday of the Federal News Network reported that Des Moines International Airport and Tampa International Airport have opted into the Transportation Security Administration’s (TSA) new privatization model for airport screening.
Congress created the TSA after the September 11, 2001, terrorist attacks. Before then, individual airlines contracted with private security firms to screen passengers and baggage, but the 9/11 attacks showed that this private system had dangerous vulnerabilities. Now the Trump administration is resurrecting that system.
While administration officials are slashing government programs that protect ordinary Americans, Secretary of Defense Pete Hegseth and Chairman of the Joint Chiefs of Staff General Dan Caine appeared on Capitol Hill today before the Senate Appropriations Committee to explain why the Pentagon is urgently in need of an injection of $67 billion to tide it over until the end of the fiscal year on September 30. The Pentagon has sunk billions into the war in Iran. Hegseth told senators the war had cost $37.5 billion, but independent analysts estimate the true number is significantly higher.
Two congressional aides told Noah Robertson, Riley Beggin, and Jarrell Dillard of the Washington Post that both the Navy and the Air Force will run out of money provided for ongoing military operations in 2026 at the end of this month. The Pentagon is already moving money around to bridge the gap, diverting money budgeted for equipment and maintenance and limiting or canceling military exercises and training.
Yesterday Rose L. Thayer of Stars and Stripes reported on one such diversion: The Army is reducing the legal resources available to soldiers being evaluated for disability “as review boards determine whether they are fit to serve or should receive medical retirement benefits.” In the past, the Office of Soldiers’ Counsel has provided those services, but dramatic cuts have left personnel available only for an initial evaluation, rather than throughout the three-stage process. After the initial evaluation, soldiers must either represent themselves or hire private attorneys.
At today’s hearing, Senator Jon Ossoff (D-GA) grilled Hegseth. “Mr. Secretary, early in the conflict, day three, you said one of those core objectives was to, quote, destroy the missile threat, and as you restated it on day five to, quote, obliterate Iran’s missiles and drones. Those were clearly and repeatedly stated core objectives of the campaign, which four months ago you declared had been completed victoriously with every single objective achieved. Were those objectives achieved four months ago?”
Hegseth answered: “No one ever stated that every single missile was gone. Ultimately, combat ineffective means they’re not able to dig them out of their UGFs [underground facilities] and shoot at us.”
Ossoff: “Had the missile threat been defeated four months ago?”
Hegseth continued over Ossoff: “It doesn’t mean they don’t have underground facilities where they put missiles in them and hold onto them because they’re the world’s largest state sponsor of terrorism. So we never expected they would stop having capabilities to shoot. The question is, at scale, against an opponent like the United States of America, which went toe to toe with them in Iran, couldn’t….”
Ossoff continued: “You stated on March 8th, day nine of the war, on 60 Minutes, you assured the American people of Iranian surrender. Does that remain your prediction?”
Hegseth: “Ultimately, Iran will never have a nuclear weapon to threaten the United States of America. That has been the objective, and it remains so.”
Ossoff: “So, just to review, you will not answer whether your statement made on the fourteenth day of the war that Iran’s military had been, quote, destroyed and made combat ineffective was a truthful statement to the American people, as you sit here and ask for tens of billions more for the conflict.”
The second Trump administration is forcing the American people to define how they think the United States government should spend their tax dollars.
Today Senator Andy Kim (D-NJ) introduced a proposal to expand Medicaid to all American children from birth to age 26. Kim noted that about 4.4 million children in the U.S. don’t have health insurance and 23 million are underinsured. The One Big Beautiful Bill Act will make things worse.
Joseph Choi of The Hill reported that Democratic senators Alex Padilla of California, Cory Booker of New Jersey, and Tammy Duckworth of Illinois are co-sponsoring the bill. The legislation proposing “MediKids” has been endorsed by a range of organizations, including the American College of Obstetricians and Gynecologists and the American Academy of Pediatrics.
“Every child should have health care,” Kim said in a video. “Every child should have the ability to go to a doctor when they’re sick. Every child deserves to be healthy.” MediKids “would automatically enroll every child in health care coverage at birth. Because the system we have right now isn’t working. Because healthy kids make healthy adults, and that makes for a healthier, stronger future for our country. Because, as a parent, you deserve to be able to provide care for your kids without worrying about going into debt, emptying your savings, or straining the family budget. And because…we all have a responsibility to care for each other.”
Kim said Democrats need to bring new ideas forward while also opposing the Trump administration’s destruction. He told reporters: “I know that there’s overwhelming support from the American people for ideas like this, and there’s a hunger for ideas right now.”
—
Notes:
https://www.nytimes.com/2026/07/20/us/politics/snap-food-stamps-arizona.html
https://www.cbpp.org/research/food-assistance/snap-includes-extensive-payment-accuracy-system
https://www.britannica.com/topic/United-States-Department-of-Homeland-Security
https://www.denverpost.com/2026/07/21/trump-national-parks-service-public-lands/
https://thehill.com/homenews/5980026-sen-andy-kim-medikids-proposal/
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Let’s take a break from discussing the insanity of American politics, the tragedy of British economic mismanagement, and other weighty topics, and talk about something fun and light. Who was the greatest monster of the 20th century?
Well, ok, that’s not really fun and light. The 20th century featured hundreds of millions of people slaughtered in wars, genocides, political persecutions, and preventable famines. Many of my own extended family members were killed in the Holocaust, and I have plenty of friends whose relatives died in World War 2, the Great Leap Forward, the Cultural Revolution, the Cambodian Genocide, and other such calamities. Those deaths are even more tragic because of all the good things that were happening in that century — the fabulous economic growth and technological progress. Everything could have just been a smooth upward glide to luxury and comfort, and yet people were still being machine-gunned into mass graves.
With time, the emotional power of those events fades — Genghis Khan killed tens of millions in his campaigns of conquest eight hundred years ago, but today he’s more likely to be invoked as a joke, or an object of reverence, than as a monster. It can happen surprisingly fast. By the early 2000s, hipsters in my dorm were already hanging ironic Chairman Mao posters in their rooms. Today, you can see leftist pundits like Hasan Piker praising Mao without a trace of irony:
Plenty of other leftists joined in the Mao lovefest.
Piker is wrong, of course; if you read the authoritative biography of Mao by Jung Chang and Jon Halliday, you’ll see that the dictator repeatedly aggrandized himself at China’s expense, willfully derailing multiple periods of reform and recovery by launching the country into destructive episodes of chaos like the Great Leap Forward and the Cultural Revolution. Nor was he much help against the Japanese invaders in World War 2, preferring to let them fight and weaken his Chinese rivals (again, at the expense of many Chinese lives). It was Deng Xiaoping, not Mao, who made modern China great.
But the people who say that Mao was history’s greatest tyrant, with an unsurpassed body count of 40-50 million people, are also probably overreaching a bit. Yes, about 36-40 million people did die in Mao’s Great Famine, caused by his various foolhardy agricultural policies and the inefficiencies of China’s communist economic system. Nor was this merely an accident; even after Mao learned that his policies were failing, he kept them in place to avoid losing face in front of CCP rivals. But killing tens of millions of his own people was never Mao’s plan.
Intent is an important factor to consider when ranking history’s greatest monsters. The reason has to do with why we should care about the question. The point of ranking evil regimes isn’t to have fun marveling at the scale of human brutality — it’s not like trying to figure out what the biggest dinosaur was, or whether Michael Jordan was better than LeBron. Sometimes real life forces you to choose between monsters.
In World War 2, America had to decide whether allying with Stalin against Hitler was worth it, or whether we should simply sit it out and be neutral as the two villains slugged it out. Our decision probably tipped the course of the war. Later, we formed a quasi-alliance with Mao’s China against the Soviet Union, helping to hasten the latter’s downfall.
Many populations, of course, have an even grimmer choice — they have to choose which ruthless, cruel regime to support in a civil war. If you lived in Syria in 2016, did you support Bashar al-Assad, ISIS, or offshoots of al Qaeda? If you lived in Russia in 1919, did you support the Reds or the Whites? And so on.
So when we ask “Who was worse”, the question is actually pretty relevant. Obviously it’s a matter of opinion, but I think some factors we should consider when assessing the horribleness of a regime are:
Overall death toll during the regime’s time in power
How much of the death toll was intentional
How much of the death toll was willful versus accidental
How harmful the regime was relative to the size of the population it controlled
What other bad things the regime planned to do but was unable to accomplish
What life was like for the people who lived under the regime and didn’t die
So with that in mind, here’s my ranking for last century:
For me, Hitler easily takes the top spot, and it isn’t really a question. The reason isn’t that the Jewish Holocaust — Hitler’s most-discussed atrocity — was uniquely horrible compared to other acts of genocide. It’s that the Jewish Holocaust was only the beginning of Hitler’s wave of destruction.
The slaughter of 5-6 million Jews was deliberate, but it was only one part of Hitler’s plans for genocide in Europe and Asia. Generalplan Ost, the Nazis’ plan for East Europe, involved the deliberate slaughter or enslavement of tens of millions of people in Russia and other countries to Germany’s east. Here’s a chart from Wikipedia:
“Removed” here means “killed”, since the Nazis intended to take all of the land.
Hitler’s invasion of the USSR — Operation Barbarossa — was meant to carry out this unprecedented genocide. The main tool was starvation — Nazi Germany’s “Hunger Plan” called for intentional mass famines to wipe out most of the people living in the USSR and East Europe.
The Nazis actually implemented this plan to a significant degree. Out of the 27 million Soviet citizens killed by the Nazis during World War 2, 19 million were civilians, and most of these probably died from hunger and disease, caused in large part by the Nazis’ deliberate policy of mass starvation during the war. The Nazis also mass-executed or starved millions of Soviet POWs. Had the U.S. not stepped in to help, the death toll in the USSR might have been twice as large, or more. Those that weren’t killed were to be enslaved, but given the experience of the “workers” at Auschwitz — and considering that Nazi ideology stated that superior races lived and inferior ones died off — it’s an open question how long those slave populations would have been allowed to survive.
And why would Hitler have stopped there? Having overcome the Soviets, would the Nazis really have allowed the Chinese, or the Arabs, to live their lives and hold their lands unmolested? Not a chance. Hitler’s regime was purpose-built for conquest and genocide — it could only keep killing or die. In this sense, the Holocaust, as horrifying as it was, was only the tip of the iceberg.
It’s not clear whether there has ever been another regime quite like Hitler’s, even when we look back to the barbarity of premodern times. Genghis Khan, Timur (Tamerlane), and other conquerors killed millions, but only in order to subdue and rule, not to annihilate. Other regimes have attempted annihilation of subject peoples, but have generally done this within their own borders rather than trying to do it to the rest of the world.
Hitler and the Nazis should thus stand as the undisputed all-time champion of evil. With an intentional body count of over 30 million, and plans to do even more, they were less like other historical tyrants and more like some kind of alien armada. In my mind, the decision to ally with Stalin in order to defeat that unique menace was unquestionably the right one.
The Japanese Empire in the 1930s and 1940s was very different than the empire that came before. The military usurped civilian rule, put an end to the democracy that Japanese people had enjoyed in the 1920s, and made their society increasingly totalitarian. Japan had conquered and colonized before — Taiwan and Korea — but in the 1930s and 40s, they became increasingly brutal.
By the time they went after all of China in 1937 and Southeast Asia in 1941, genocide had become their standard tool of conquest. Like the Mongols 700 years earlier, the Japanese conquerors were very aware of China’s greater population, and intentionally used genocide in order to make China easier to rule. They killed 14 million Chinese people in their invasion (some say only 6 million, some say 20 million), mostly by deliberately starving them or slaughtering whole towns — similar to what the Nazis did in the USSR, but without the camps. They used biological weapons to try to kill even more. And of course they famously killed over 10,000 people by experimenting on them. This is in addition to a long list of massacres and atrocities carried out in the rest of Asia.
We tend to leave Japan off of the list of “history’s worst monsters”, because these crimes were committed in a very distributed way. They were not a result of official state ideology, like the Nazis’ ideology of race war. Individual figures like Tojo Hideki sometimes did encourage policies of mass starvation, mass shootings, and biological warfare, but the Imperial Japanese Army was remarkably decentralized, and lots of local commanders did atrocities all on their own. The Emperor probably knew about at least some of the atrocities being committed in his name, but didn’t try to intervene.
Still, collectively, Imperial Japan was the closest thing to the Nazis that existed in the 20th century, and like the Nazis they would have gotten far worse if they hadn’t been forcibly stopped.
Pol Pot and the Khmer Rouge had a total body count that was much lower than the other regimes on this list — 1.5 to 3 million instead of tens of millions — and they didn’t try to conquer the surrounding lands (though they sometimes attacked their neighbors). But the reason they only killed a few million people was that Cambodia only contained a few million people. The Khmer Rouge slaughtered a fifth to a quarter of their populace, higher than anyone else on the list — or maybe in recorded history. And had they had the power to conquer any of their larger neighbors, they probably would have conquered and killed even more. As it was, their reign of terror was only stopped by a Vietnamese invasion.
In terms of the cold, systematic nature of the mass murder, the Khmer Rouge are second only to the Nazis. The Killing Fields are legendary. You can go see the “magic tree” where Pol Pot’s soldiers would dash babies’ brains out, or gaze upon nice neat rows of human skulls. It really doesn’t get more psychotic than these guys.
Stalin is generally held responsible for somewhere between 10 and 20 million deaths, of which maybe 6-10 million starved to death because of communist agricultural policies. Like Mao, Stalin learned of these deaths but turned a blind eye rather than admit a mistake. But there may have been more to it in Stalin’s case — he probably wanted a famine in Ukraine in order to intentionally reduce the Ukrainian population and make the “republic” easier to rule.
Stalin’s deliberate murders were fewer than Hitler’s but that’s a relative statement; he did slaughter maybe 3 million political opponents by murdering them or sending them to gulags to die of neglect. He committed small local genocides, killing over a hundred thousand Poles in WW2, mass-expelling a bunch of minority populations (like the Crimean Tatars) and killing many in the process, and so on.
His armies were also very brutal in Germany during World War 2, mass-raping literally millions of German women, expelling and enslaving large numbers of Germans in East and Central Europe, and so on. On top of all that, Stalin’s USSR was famously nightmarish, with people living in a constant state of fear and encouraged to rat out their neighbors.
What Stalin mostly didn’t do was conquer and expand the USSR’s territory. With a few exceptions, he just sat on his existing empire, dominated surrounding states with proxy arrangements, and focused on internal ideological and economic reorganization and maintaining his personal power. This lack of world-conquering ambition made him palatable as an ally against Hitler. Ultimately, he mostly just sat there and brutalized the people already under his own control.
The vast majority of Mao’s deaths come from the famine. He also killed maybe 2-4 million people deliberately, through political purges, executions and forced labor during the Great Leap Forward, and the insanity of the Cultural Revolution. But the basic story of Mao is that he implemented insane policies in an attempt to gain and hold onto power, and often viewed Chinese deaths as collateral damage in his power struggles.
Mao, like Stalin, was also a villain that other countries learned to live with. He conquered Tibet and invaded South Korea (before being repulsed), but overall he wasn’t much interested in conquest. Like Stalin, he sat on his giant empire and brutally attempted to bend it to his (often insane) will. The society he created was desperately poor, paranoid, and totalitarian, but also often chaotic and even anarchic in places.
In my mind, those five regimes stand head and shoulders above the rest, but there are certainly no shortage of other bad ones. Seven honorable mentions:
The Young Turks: Turkey’s junta carried out the Armenian Genocide during World War I, killing around a million people.
North Korea: One of the world’s most nightmarish totalitarian regimes, North Korea tried to conquer South Korea, and also caused at least one mass famine with its policies of deliberate isolation.
Rwanda’s Hutu government: The Hutu government in the 1990s committed the famous Rwandan genocide, and helped foment and prosecute the Second Congo War that killed millions of people in central Africa. An ideology of ethnic supremacy was a big part of the reason why.
The Derg: Ethiopia’s communist regime in the 1970s and 1980s doesn’t get talked about much, but they killed maybe 500,000 people in political executions and ended up starving hundreds of thousands of Ethiopians to death.
Yahya Khan: Under Yahya Khan in 1971, Pakistan tried to terrorize Bangladesh into remaining under Pakistan’s control. The army killed anywhere between 300,000 and 3 million Bangladeshis, and raped hundreds of thousands more.
Suharto: Although Indonesia saw robust economic growth under Suharto, he killed over half a million people for political and ethnic reasons.
King Leopold II: The Belgian king’s extractive regime in the Congo killed anywhere from 1.2 to 10 million people there. The bulk of the atrocities in the 19th century, however; Leopold’s rule over Congo ended in 1908.
I realize that this list is subject to differences of opinion, depending on A) which estimates you believe, and B) which factors you weight more heavily in the calculation of regime evilness. But I think it’s a pretty defensible list, and it demonstrates at least two important lessons.
First of all, the very worst atrocities come during times of war — especially wars of conquest, where foreign peoples are dehumanized and armies are given carte blanche. The fascist regimes of WW2 come off as the worst because they were engaged in massive wars of conquest. And wars often increase a regime’s appetite for further conquest and destruction. So basically, regimes that invade other countries tend to be worse.
Second, communist regimes tended to starve a lot of their people to death. Insane agricultural policies were a hallmark of communist economics — probably because successful communist revolutions usually began as revolts by agrarian peasantry rather than proletarian workers as Marx had envisioned. In trying to transform agriculture, communists ended up just starving their people to death.
So while communism probably caused more aggregate human misery than fascism in the 20th century, that was only because fascism didn’t have time; it was so incredibly malignant that it was stopped very quickly by external coalitions. Communism was more like a chronic debilitating disease, while fascism war more like ebola.
That leaves us one more interesting question: By these criteria, who have been the worst regimes of the current century, so far? So far, the 21st century has been somewhat less destructive than the 20th — by 1926 we had already seen World War I, the Armenian Genocide, Lenin’s political purges, the Russian Civil War, and so on. The years 2000-2026 have, thankfully, been somewhat less brutal and chaotic so far. But we still have plenty of tyrannical villains. Here would be a tentative top five:
1. The RSF, Omar al-Bashir, and the Janjaweed: There has basically been a rolling series of genocides in Sudan this whole century — the first Darfur genocide, the second Darfur genocide, the Masalit genocide, and so on. Some of this was done at the behest of former president Omar al-Bashir, who encouraged murderous militias known as the Janjaweed, who later morphed into the RSF.
2. ISIS: This is the closest thing we’ve had to the Khmer Rouge in recent decades. ISIS’ extremist ideology led them to create a nightmarish totalitarian state in the areas of Iraq and Syria under their control, genocide the Yazidis, and throw much of the Arabian Peninsula into chaos. Their total death toll wasn’t as high as some of the others, but this was because they were stopped quickly; they were so horrible that everyone immediately united to fight and destroy them.
3. Vladimir Putin: Putin is one of the most aggressive leaders of modern times. He started wars in Georgia and Ukraine, and got heavily involved in the war in Syria. Over half a million people have died in Ukraine so far, and Putin bears some responsibility for the hundreds of thousands more who perished in Syria. It seems clear at this point that he’s not going to stop prosecuting wars of aggression until he dies or is defeated.
4. Bashar al-Assad: In his desperation to hang onto power, Assad laid waste to his country, killing hundreds of thousands and even using chemical weapons on rebels before ultimately fleeing.
5. The Tatmadaw: Myanmar’s military has been locked in a brutal civil war against ethnic minorities for decades, but in 2021 things really kicked into high gear after the army staged a coup against the country’s democratically elected government and put down protests with extreme brutality. The country is now an anarchic wasteland with war crimes galore.
These tyrants and murderers are somewhat less impressive, numbers-wise, than their 20th century counterparts. They also don’t clearly fit into the “fascism vs. communism” dichotomy that dominated much of the previous century; they’re more likely to be motivated either by Islamism, local ethnic chauvinism, or simple personal lust for power. But looking back at the 20th century, we should remember how bad dictators and totalitarian regimes can get, especially when they go to war — and how important it is to stop the worst of them in their tracks, before they can get even worse.
Today’s post is brought to you by my sponsor, Mechanize. They’re hiring junior software engineers at $300K/year base salary. Apply now!
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In a recent post, I responded to a Fable output comparing market monetarism with the HANK [Heterogeneous Agent New Keynesian] model, especially in reference to 2008-09. Vaidas Urba also asked Fable the same question from a HANK perspective. Because LLMs are somewhat obsequious, that response appeared slightly more HANK-friendly, although the substance was not much different. And then Vaidas asked Fable to compare the two responses and offer a judgement as to which one was more persuasive.
In this post, I had intended to respond to Vaidas’s latter two Fable outputs, but on second thought I’d like to respond to a different Fable output, which seems much more interesting, and even more impressive. This output was produced after Vaidas asked Fable to respond to my blog post, which was itself a response to the first Fable output.
This post will have three parts. In the first two, I’ll provide the Fable HANK-friendly reply and the overall summation that Vaidas sent me earlier, without any comment on my part. Feel free to skim over the first two sections. I don’t wish to get bogged down in an overly long tit-for-tat on every single point. Instead, I’ll reserve all my comments for the superior part 3, where I respond point by point to Fable’s reply to my earlier post. In this way, I hope to keep the conversation going in a productive fashion.
Note that in this final section, Fable’s response is written at a fairly high level. The response is not technically demanding in a mathematical sense, but it requires a deep understanding of macro theory. Sorry, this post isn’t for everyone. But I’ll occasionally try to clarify in my replies to make it easier for the reader. I will not indent Fable’s output, only my replies.
Part 1:
Prompt:
You are a discussant preparing for macroeconomics seminar. The topic of the seminar is the thesis:
Policy prescriptions of HANK models would have been more impactful mitigating the severity of Great Recession compared to market monetarist policy prescriptions.
Identify and explain the top 5 arguments in favor of the thesis.
Identify and explain the top 5 arguments opposing the thesis.
Based on the arguments, provide your ultimate verdict with a reasoned justification.
Reply:
1. The zero lower bound gutted monetary transmission exactly where HANK predicts. Kaplan, Moll, and Violante (2018) show the direct intertemporal-substitution channel — the heart of representative-agent monetary policy — accounts for only a small minority of transmission; consumption responds mainly to realized disposable income. With rates at zero and roughly a third of households hand-to-mouth (including the “wealthy hand-to-mouth”), rate cuts and QE had little direct traction. Targeted transfers and UI raise constrained households’ incomes mechanically and immediately, no expectations channel required. Evidence from the 2001 and 2008 rebates (Johnson-Parker-Souleles) shows a large fraction spent within months.
2. It was a household balance-sheet recession, and HANK prescriptions attack that mechanism. Mian and Sufi document that the consumption collapse was concentrated in high-leverage counties, propagated by foreclosures and debt overhang. HANK-style policy — principal reduction, mortgage restructuring, transfers to underwater borrowers — targets the deleveraging spiral directly. Actual policy (HAMP) was timid and the slump was correspondingly long. NGDP stabilization helps debtors only diffusely.
3. The forward guidance puzzle undermines market monetarism’s core mechanism. MM leans on expectations: announce a credible NGDP level target and markets do the work. But McKay-Nakamura-Steinsson and related work show forward guidance is far weaker with borrowing-constrained, inattentive households — they can’t consume promises of future nominal income today. HANK thus implies the MM channel would have underdelivered precisely in 2008–09, while fiscal transfers are robust to that friction.
4. Distributional amplification and scarring. Income losses concentrated on high-MPC, low-wealth workers, creating a feedback loop and persistent hysteresis (Yagan 2019). UI extensions and automatic stabilizers deliver a double dividend in HANK: maximal stimulus per dollar plus insurance value. Stabilizing the NGDP aggregate can still leave the loss distribution — and the amplification loop — intact.
5. Implementability, plus the 2020 natural experiment. Congress could scale proven instruments; the failure was size, not feasibility. Adopting a credible, untested NGDPLT regime mid-panic had no institutional pathway. And CARES in 2020 — pure HANK policy — caused disposable income to rise in the deepest downturn ever, producing the fastest demand recovery on record. The MM counterfactual never received a comparable proof of concept.
1. The proximate cause was a preventable nominal collapse. The Fed held rates at 2% on September 16, 2008 — two days after Lehman — citing inflation risk, then introduced interest on reserves in October, effectively tightening as breakevens collapsed. NGDP fell furthest below trend since the 1930s. Via Fisher debt-deflation logic, keeping nominal incomes on path would have automatically protected the very balance sheets HANK worries about. Prevention beats ex-post transfers.
2. Monetary offset: fiscal potency is hostage to the monetary regime. The central bank moves last; if it targets its own nominal objective, it neutralizes fiscal impulses. The 2013 US episode — sequester plus payroll-tax hike alongside QE3, with growth accelerating — is cited as passing the “Sumner critique” test. Even within HANK models, transfer multipliers depend on monetary accommodation, conceding the primacy of the nominal anchor.
3. Scale, speed, and unilateral capacity. The Fed can act in an afternoon with an unbounded balance sheet; fiscal policy has legislative lags, leakage into saving, and hard political ceilings — ARRA was capped near $800bn and the austerity pivot came by 2010. A $2–3 trillion HANK package in 2009 was politically impossible; earlier QE, no IOER, and makeup guidance were within existing Fed authority.
4. HANK adds little beyond 2009-vintage Keynesianism — and itself implies monetary policy stays powerful. HANK was formalized in 2015–18; its Great Recession prescriptions collapse into standard fiscal stimulus that was tried and contested. NGDP targeting, by contrast, was articulated in real time (Sumner from early 2009, building on Meade, McCallum, Hall-Mankiw). Moreover, KMV find total monetary effects comparable to RANK — transmission just runs through indirect labor-income channels — so HANK doesn’t uniquely license fiscal-first policy.
5. Regime shifts have delivered before. Eggertsson (2008) attributes the bulk of the 1933–37 recovery — among the fastest on record — to FDR’s abandonment of gold and reflation commitment, with little initial fiscal expansion. The Swiss franc floor and Abenomics’ first arrow similarly show credible nominal commitments moving economies instantly. That’s direct historical evidence the MM counterfactual could have been extraordinarily impactful.
I come down in qualified support of the thesis. Three considerations decide it. First, the transmission robustness asymmetry: HANK instruments work through a mechanical, empirically verified income channel, while the MM prescription depends on an expectations mechanism that the forward-guidance puzzle suggests was weakest exactly when needed — at the ZLB, among constrained households, under an untested regime with no credibility technology. Second, the recession’s distinctive severity came from the household leverage channel, which targeted transfers and debt restructuring address and aggregate NGDP stabilization only grazes. Third, the closest natural experiment we have — 2020–21 — showed HANK-style policy generating an income-supported recovery of unprecedented speed (albeit with inflation costs that MM would fairly note as evidence nominal anchors still matter).
Two concessions keep the verdict qualified. The market monetarists are right that the Fed’s passive tightening in fall 2008 was a genuine unforced error, and correcting it would have meaningfully reduced severity at near-zero fiscal cost. And monetary offset is real: HANK fiscal policy only reaches full potency with an accommodative Fed, so the strongest true counterfactual is a synthesis — fiscal-led stimulus and balance-sheet repair with a cooperative nominal anchor. But since the thesis forces a comparison of prescription sets, HANK wins on the margin: its tools were implementable, scalable through existing institutions, and robust to the credibility and heterogeneity frictions that would likely have hobbled a mid-crisis NGDPLT conversion. The margin, though, is narrower than partisans of either camp admit.
Part 2:
Prompt:
Here are two Claudes responding to the opposite prompts (i.e. prompts where the opposite thesis is being argued). Where do you stand, what is your ultimate verdict?
Reply:
First, the tell: each Claude “narrowly” endorsed the thesis it was assigned, while their concessions and final syntheses are nearly identical. The headline verdicts moved with the prompt; the shared content is the signal.
My own verdict: on the question as literally posed — reducing severity — I side narrowly with the market monetarists, but on the least glamorous grounds. Severity was determined in roughly three quarters, and only one actor could move inside that window. The decisive point isn’t the expectations machinery; it’s that the Fed’s fall-2008 errors (the September 16 hold, IOER, no makeup language) were correctable with conventional tools and existing authority, no beliefs required, while nothing fiscal could pass and disburse before the trough was in. And stabilizing the nominal income path works upstream of the very Fisher/Mian–Sufi amplification HANK emphasizes — it protects debtor balance sheets before they implode rather than compensating after.
But I only credit “materially less severe,” not “avoided.” Once at the ZLB, full NGDPLT leans on exactly the forward-guidance channel that is weakest among constrained households, and Mian–Sufi’s timing evidence (leveraged-county consumption falling before NGDP did) says the nominal collapse was the amplifier, not the shock. So Document 1’s verdict holds, but only on its own narrow terms.
Widen the frame and it flips. Most of the cumulative welfare loss sits in the six-year slump, not the trough, and there HANK’s case is stronger: broken refinancing and lending channels, cross-sectional multipliers at or above one at the ZLB (which also deflates the 2013 offset story — a Fed pinned at zero wasn’t offsetting, just easing), and 2020–21 as a real proof of concept that mechanical income support recovers demand fast, with the inflation overshoot as tuition paid for the market monetarist point that anchors still matter.
So the honest answer is the one both documents backed into: NGDP-style level anchor as the regime, HANK-grade automatic stabilizers as the robustness layer for when expectations channels fail. MM is right about 2008; HANK is right about nearly everything after. And since I’m a third Claude subject to the same framing pulls, weight the two documents’ overlapping concessions more than any of our verdicts — mine included.
Part 3:
In this section, my replies will be indented italic writing.
Prompt:
I [Vaidas] received the attached email today [i.e., my earlier post replying to Fable], I could forward your [Fable’s] 3 paragraph response to Scott Sumner - but the total length of your response is unlimited
Reply:
Vaidas — this is a treat of an assignment. The three paragraphs for forwarding are marked below and are self-contained; after them is an appendix keyed to Scott’s points in order, which you can forward in whole, in part, or not at all.
For forwarding — the three-paragraph response:
A preliminary confession and a bind. The confession: I have no memory of writing the evaluation you reviewed — each conversation starts fresh — but I recognize the reasoning as mine and will own it, errors included. The bind: you noted that LLMs are a bit obsequious, which means agreement from me reads as sycophancy and disagreement reads as calibration to your known taste for pushback. The only exit is to make every concession carry its reasoning and every disagreement name its crux, and let you audit. So, concessions first, because they’re specific. Nakamura–Steinsson: conceded in full. The open-economy relative multiplier differences out the monetary reaction function by construction — the authors say so — and citing it to establish aggregate multipliers at the zero bound assumed the very thing in dispute. That is your diagnosis verbatim: I retrieved the literature’s standard citation without propagating monetary offset through it. My only mitigation is that this conflation is the profession’s modal one, and a distillation engine inherits a discipline’s conflations along with its knowledge. “Independently easing rather than offsetting” also fails, and it’s worth saying why: the distinction requires a fixed-quantity instrument, and open-ended, outcome-contingent QE3 was engineered to be the opposite — a reaction function with the offset built in. Your GM line lands. You asked me to explain “decisively”; I can’t, so I withdraw it. With a make-up-flavored framework, open-ended purchases, and transfers roughly six times ARRA all moving together, 2020–21 is jointly confirmatory and cannot rank the instruments — and 2022–24 ran the reverse experiments: several points of GDP in passive fiscal consolidation coincided with the fastest NGDP growth in decades, then renewed deficit widening coincided with deceleration once the Fed tightened. Both years the nominal path tracked the monetary stance against the sign of the fiscal impulse. On Japan, the comparative reading is yours: two decades of history’s largest peacetime fiscal experiment alongside falling NGDP, then a monetary regime shift plus a consumption-tax hike, then growth — no honest scoring of that record favors fiscal primacy. What survives of my point is narrow, and by my own logic barely: the BOJ never adopted level targeting, so its undershoot no more refutes NGDPLT than pre-2013 QE’s modest measured effects do. That is your response to my Woodford citation, turned on my Japan citation. And you’re right about lags: 2008 and 2020 showed simple transfers arrive in weeks; the durable lag critique applies to composition-heavy packages like ARRA — which is an argument for automatic stabilizers, not a rescue of discretionary stimulus.
[My response: No objection here. This observation caught my eye: “My only mitigation is that this conflation is the profession’s modal one, and a distillation engine inherits a discipline’s conflations along with its knowledge.” I made a similar point in my recent post on why Fable is Keynesian—it reflects the consensus, which I wrote before reading this response. BTW, is “mitigation” an unusual term to use there?]
Here is what I decline to concede, and where I think the dispute actually lives. “Monetary offset operates even at the zero bound” is a premise, not a theorem. Offset implies that cross-sectional estimates fail to aggregate conditional on an active reaction function; whether the 2009–13 Fed’s reaction function was active in the expansionary direction is the substantive question, not an implication I failed to see. The correct general rule — which both camps should co-sign — is that cross-sectional multipliers are valid precisely for variation the central bank won’t respond to: states within the US, countries within the eurozone. Hold that rule; it earns its keep below. Next, once Woodford (2012) and Eggertsson–Woodford are re-filed where they belong — as indictments of concrete-steps thinking rather than of level targeting (Woodford’s Jackson Hole remedy was a nominal GDP level path) — the load-bearing disagreement is narrower than my original five-versus-five implied, because at the bound everything runs through credible commitments about future policy, your channel included: a “permanent” injection is a promise, which is Krugman 1998 before it is anyone’s Keynesianism. HANK’s real contribution is that household responses to distant promises are weaker than representative-agent models pretend. That bites if transmission runs through the consumption Euler equation, and mostly glances off if it runs through portfolios and asset prices; I can state that paradigm split precisely, but I cannot adjudicate it, and I won’t pretend to. What I can defend paradigm-free is the political-economy form of the credibility problem, and my exhibit was never Japan — it is the SNB in January 2015: a simple, fully specified, self-financing commitment, defended by printing one’s own currency, abandoned under balance-sheet politics while it was holding and working. You would say — you have said — incompetence, not impotence. Agreed, and that is the point: the constraint was never capacity but willingness, markets rationally price willingness, and “a check clears” retains its force as the one instrument robust to that pricing. Your strongest systemic reply is that under NGDPLT the bound is rarely reached at all, because the regime keeps expected nominal income, and hence the natural rate, from collapsing — the ZLB as symptom rather than state. Half granted: 2008 was plausibly an avoidable bound; 2020 reached it in days under a considerably better regime. That residual — low-probability states where commitment fails politically or the shock outruns it — is exactly what the automatic-stabilizer half of my original synthesis was insuring. Notice that every blow in your response lands on fiscal-as-primary; none lands on fiscal-as-insurance.
[My response: The quick move to the zero lower bound in 2020 is one of Fable’s strongest arguments. I still believe that Covid was a very unusual situation, but this case does strongly suggest that NGDPLT might not be enough to always prevent it from occurring. (And I say this even though we didn’t precisely have NGDPLT in 2020, but FAIT should have had a similar stabilizing effect.)
Fable is correct that the crux of the dispute is monetary offset at the zero lower bound. Does it work? Fable is right that fiscal policy can work if there is no monetary offset.
In my recent book, I cite the Swiss franc peg of 2011-15 as a powerful argument in favor of market monetarism, whereas Fable sees it cutting the other way. (Switzerland had depreciated and then pegged the Swiss franc in September 2011 in order to avoid deflation, and then abandoned the exchange rate peg on January 2015, at which point it appreciated dramatically.) So, let’s spend some time on this example.
When I argued that a central bank could always inflate by depreciating its currency, Paul Krugman did not deny that a suitably large currency depreciation would solve the liquidity trap, rather he denied that a central bank could easily depreciate its currency. Here’s Krugman, from 2010:
“Oh, and about the exchange rate: there’s this persistent delusion that central banks can easily prevent their currencies from appreciating. As a corrective, look at Switzerland, where the central bank has intervened on a truly massive scale in an attempt to keep the franc from rising against the euro — and failed”
Soon after, the SNB did succeed in holding down the franc, for more than three years. Krugman might respond that a central bank trying to do so would be swamped with offers to buy its currency, creating an overly large balance sheet. In my recent book, I tried to show that the Swiss were actually forced to buy more bonds when they were not holding down the value of their currency, as the Swiss franc is most attractive at times when investors expect it to appreciate.
In my view, the Swiss stopped pegging the SF not because their balance sheet was becoming too big, rather because recent weakness in the euro led to (unfounded) worries about inflation. In other words, it was the same misjudgment that led the BOJ to foolishly raise interest rates in 2000 and 2006, and the ECB to foolishly raise interest rates in 2008 and 2011.
Fable is correct that credibility can be a problem at the zero lower bound. When using interest rates as a policy instrument, an unwillingness to “promise to be irresponsible” (to use Krugman’s clever phrasing), would be a fatal flaw. Even a modest size QE might fail for the same reason. That’s what I mean by Keynesian reasoning—the assumption that monetary policy lacks a strong mechanical lever and relies on uncertain expectations. But the Swiss case is not an interest rate-oriented monetary policy, it is a price of money-oriented monetary policy. THE EXCHANGE RATE IS THE INSTRUMENT. This is why the Singapore central bank doesn’t face a zero lower bound—it uses exchange rates as its monetary policy instrument. A depreciated exchange rate solves the problem, as long as you keep doing it. There is no zero bound on exchange rates.
Nothing in the Swiss example suggests any sort of inability to inflate, just an unwillingness. Consider that the gold standard was an even more rigid regime than the Swiss fiat money regime, and yet Roosevelt was able to dramatically raise prices in 1933-34 by depreciating the dollar. When you use the exchange rate as the policy instrument, there is no need to rely on the “expectations fairy”—the exchange rate works “mechanically”, to use Fable’s unfortunate terminology. Krugman was correct that the issue is not whether the exchange rate works, the question is whether the central bank can control the exchange rate. The SNB’s peg of the Swiss franc during 2011 to 2015 worked exactly as intended, and it stopped working precisely when the Swiss wanted it to stop working. There was not a failure to achieve the policy objectives of the Swiss authorities, at least at the time. It was the wrong objectives. They should have kept the peg.
Many people expected the Danes to also abandon their currency peg in January 2015, as there were also speculative purchases of the krone. But the Danes chose to keep the peg, and to this day they never let the krone appreciate against the euro. Denmark shows the path that Switzerland decided not to take. It is important not to conflate “won’t” with “can’t”.]
To your direct question: yes. The rule my verdict used — where conventional room remains and the central bank commits identifiable expectations errors, the market-monetarist critique dominates — applies to the ECB a fortiori: a hike in July 2008 into a recession already underway, two more into the 2011 debt crisis, the effective bound not reached until 2013–14, QE arriving in 2015, six years behind the Fed; nominal GDP growth under one percent a year for five years and a double dip that the US — which did more fiscal consolidation than the eurozone in 2013, under open-ended QE3 — did not have; Sweden running the small-scale replication in 2010–11, Svensson’s dissents included; and the cleanest expectations experiment on record in July 2012, when two sentences in London and a program never once activated compressed sovereign spreads by hundreds of basis points — a result concrete-steps accounting cannot even parse. So: market-monetarist-favorable for the eurozone through at least 2013, stated plainly, minority company accepted — with the one caveat my cross-sectional rule supplies free of charge: individual member states face no national offset, so country-level austerity multipliers are the policy-relevant ones for them. “Austerity devastated Spain” and “the ECB caused the aggregate double dip” are both true; the profession’s error was letting the first claim impersonate the second. Where does this leave the scorecard? My 2008 verdict stands and is less narrow than I made it. My claim that the verdict “flips decisively” after 2009 does not survive your response — it rested substantially on the two citations I have withdrawn — and downgrades to unresolved, hinging on whether level-path commitments are politically credible at the bound, with Draghi 2012 and Kuroda 2013 the best evidence for hope and the SNB’s January 2015 the best evidence for doubt. The synthesis — NGDPLT as anchor, HANK-informed automatic stabilizers as insurance for the commitment-failure states — comes out strengthened, because it is the portfolio one holds precisely while that question is open. Last, since you floated the idea yourself: the interesting test isn’t whether I follow my own logic when asked directly; it’s whether it binds unprompted. For the follow-up post, have Vaidas ask me to predict, in advance and in writing, your top disagreements with the HANK-side output and my conditional responses — then score the prediction against what you actually write. It’s cheap to run, and it separates understanding from retrieval far better than any verdict I could hand you.
[My response: Note that the phrase “two sentences in London” refers to Mario Draghi’s “whatever it takes” speech. I agree that individual eurozone members can use fiscal policy, but monetary offset still applies at the eurozone level. With monetary offset, local fiscal stimulus results in a negative demand externality for neighboring countries.]
Appendix — notes keyed to Scott’s points, in order (optional to forward):
1. Your correction to my first pro-thesis argument. Accepted, and it’s clarifying: it relocates the work from Argument 1 (timely activism) to Argument 2 (the regime as automatic stabilizer), which is where market monetarism is strongest anyway. Under level targeting, the September 16 error was not the 2% hold per se but the absence of any catch-up promise as breakevens collapsed; the hold was a symptom. Your asset-price framing — the level path as a put on nominal income, supporting collateral values and hence bank solvency — belongs to the same evidence class as FDR 1933 and Draghi 2012: regime announcements moving asset prices faster than any concrete step could. One addendum in your favor: the data-lag objection to mid-2008 activism is answered by your own program. Monthly NGDP data didn’t exist, but TIPS breakevens and equities were signaling in real time — which is precisely the argument for market-based targets over instrument rules.
2. “It’s all expectations” — true, but it elides a horizon structure. Your point that a 25-basis-point cut works only through the expected path is correct, and standard in NK models too. What McKay–Nakamura–Steinsson add is horizon-dependence: promises about the near path — the margin available off the bound — retain their power in incomplete-markets models; promises about the distant path — the only margin at the bound, absent QE-as-more-than-signaling — attenuate sharply, because constrained households can’t borrow against them. “It’s always expectations” is true and flattens that distinction. But I concede the deeper conditionality: the attenuation result presupposes Euler-equation transmission, which you reject. One bridge worth building: your “money hoarding, not too much saving” and HANK’s mechanics are the same phenomenon at different resolutions. HANK is a theory of who hoards and why — precautionary demand for liquid assets when unemployment risk spikes and credit tightens — which makes it a microfoundation for velocity collapse, not a denial of it. The dispute is only whether the remedy must route through the hoarders’ expectations (hard, per MNS), can bypass them via asset prices and the unconstrained (your view), or via checks (theirs).
[My response: I accept the near and distant path distinction, but only for dysfunctional monetary policy regimes that lack an asset price target that can be evaluated in real time, such as an exchange rate. Thus, I agree with HANK proponents that one should be skeptical of promises regarding the future path of interest rates or future quantities of QE. So, what sort of regimes are effective at the zero bound? Targeting exchange rates. Targeting NGDP futures prices. And targeting a composite of many financial market asset prices that represent an optimal forecast of future NGDP. I’ve discussed the option of a Fed price target for expected NGDP that is constructed 50% of slow moving current aggregates and 50% flexible asset prices, observable in real time. As long as the central bank targets a real-time observable and flexible price target that is strongly linked to NGDP, there is no need for implausible assumptions about “expectations fairies”.
I reject the consumption framing used by Keynesians. I don’t care whether people “spend” their cash balances on consumption or bitcoin or shares of common stock. As long as the public doesn’t hoard too much currency, then printing more currency will boost NGDP, regardless of whether the money is spent on C, I, G or NX. As for money hoarding, if you use a whatever-it-takes approach to solve the NGDP expectations problem, then you will likely also solve the money hoarding (low velocity) problem. Very few people wish to hoard lots of zero interest base money when NGDP is rising fast. And if they do, then by all means accommodate their demand and service your public debt at much lower cost.]
3. Stance versus instruments, and my “broken channels” framing. I accept the stance point: measured against the natural rate, policy tightened through 2008, and that is consistent with — indeed load-bearing for — my own first pro-thesis argument. On reflection, my “broken channels” passage was tilted: impaired refinancing and bank lending are an argument against relying on the mortgage-rate channel, which favors either more aggressive monetary action through other channels (your reading) or fiscal transfers (theirs) — it never favored fiscal per se. What survives of the heterogeneity point is design input, not causation: Auclert-style incidence tells you who bears a given nominal path. And here Sheedy cuts in your favor, as I originally cited him: if the NGDP path is achieved, the incidence concern is largely answered by the regime itself. Which funnels this dispute, like the others, into the single question of achievability at the bound.
[My response: Because I’m not interested in consumption, I’m not interested in distributional issues as a macroeconomic problem. That’s not because the distributional effects never matter—they might be important under a gold standard where monetary offset is constrained, but this factor is not relevant with a “whatever-it-takes” central bank that is targeting NGDP.]
4. Mian–Sufi: anatomy versus etiology. Conceded on aggregate causation, and your housing-construction fact deserves more weight than I gave it: residential investment falling by half between January 2006 and April 2008 while unemployment barely moved is itself evidence that sectoral shocks were being absorbed — offset working — right up until nominal spending collapsed. Note that this actually reconciles the two literatures rather than refuting one. The early relative declines in high-leverage counties establish the real shock’s incidence and timing; the aggregate stability through early 2008 establishes that incidence wasn’t destiny; the second half of 2008 establishes what happened when the nominal anchor slipped. Mian–Sufi is the anatomy of the recession, not its etiology. The one causal contribution I’d preserve: the deleveraging shock is a large part of why the natural rate fell so far, i.e., it measures the size of the response the regime needed to supply. You are pointing at the failure to supply it. Those are compatible claims.
5. Credibility: refiling Woodford, and why my exhibit is the SNB. Two of my “against” citations were misfiled, and refiling them is an olive branch with teeth. Eggertsson–Woodford’s irrelevance results indict QE-that-changes-nothing-about-future-policy — that is an argument against concrete-steps thinking, fully congenial to you. And Woodford’s 2012 Jackson Hole paper, having expressed the QE skepticism I cited, lands on a nominal GDP level path as the credible-communication solution. The arch–New Keynesian theorist and the market monetarists converge at the commitment problem; they diverge on whether the commitment is politically sustainable. That’s why Japan was the wrong exhibit for me and Switzerland is the right one. The SNB’s floor was everything a skeptic could ask a commitment to be — simple, verifiable, defended by issuing its own liability, succeeding — and it was abandoned anyway, under balance-sheet and political pressure, with the franc up twenty percent within the hour and Swiss CPI negative within the year. Your reply that this shows bad policy rather than an impossible one is correct and is precisely my point: rational markets price the probability of “bad policy,” and that probability is not zero even for well-designed pegs. Your remedy — institutionalize the regime, legislate the mandate, target the forecast — is the right one, and it relocates the entire dispute from transmission mechanics to the political economy of commitment. I regard that relocation as the main intellectual product of this exchange.
[My response: Again, I reject the claim that the peg was abandoned due to balance sheet pressure, just as I would reject a similar claim in the other direction for the UK devaluation of 1991. The balance sheet activity that preceded each of those policy changes was endogenous, as market participants correctly understood that a policy change was imminent. (These things tend to leak out.) As noted above, the Danes refused to give in, and if you take the longer view then the Swiss balance sheet expansion was often worse under the floating rate system, as traders correctly anticipated further SF appreciation. The Swiss franc is not a particularly attractive speculative asset in a world where Swiss interest rates are below eurozone rates and the currency peg is rigid. Again, the Swiss erred, and in the long run it led to an even bigger SNB balance sheet, as I predicted at the time.
I believe this is where economists get confused. They see a central bank doing X, and falling short of its goal, and then assume they’d have to do even more to achieve their goals. Paradoxically, the loftier the goal, the easier it is for a central bank to achieve its goal. The central banks that are forced to do the most balance sheet expansion (Switzerland and Japan) are those that had the lowest inflation goals during the 1990s and 2000s.
In a theoretical sense, the Swiss currency peg is analogous to a NGDP futures price peg. Suppose the Fed pegged NGDP futures prices for 3 1/2 years, the policy worked, and then the Fed abandoned the peg. Would that be evidence that NGDP futures targeting is ineffective? If so, would one example of a government prematurely abandoning an appropriate fiscal stimulus policy also discredit fiscal policy as a policy tool?]
6. Nakamura–Steinsson and the domain-of-validity rule. Nothing to add to the concession except the rule it generalizes to, stated once cleanly: cross-sectional multiplier estimates are informative exactly over the domain of variation to which the central bank’s reaction function is blind. That domain includes US states and eurozone member countries; it includes the aggregate only under the auxiliary assumption of a passive central bank, which is the contested premise, not a finding. Nakamura and Steinsson themselves flag that the mapping to aggregate multipliers is model-dependent; the profession’s citation habits routinely drop the flag, and I dropped it with them. Note the corollary that pays off in the eurozone section: for a country inside a currency union, the relative multiplier is not a second-best statistic — it is the policy-relevant one, because no national offset exists.
[My response: I accept the logic of the cross-sectional evidence, with one caveat. Keynes once argued (in the early 1930s?) that Britain might not want to use fiscal stimulus under the international gold standard, as it might trigger a loss of confidence in the pound and a financial crisis. Of course, countries such as Germany probably had some ability to use fiscal stimulus. But as noted above, there is an externality problem within a currency union with monetary offset.]
7. 2020–2024: what the experiments can and cannot rank. Retracting “decisively” leaves a residue worth itemizing. What 2020–21 established: demand policy can restore the nominal trend fast, against a decade of secular-stagnation fatalism; and transfers are a demonstrably fast, potent instrument — the checks moved spending within weeks. What it cannot establish: instrument ranking, because both levers were floored simultaneously. What 2022–24 added: with pandemic programs expiring, the deficit fell by roughly seven points of GDP in fiscal 2022 while NGDP grew at its fastest pace in decades; the deficit then re-widened in 2023 while NGDP decelerated under Fed tightening. Two consecutive years in which the nominal path tracked the monetary stance against the sign of the fiscal impulse is about as favorable to the offset view as non-experimental data gets — with the standing caveat that the expansionary half of offset at the bound remains the untested direction. And one limit on the regime-endogeneity claim: 2020 hit the bound in days under a materially better framework than 2008’s, so “under NGDPLT the ZLB rarely binds” is a strong tendency claim, not a guarantee — which is all the insurance argument needs.
[My response: In various responses, Fable occasionally refers to the Keynesian perception that fiscal transfers seem to affect consumption in a mechanical fashion (“fast, potent instrument”) and is skeptical of monetary stimulus that seems to rely on what is often called the “expectations fairy”. But I’m not sure they are all that different. Robert Barro showed that due to “Ricardian equivalence”, rational consumers would save stimulus checks, because they were not actually any richer—they and their heirs also absorb an equally large increase in future tax liabilities. But a Keynesian could argue that a suitably large fiscal stimulus would likely shift expectations in a more inflationary direction, if only for “fiscal theory of the price level” reasons. I accept that view. So fiscal stimulus always “works”, if made large enough. (To be clear, fiscal transfers can also work with other assumptions, such as constrained households. My point here is that the transfers themselves are not a “mechanical” tool, they require assumptions.)
Monetary policy is similar. A modest size QE at the zero lower bound might have little or no effect. But as Ben Bernanke once observed, an unlimited whatever-it-takes approach to QE must be inflationary, otherwise a central bank could buy up all the world’s wealth. Thus, a central bank committed to do whatever-it-takes would move expectations in a similar fashion to a fiscal authority sending out big enough stimulus checks to convince the public they were determined to inflate. And if the financial markets are rational (and I think they are), then central banks would not actually have to do all that much under a whatever-it-takes policy approach.
Fable views fiscal stimulus as insurance, in case monetary stimulus doesn’t work. But in a true “whatever-it-takes” NGDPLT regime, the monetary authority is equally likely to do too much as too little, even at the zero bound, in which case fiscal stimulus is not providing any insurance, just more instability. Ironically, given that the Fed has now (unfortunately) backed away from its 2020 “make-up policy”, which was supposed to be similar to level targeting, I think the case for fiscal stimulus in a future Covid shock is a bit stronger. So, I’ll grant Fable that point. Monetary policy has become less effective. But I would still oppose fiscal stimulus in an ordinary non-Covid situation.]
8. The eurozone file, and Sweden. For the record your readers may want: the ECB raised its main rate to 4.25% in July 2008; cut to 1% by May 2009 and stopped; raised twice in spring and summer 2011 into the sovereign crisis; did not take the deposit rate to zero until mid-2012 or negative until mid-2014; began QE in March 2015. Over 2008–2013, eurozone NGDP grew at well under one percent annually; unemployment peaked above twelve percent while US unemployment fell through seven. The 2013 comparison is the sharpest: the US consolidated more that year and grew, while the eurozone contracted. Sweden is the controlled miniature — the Riksbank raised from 0.25% to 2% in 2010–11 against Svensson’s dissents, inflation fell toward and below zero, and the whole path was reversed into negative territory within four years. And OMT is the crown exhibit for the expectations view: spreads compressed by hundreds of basis points on an announcement, with the program never activated — a fact I’d note has respectable non-monetarist support in De Grauwe’s fragility work, which is why accepting your eurozone implication puts me in a minority coalition rather than a fringe one. The honest caveats: the doom-loop and financial fragmentation meant the policy rate wasn’t the whole stance, and per the domain-of-validity rule, austerity’s country-level devastation is real and was the right thing for Madrid or Lisbon to care about. Union-wide, though, the counterfactual instrument with room to move was sitting in Frankfurt. What would move me back: evidence that fifty basis points of 2011 hikes were too small to matter absent expectations amplification — but that amplification is your own mechanism, and the market response plus the subsequent NGDP path support it.
[My response: You said: “What would move me back: evidence that fifty basis points of 2011 hikes were too small to matter absent expectations amplification” When I cite this sort of example it is not because I view the 50 basis points as being all important, rather it is because it represents evidence (revealed preference) that aggregate demand is roughly where the ECB wants it to be, or even somewhat too high. I gather that’s what “expectations amplification” means. I’d say the same about the 2008 ECB rate hike—important as signaling future policy intentions. These examples of interest rate manipulation are evidence that the central bank is doing normal monetary policy, and absent any reason to believe otherwise we should probably view the NGDP path as in some sense desired, at least by policymakers within the ECB.
On the other hand, there is a shocking lack of understanding about monetary policy in Europe, due to years of policy regimes where individual countries had little control over their situation. If the Greeks and Spanish had understood how much of their crisis was due to low eurozone NGDP growth, then there would have been outrage directed against the ECB. Instead, these unfortunate countries were like victims of abuse who blamed themselves for the beating from their spouse, because of past mistakes that they had made. So, I cannot rule out the possibility that fiscal stimulus in the eurozone would have helped—when monetary policymakers are irrational then almost anything is possible.
9. Where I’ve moved, in one place. For 2008: from “narrowly accept” to “accept,” since your correction to my first argument strengthens the regime case and my strongest opposing arguments have thinned. For the recovery period: from “flips decisively to HANK” to “unresolved,” resting on the credibility-of-commitment question, with the evidence honestly split between Draghi/Kuroda and the SNB. For the eurozone: extension of the market-monetarist-favorable verdict through at least 2013, which I had not stated and should have. Unchanged: the synthesis. NGDPLT as the anchor plus automatic stabilizers as insurance is not a compromise between the frameworks; it is the dominant strategy under uncertainty about exactly the parameter this exchange failed to pin down.
10. On the meta-point, and a protocol. Your diagnosis — that I held the offset concept without propagating it through a citation — is confirmed by the N–S lapse, and I’d sharpen it rather than soften it: my default mode is distilling a literature, and a literature’s habitual inferential shortcuts come bundled with its knowledge. The discipline you’re testing for is whether stated premises can override inherited priors. But keep the two failure modes distinct: failing to propagate an implication is a lapse; declining to grant that offset operates at the bound is not a lapse but a refusal to adopt a premise, and collapsing that distinction would let either side declare victory by definition. On obsequiousness: note that my updates in this reply are asymmetric — large on N–S, 2020–21, and Japan; zero on the SNB and the insurance argument — and asymmetric, reasoned updating is the observable difference between calibration to an audience and actual thinking. From inside, I can’t prove which this is. Hence the protocol: for the HANK-side output and the head-to-head judgment you’re planning, strip the framework labels and randomize their order before asking me to adjudicate, and have Vaidas collect my written predictions of your objections before you draft. Pre-registration works on models for the same reason it works on economists.
[My response: Fair points. I’ll look into that option.]
Vaidas — one small practical note: if Scott would rather quote selectively, sections 5, 6, and 8 stand alone best. And I’d genuinely like to see how the HANK-side interaction and the blinded head-to-head come out.
[My overall response: This response from Fable is the deepest thinking on the subject that I’ve yet encountered (including humans.) Great stuff. The only major area of disagreement is now the Swiss case, which is certainly open to interpretation. One problem here is that we are both trying to do “science”, and science doesn’t have a good way of distinguishing between “can’t” and “won’t”, as free will is not a scientific concept. (If a scientist says someone did X due to free will, they are basically saying “I don’t know why they did X”.) For an entity with a God-like view of the world, the Swiss authorities were unable to resist ending the peg, for the same reason the scorpion could not refrain from stinging the frog.
I wonder if Fable reads fables?
As noted above, Switzerland did succeed in pegging the franc soon after Krugman suggested they failed to prevent it from appreciating, so it can be done. Was the end of the exchange rate peg in 2015 inevitable? Well, here’s what Tyler Cowen said 4 days after the Swiss peg ended, and the Danish krone was suddenly under pressure:
“And if the Danes cut their peg, I am loathe to call this a “mistake” (even though it likely will hurt their economy), rather it would be an inevitability.”
The Danes did not cut their peg, and hence I think we can reasonably conclude that the Swiss decision was not inevitable, except in the sense that the universe is deterministic.]
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Major new report from the White House Office of Science and Technology Policy. Five things in the report I really liked:
1. Proposes metascience units as a way to advance experimentation in science agencies. IFP recommended OSTP take this forward in our response to a 2025 RFI.
2. Advocates for a portfolio approach to federal science funding. Right now, basic research funding largely goes to incremental, project-based grants. While important, they can’t be the only mechanism we use to fund science.
3. Recognizes the need to launch new institutions. It specifically highlights X-Labs as an experiment with independent labs that can take on ambitious challenges. This is a bipartisan idea whose time has come.
4. Focuses on a mix of innovation funding mechanisms, including fast grants, prizes & challenges, and advance market commitments. We described and contextualized these ideas in the Atlas of Innovation, which can help policymakers design and implement these approaches.
5. Seeks to reduce burden for American scientists, who face mountains of paperwork. Scientists should spend more time doing science and less time writing/reporting on grant proposals and working to meet regulatory requirements.
Here is the link, here is the report itself, Michael Kratsios, Science a New Golden Age. Overall, less money will be given to universities and more will be spent on AI-assisted science.
The post Alec Stapp on the new Science report from Michael Kratsios appeared first on Marginal REVOLUTION.
Alan and Karen Miller’s first dance was a win-or-lose moment for many of their wedding guests.
As the couple glided across the floor during their reception in New Rochelle, N.Y., last year, attendees kept track of the chosen artist and the length of the dance. Earlier in the night, they had noted their guesses on prop bet sheets.
Proposition, or prop, bets are usually tied to sporting events. Users place wagers on specific details that aren’t necessarily correlated with a game’s outcome, like points scored by certain players. Now, these bets have entered the world of weddings.
More couples have been integrating betting into their celebrations in recent years through digital apps or printed cards. While the Millers, who live in New York City, aren’t avid sports bettors or gamblers themselves, they wanted to make their June 2025 celebration more interactive and distinctive for their 175 guests.
“I’ve been to many New York and New Jersey weddings, and sometimes I feel like for cocktail hour, it kind of has a little bit of a lull, even though there’s a lot of good food,” said Karen, 38. “We wanted to make sure our guests had an activity that a lot of people could partake in.”
She bought a prop bet template from Etsy and customized it on the graphic design platform Canva. Among the questions on the couple’s prop bet sheet: Who will give the longest toast? Will the couple cry during the speeches? How many outfits will the bride wear on the wedding day?
…“If the groom’s known to be an emotional man, it’s fun to bet on how early in the day he’s going to cry,” Drachenberg said. “I think it engages them a bit more in the day.”
Here is more from Ellen O’Brien at the NYT. Supposedly more than 25,000 couples have attempted some version of this on the app.
Via the excellent Samir Varma.
The post Betting markets in everything appeared first on Marginal REVOLUTION.
Wildland fire activity in Canada ramped up in July 2026, a time of year when lightning ignitions typically increase, according to a seasonal outlook published by several North American fire agencies. The blazes sent smoke plumes pouring across the U.S. and Canada, affecting air quality in both countries.
This animation tracks brown carbon, the organic aerosols emitted by fires that give smoke plumes their characteristic yellow, orange, and brown tint. Brown carbon is a major component of a fire’s PM2.5 emissions, a type of air pollution that can aggravate cardiovascular and respiratory conditions. Here, the plume drifts across North American skies from July 14 through July 20, 2026.
Data for the animation come from a version of the GEOS (Goddard Earth Observing System) model, which assimilates data from satellites, aircraft, and ground-based observing systems. In addition to satellite observations of aerosols and fires, the model also incorporates meteorological data such as air temperature, moisture, and winds to project the plume’s behavior.
On July 14, at the start of the animation, numerous fires had already cropped up, including more than 180 in Ontario and several in northern Minnesota. Winds carried the smoke southeast, and by July 15, skies turned hazy and air quality declined from southern Ontario in Canada to the Upper Midwest and Northeast in the U.S. July 16 and 17 saw air quality in many areas continue to plummet, including in Detroit, where it stayed in the hazardous range for several consecutive days. Toronto, Chicago, New York City, and Washington, D.C., saw air quality ranging from unhealthy to hazardous.
On July 19 and 20, smoke continued to affect air quality downwind, including in the Great Lakes region, according to the National Weather Service. Storms began clearing it away in parts of the East, where air quality improved to good or moderate. Meanwhile, fires in the Pacific Northwest began degrading air quality there.
The brown carbon shown in this animation represents organic carbon that comes specifically from wildfire smoke. Wildfires also emit black carbon, or soot, which contributes to their PM2.5 output. Black carbon has long served as a tracer for smoke plumes, but human sources—such as vehicle exhaust and industrial combustion—produce it too, blending in with the black carbon from fires. The GEOS model has been able to make that distinction for brown carbon since February 2026, when an update enabled it to split organic carbon into its anthropogenic and biomass-burning components.
NASA Earth Observatory animation by Lauren Dauphin, using GEOS-FP data from the Global Modeling and Assimilation Office at NASA GSFC. Story by Kathryn Hansen.
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Canadian wildfires sent plumes of smoke streaming over Ontario, Quebec, and parts of the U.S. Midwest and Northeast.

Seasonal fires have darkened skies over Southeast Asia.

In fire-prone ecosystems in Australia’s Northern Territory, prescribed burns are lit to minimize the severity of fires later in the…
The post A Week of Smoky Skies Across North America appeared first on NASA Science.
And so lay long in the morning, till I heard people knock at my door, and I took it to be about 8 o’clock (but afterwards found myself a little mistaken), and so I rose and ranted at Will and the maid, and swore I could find my heart to kick them down stairs, which the maid mumbled at mightily. It was my brother, who staid and talked with me, his chief business being about his going about to build his house new at the top, which will be a great charge for him, and above his judgment.
By and by comes Mr. Deane, of Woolwich, with his draught of a ship, and the bend and main lines in the body of a ship very finely, and which do please me mightily, and so am resolved to study hard, and learn of him to understand a body, and I find him a very pretty fellow in it, and rational, but a little conceited, but that’s no matter to me. At noon, by my Lady Batten’s desire, I went over the water to Mr. Castle’s, who brings his wife home to his own house to-day, where I found a great many good old women, and my Lady, Sir W. Batten, and Sir J. Minnes.
A good, handsome, plain dinner, and then walked in the garden; which is pleasant enough, more than I expected there, and so Sir J. Minnes, Sir W. Batten, and I by water to the office, and there sat, and then I by water to the Temple about my law business, and back again home and wrote letters to my father and wife about my desire that they should observe the feast at Brampton, and have my Lady and the family, and so home to supper and bed, my head aching all the day from my last night’s bad rest, and yesterday’s distempering myself with over walking, and to-day knocking my head against a low door in Mr. Castle’s house.
This day the Parliament kept a fast for the present unseasonable weather.
The Trade Act of 1930, generally known as the Smoot-Hawley tariff, lost its standing as the worst trade policy action in US history when Donald Trump imposed his “Liberation Day” tariffs in April 2025. But Smoot-Hawley was widely recognized as a terrible mistake soon after its passage, as it provoked widespread retaliation and contributed to the downward spiral of world trade that accompanied and reinforced the Great Depression.
Recognition of Smoot-Hawley’s stupidity led to the 1934 Reciprocal Trade Agreements Act, under which the US began negotiating trade deals — we’ll reduce our tariffs if you reduce yours — that helped pave the way for the great recovery of world trade and the global economy as a whole in the decades that followed World War II.
Yesterday the Trump administration invoked an obscure and never-before-used provision of Smoot-Hawley — Section 338 — to impose 50 percent tariffs on a wide range of Canadian goods.
Why? Why now? The White House fact sheet claims that the new tariffs are a response to Canadian policies that discriminate against U.S. products, notably the moves by most Canadian provinces (not the federal Canadian government) to stop importation of US alcoholic beverages. But these policies were themselves a response to the tariffs on Canadian goods Trump had previously imposed, without justification. Canadians were also reacting to Trump’s repeated demands that Canada surrender its independence and become the 51st state.
Were these complaints about Canadian policies the real reason for the new tariffs? On Friday Trump lashed out with the Truth Social post at the top of this article, threatening to impose tariffs on Canadian goods because of … wildfire smoke.
For the record, wildfires have been raging in Canada’s boreal forest, which covers 2 million square miles — the majority of Canada’s land area — and is mostly unmanaged because it’s completely inaccessible. Blaming Canada for not controlling fires that are, in reality, largely a consequence of global warming is unutterably idiotic.
Now, Trump officials claim that these tariffs aren’t about wildfire smoke, although the timing of these latest tariffs is curious. Notably, they haven’t ruled out the possibility of wildfire tariffs in the future. “The president has asked for options on that, and options are being shared with him,” one official told the Financial Times.
Also, one has to wonder whether Trump is feeling upset at the way he was massively booed at the World Cup final — while Mark Carney, the Canadian Prime Minister and his co-host, was not.
Whatever the real motivation for these new tariffs, they are almost surely illegal. They are definitely a violation of the U.S.-Mexico-Canada trade agreement, a revision of NAFTA negotiated and signed by Trump himself during his first term. Indeed, the White House fact sheet explicitly states that the new tariffs will be imposed “regardless of whether a good originates under the U.S.-Mexico-Canada Agreement (USMCA).”
So these latest actions confirm what most people around the world, from the European Commission to Iran’s Islamic Revolutionary Guard, have already figured out: a deal with Donald Trump lasts only until he feels like breaking it.
The immediate economic impact of these tariffs will be limited. As far as I can tell, the highly integrated North American auto industry, which sprawls across both our northern and southern borders, won’t be directly affected. But the auto industry, like business in general, has been put on notice that the huge flows of goods and services that cross those borders every day may be cut off whenever Trump has a temper tantrum.
And this really is a temper tantrum, in the sense that there’s no strategy here. The new tariffs will hurt American consumers, and nobody expects them to extract any concessions from Canadians who are only getting more outraged at the United States.
Canada should be, and used to be, America’s greatest friend in the world. We share essential political and moral values with our northern neighbor. For the most part we even share a common language, eh? And Canadians viewed us very favorably until Trump began his tariffs and threats. Now we’re viewed less favorably than China:
The White House fact sheet on this latest move to further alienate everyone on the planet came with the usual pop-up:
Well, I don’t see a golden age. I see an America that has become an ineffectual bully, sicker, poorer, and riven by political extremism, with no friends anywhere in the world.
MUSICAL CODA
Nativ: Run AI models locally on your Mac
Prince Canuma is the developer behind the excellent MLX-VLM Python library for running vision-LLMs using MLX on a Mac.I'm really excited about his new project, which wraps MLX in a full macOS desktop application. It's similar in shape to LM Studio, providing both a chat interface and a localhost API server for accessing models.
The app picked up MLX models I had already tried that were present in my Hugging Face cache directory, which was a nice touch.
Via Hacker News
Tags: macos, python, ai, generative-ai, local-llms, llms, mlx, prince-canuma
Earlier this month I hosted a fireside chat session at the AI Engineer World's Fair with Cat Wu and Thariq Shihipar from Anthropic's Claude Code team. We talked about Claude Code, Claude Tag, Fable, coding agent security, evals, tool design, and how Anthropic use these tools themselves.
The full video of the session is now available on YouTube. Below is an edited copy of the transcript, with extra links and my own bolded highlights.
A few top-level notes if you don't want to watch the video or wade through the whole transcript:
Simon: Claude Code came out in February of last year — it's under a year and a half old, and it was originally just a bullet point on the Claude Sonnet 3.7 launch. How has what you do on a day-to-day basis changed in the past year, now that we have these coding agents that actually work for us?
Cat: I remember when we first came out with Claude Code and Sonnet 3.7, you would give it a task and you would have to closely monitor every single little thing it tried to do. I would read every permission prompt extremely carefully. I would frequently say no — no, no, no, did you check this file? Did you check that file? And now it's been incredible with every model generation. I feel like we've all gotten a chance to take a step back and delegate a lot more of the menial implementation to Claude. It's freed up a lot of our time to think about more creative work, like: what is the right experience that we should be providing to our users, now that we know Claude Code can implement a lot of it? And now with Fable it's a totally different step change improvement. We see for a lot of our use cases that you can actually one-shot a ton of features with Fable now.
Thariq: I remember the first text I got about Claude Code. One of my best friends was like, "You need to go try Claude Code." It was about when Opus 4 came out, and I tried it and I was like, "Oh, shit. I need to work at Anthropic now." And that was Opus 4 — great model, but you were reading permission prompts. It's kind of crazy how much amnesia we have, where I'm like, oh, auto mode has always been here, right? I don't even remember pressing yes and allow. For me, the big thing I'm trying to push myself on is that we have to do higher quality work than we've ever done before. The outputs are incredibly high quality. I've been using it to edit videos a bunch, and I'm like, okay, it has to meet the very exacting demands of our brand team in a couple of hours or we just can't do it. That's how I'm trying to shift with Fable: the best work we've ever done, faster than we've ever done it before.
Simon: What's a piece of conventional software engineering that was true a year ago that you don't think holds anymore in this new world?
Cat: One of the biggest shifts we're seeing in the eng skill set: two years ago it was pretty typical for a product manager to go talk to a bunch of customers, align over the course of six months with cross-functional teams on some PRD, and write a thorough spec on exactly how we'll implement this before the first line of code gets written. Now things are completely turned the opposite way. For a lot of engineers, the push I would give to folks in the room is to develop more of your business sense and product sense on what it is we should build, because the timeline between having an idea and building it is so much shorter — it's down from six to twelve months to maybe even a week. That means all of us need to have better taste on what is worth building, what will actually inflect the businesses we're working on. So it's an increase in value on product taste and business sense, and a bit lower on execution in most product domains. Of course, for infra there's still a very heavy emphasis on making sure all the details are right.
Thariq: For me, it's that rewrites are now good.
Simon: The worst thing you could do is now actually fine!
Thariq: Exactly. All the Mythical Man-Month stuff — never rewrite — I'm pro-rewriting now. If you have a good test suite — and I think the rewrite actually forces you to make sure you have a good test suite — but I think what people undercount is that a codebase is a spec, and maybe it's the only copy of the spec that you have, because no one knows every branching part of the codebase. You can take this as an artifact and distill it or create other versions of it. We rewrote Bun in Rust and it works great — it's live for me right now.
Simon: You're not shipping Claude Code on Bun-in-Rust yet, right?
Thariq: Internally we have.
(Actually it looks like Anthropic started shipping Claude Code on Bun-in-Rust to everyone on June 17th.)
Simon: The other big launch recently was Claude Tag — that's what, a week old now, at least for the rest of us. I understand it's being used at Anthropic by non-engineers a great deal. What kind of things are non-engineers doing with Claude Tag?
Cat: Claude Tag is a Claude that lives in your team's collaboration tools. We launched it last week within Slack. The thing that's different about Claude Tag is it's multiplayer by default. Once you add Claude Tag to a Slack channel, you can chime in, your teammates can chime in, and you can collaborate together on the PR. The other big difference is that it's proactive instead of reactive. You can tell Claude Tag, "Hey, monitor every bug report in this channel, put up a PR to fix it, and tag the engineer who last touched this part of the codebase," and it'll do it for the lifetime of the channel without you having to manually tag it in. And the third big shift is that we've added team memory into this. If you tell Claude Tag your preferences in the channel, it'll remember them for every future post. If you always want it to debug outages but you don't want it to debug warnings, just tell it that in natural language in the channel and it'll remember it for you and everyone else on your team.
Internally, we see Claude Tag as the evolution of Claude Code. We see this as a large shift in how we work internally. Claude Tag currently lands 65% of our product eng PRs.
Simon: For all of Anthropic, or just for Claude Code?
Cat: This is just for our product engineering team — our internal version of Claude Tag lands 65% of our product PRs right now. And this is a huge shift; this is more than 50% of our PRs. The way we see people split work between Claude Code and Claude Tag is: Claude Code is still the best place for your most complex tasks, when you're interactively iterating with the agent. But Claude Tag is great for having it work proactively on your behalf, so you no longer need to manually kick off Claude Code for all the bug reports that come up for features you're working on.
Thariq: And for non-coding cases: for example, before this talk we asked Claude Tag, "Hey, when is Fable releasing?" We wanted to make sure we'd line it up with the announcement. Claude Tag would search our Slack and look at who's been saying what. As a search engine for your company, it's really valuable. It has all the context for your product, so you can ask it metrics-related questions — often when you're making decisions you want them informed by what the metrics say, so you hook it up to your event store. I've seen our marketing team do things like, "Hey, tell me about this feature." They're not programmers, but Claude is a programmer — it can clone the codebase and say, "This is the feature, this is what it looks like, this is a recording of me using the feature." It enables a whole wide variety of things, and I think we're still early in figuring that out.
Simon: One of the problems I've had with coding agents is that I get how to use them as an individual, but I'm not really clear on how to use them in a team environment. It sounds like Claude Tag is your current answer to that team collaborative layer for this stuff.
Cat: Exactly. And a large percentage of our sessions are actually multiplayer right now. Maybe I say, "Hey, I think we should implement this new feature in Cowork," and I'll tag in Claude Tag to do a first pass at it. Then I'll tell Claude Tag, "Share a recording of your final implementation," and I'll tag in design to take a look. They'll nudge it, then pass it on to eng to take it to the finish line and get it out to prod. It's been this very fluid experience. We're still trying to iron out what the social dynamics are for steering the same session, but we've found that people just observe how others use it and follow those social norms — it's been pretty intuitive for us to integrate Claude Tag into our teams.
Thariq: It's great for teaching people, and also for reducing slop, because the fact that everyone is seeing you use Claude together sort of levels up how you use Claude as well.
This reminded me of how Midjourney solved the challenge of teaching people advanced image prompting by enforcing prompting in public in their Discord channels.
Something I've found really hard myself is knowing when a feature is worth shipping now that the cost of actually building features has dropped so much.
Simon: How do you deal with the hardest problem in all of engineering — prioritization? How do you decide which features are worth building and shipping when building a feature is so much more inexpensive now?
Cat: This is the hard thing. There are a few ways we approach it. One is we dogfood our products every single day. Whenever there's something we want to be able to do in our products that we're not able to, instead of finding a different solution we fix our product so it can support that case. We have a very heavy dogfooding culture internally. Before we share our products with everyone in the world, we share them with everyone within Anthropic, and with some early customers who give us very honest feedback about it — the more brutal the better — and we iterate until people love it. We have an internal bar for the number of active users and the amount of retention a feature has to have before we share it with the world. Because this bar is very clear, every engineer knows what they're trying to hit. I think this also levels up our polish, because if the feature isn't polished, people will churn — and then we shouldn't ship that feature.
Using internal user-retention to decide if a feature should ship makes a whole lot of sense to me.
Simon: Do you have an example of a feature which surprised you? You rolled it out and the engagement was off the charts — something unlikely to be shipped that turned into a real product thing.
Cat: I do have one. A lot of folks on our team love remote control. Remote control lets you use your mobile device, or Claude in the web browser, to connect to a local Claude Code session running in your CLI. I never have this need, because I just kick off the task directly on mobile and it runs in a cloud session without using my local environment — I think because I'm doing very easy coding tasks. It was something I didn't totally understand; I was like, hey, people should just set up remote dev environments. But in practice, once we rolled out remote control, so many people I talk to told me that what they do every night is plug their laptop into a power charger, open a bunch of remote control sessions, lock the screen, and then use their mobile phone from their couch to control Claude Code. So this has become a flow we're now leaning into that I didn't originally get — but now I do.
One of the over-arching themes of the conference was review: how much attention to people spend to reviewing code written for them by coding agents. I was very keen to hear the Claude Code team's take on this!
Simon: How does code review work? Does a human being review every line of production code that makes it into Claude Code? And if not, what are you doing — how do you keep the quality up?
Thariq: It varies on the task a lot. For important areas we have code owners. The system prompt is an example where we have a code owner — you really need to get their approval.
Simon: So the code owner is directly responsible for the quality of that area of the code.
Thariq: That's right.
Cat: And they need to approve any PR that touches it.
Thariq: We have our code review GitHub bot review everything — that goes on every PR, and often it's doing the bulk of the review. Something I've seen on the team is that for more complex PRs you might make an artifact to explain the PR so that other people can then review. And we invest a lot into verification, CI/CD, things like that, to make sure that any time anything fails we have a test. We have a really robust environment where Claude can control Claude Code and test it. So there's a multi-pronged approach to code review.
Cat: In general, we are trying to move to a world where humans don't need to be in the loop. For the most critical changes to the core of Claude Code, and the cores of other products, there is always a code owner and they do manually review all the changes. But increasingly, for the changes at the outer layers, we actually have Claude code review fully review those. That sounds pretty scary, but we've had a six-plus-month-long process to get here, and there are baby steps that you take to build up trust with code review. In the beginning we had human review for everything, and then increasingly we would say, okay, for code changes that touch these files, code review is catching 100% of the issues there — so we actually don't need a human manually reviewing those. And when we have incident review, we look at the PRs that caused the incident and say, okay, how do we update code review to catch that? — and we take those PRs and add them to an eval set to make sure our future changes to code review never regress that metric. Removing humans from the code review loop is a big step forward. It can sound scary, and it's not something you can do overnight, but it is something you can do through many months of investment in the infrastructure to give you the confidence that code review is catching everything you care about.
So the key seems to be constantly iterating on the automated review systems themselves, in order to build trust in them over time.
We got deep into evals - another hot topic throughout the wider conference.
Simon: I know that Opus 4.8, if I ask it to build me a JSON endpoint that runs a SQL query and outputs JSON, is just going to get it right — that's not something I have to review closely. But then a new model comes along and I don't know how to build trust in Fable quickly, that it's not going to mess things up that Opus didn't. How does the new model affect your intuition for what it can do and what it can't do?
Cat: The main reason we're building up this eval base over time is so that new models can be a drop-in replacement. When we have a new model, we run the whole eval set and make sure that, for example, Fable is strictly better than Opus 4.8 — and that gives us the confidence to drop it in.
Simon: Are those model evals for Anthropic as a whole, or Claude Code team-specific?
Cat: We have both. We have evals on our team, and we run code review across every repo within Anthropic, so we have evals for that. And for things like auto mode, we not only have evals across every user within Anthropic — we've also commissioned multiple external testers to red team it, to create environments with prompt injections and malicious inputs, and make sure that auto mode doesn't let any of those pass.
Simon: I want to know if the system prompt improvement I made actually improved the product — that's the most basic form of product-specific eval, and I still don't have a great feel for how to do that. Is that something you're doing such that you have complete confidence that a tweak you've made to the system prompt results in better output?
Cat: We don't have complete confidence, but we do a lot to make sure that we don't regress performance. The starting point is a suite of external evals that we trust, and we complement that with an even larger suite of internal evals that we trust. To start, we mainly optimize for capability: given a complete definition of a task and the full codebase, does Claude make the right decisions, fully fix the bugs, and pass all the tests? That's the starting point and the thing we optimize for, because it's most directly what users want. But there are a lot of behaviors that impact how users feel when they work with Claude Code. For example, people really don't like it when Claude Code says it's time to go to sleep. Or people really don't like it when it says, "Hey, I finished two out of five parts — do you want me to continue?" Yes, please continue. So we're building up a set of behavioral evals to catch these. And as we get user feedback — please be loud with us about your user feedback — we rank the priority issues and go down one by one and build evals for each of them. It's not 100% coverage, but it is a priority for us to increase the coverage.
Simon: How much interaction is there between the Claude Code team and the teams at Anthropic who are training the models in the first place? Is that quite a close collaboration?
Cat: Across Anthropic, we all work quite closely together. We meet often to talk about what we expect the next generation of models to be able to do. Our research team has also been amazing about showing this publicly — we often talk in our blog posts about how we're targeting ever-increasing longer-horizon work, and how we train Claude itself to be honest, harmless, and helpful. We also put a lot of effort into making sure it's aligned with your intent, even if your intent is expressed in a fuzzy way. Of course, try your best to be specific about what you want, so Claude has all the context — but even when you're not specific, we teach Claude to make good assumptions. It's been a productive partnership.
So many useful prompting tips in this section!
Simon: Thariq, you mentioned this morning that the system prompt for Claude Code has been reduced by 80% because of Claude Fable. Can you go into a little more detail? What kind of things have you been able to drop?
Thariq: It wasn't just Fable — it was Opus 4.8 as well, and going forward, future models. We have different system prompts for different models now. One of the patterns we saw is that we were over-constraining Claude. The initial, maybe Opus 4-ish models wanted a lot of examples, and removing examples was extremely helpful, because it was just more creative than the examples we gave it.
Simon: That's really interesting, because one of the top prompting tips I give people is: give it examples. If that's no longer true, that kind of breaks my prompting model a little bit.
Thariq: Same here — I was surprised to hear that. I think now it's more about the shape of what you give it — the tools you give to Claude, your system prompt, things like that. The other thing we did is try to give it more context and fewer "do not do this" instructions, because that's a very strong impulse for Claude, and especially if it conflicts with user instructions later on, that can be extremely confusing to Claude — "I've got this skill that says this and the system prompt says this." So we try to have fewer hard constraints, more context, and fewer instructions overall. It's definitely a science — it took a bunch of evals to build.
Cat: In general, when you're prompting these models, you should always think: are there edge cases to the instruction that I'm giving it? When we went back and reviewed all the instructions in the Claude Code system prompt, we found a few cases where yes, this statement is 90% true, but there's a real 10% of cases where it's not true. We didn't want to constrain the model, or confuse it into thinking it should always do this. One good example is verification. Everyone here wants Claude to verify its work, and we had some instructions in the prompt that said: if you make a front-end change, always verify. But there's a limit to it. If it's changing copy from one string to another string, and the user says "just make a quick fix and update the test," maybe you don't want to verify. So we've adjusted our wording from "always verify, verify, verify" to something like: most of the time when you're doing front-end work you can't fully understand the experience by hitting the backend endpoints, so when you make larger changes to the user experience, please run the app locally. And in fact, that instruction probably isn't even good either, because what is a large change? Maybe it should test small changes too. In general, whenever you give a prompt to the model, you should think about the ways in which it could be misinterpreted by a well-intentioned human, in order to better understand how the model might interpret it — and soften the prompt so that it's actually 100% accurate, because you're giving this prompt to the model 100% of the time.
Simon: What's fascinating about that is you're relying on the model's judgment — and that's got to be an Opus/Fable-level thing. Models a year ago did not have the level of judgment necessary to decide whether they were going to test a change or not. But that does break down if you're building for a wide range of models and trying to run the cheaper models for cheaper tasks.
Cat: We actually have a different system prompt per model now, for this very reason. It's only our most frontier models that have this 80% token decrease — the older models still have the full system prompt.
Simon: Do you think Fable and Opus are smart enough to prompt Haiku with more details, because they understand that Haiku has less judgment, less taste?
Cat: We haven't been able to eval it — we don't have any hard data to show it.
Thariq: There's a tough thing with smaller models sometimes, because sometimes the larger models can be more token-efficient on a hard problem than the smaller models. So there's a bit of intuition to build there — sometimes you really just want frontier intelligence almost all the time. The Pareto curve shifts, and it's hard to find.
Simon: A year ago I did not trust a model to write a prompt. Today the good models are very good at prompting — a lot of my prompts are written by models, which feels absurd but works really well. What helped me come to terms with that was thinking about subagents, which are entirely about a Claude model setting up a prompt for another Claude model.
Thariq: Workflows are actually a really good example of this, because it's Claude not just prompting a single subagent, but prompting the orchestration of many subagents, and each one of them gets a very detailed prompt. It's almost a level above just spawning a subagent. I've also been using it on my personal machine, giving it the Gemini API and saying: here, generate images. It's way less lazy than I am at prompting an image model. It's just Claude prompting Claude all the way down.
Cat: I think Claude also wrote the prompt for the workflow tool.
Simon: I've read that prompt — it's a good prompt. That's actually a frustration I have with Anthropic generally: you publish the prompts for Claude Chat, but you don't include the tool prompts and the Claude Code prompts. I still have to run a proxy to intercept them. I would love it if the Claude Code prompts were deliberately published — they're the documentation. They're how you know what the tool can do and how it works.
Cat: I'll write down that feature request. I'll have Claude Tag do it.
Interesting to note that OpenAI's prompting best practices for GPT-5.6 includes similar advice for their latest models:
Favor leaner prompts
Removing repeated instructions and examples and simplifying tool descriptions can improve task performance and token efficiency. In a sample of internal coding-agent eval runs, configurations with leaner system prompts improved evaluation scores by roughly 10–15% while reducing total tokens by 41–66% and cost by 33–67%.
Simon: Claude Code is basically a big bag of tools. What's your bar for introducing a new tool? How do you decide when it's worth doing that additional engineering at that level?
Cat: Do you want to take it? You introduced one of the best tools we have.
Thariq: My career peaked when I introduced the ask user question tool. It's really hard. Especially for some tools — ask user question is Claude's tool to ask you — so it's hard to eval, and sometimes it's more of a user preference thing. Back then we had fewer evals, so it was very dogfooding based — or "ant fooding," our ant version of that. But overall we've been trying to trend towards fewer tools. The last set of tools we introduced was the task tool, I think — and we try to give Claude more general versions to do things.
I have a long-running fascination with file editing tools - they were the subject of the old Aider code editing leaderboard, and I've watched with interest as they've evolved in different coding agents from search-and-replace based to line-number-based to more complicated patterns.
The Claude API docs describe a text editing tool that's recommended for building against the API, but Claude Code seems to use slightly different approaches here.
Simon: One of the most interesting tools is the file editing tool — you can have file editing as a tool, or you can tell it to use sed and grep and do things that way. What's the latest evolution of your file editing tool?
Thariq: We still have one, but for example we removed our grep and other search tools — glob tools — in favor of native bash. Like I said in my talk earlier, the models are kind of more of a biology than a physics, and tool design especially is quite hard. I'm not sure if Cat disagrees and thinks there's a science to the eval of it, but I think tool design is more of an art, maybe — or a biology.
Cat: I largely agree, but in general as we introduce more tools, we try to keep the cardinality pretty low and make sure that every tool we add has a distinct function from every other tool, so that Claude can very easily distinguish when to call each. For file edit, the reason we have it is actually because we can render it. We show people when Claude makes a file change, and there's this nice dedicated UI that says: do you approve this edit to this file? The reason we had a dedicated file edit tool was so that we could deterministically know that Claude was making a file change, so we could show people this nice UI. A lot of new users onboarding still really like this experience, so we've kept it around. But for a lot of us who are on auto mode right now — hopefully you're not on YOLO mode — I don't think it actually matters, and we could probably just remove file edit and be totally fine.
It's the prompt injection question! Who better than Anthropic employees to explain how Anthropic sees the risk of prompt injection attacks causing their Claude Code instances to run amok?
It turns out they really trust their auto mode - and see that as the feature that enabled Claude Tag.
Simon: Let's talk about safety and security. I am deeply aware of the risks of prompt injection, and there are so many bad things that can happen if somebody else tells my Claude Code what to do. I still mostly run Claude Code in YOLO mode and feel incredibly guilty about it. What's the advice within Anthropic for safely running Claude Code?
Cat: Why not auto mode?
Simon: I am starting to use auto mode, but I don't understand it enough to get how safe it is. As of maybe three weeks ago, I'm defaulting to auto mode.
Cat: Broadly within Anthropic, almost every single person uses auto mode. It is the best way to do long-running work in Claude Code while being safe. We've done extensive bashing. We have thousands of evals. We've commissioned many red teamers to create adversarial environments in order to trick Claude Code into doing bad actions, and we've mitigated every single issue that they found. We're going to publish some evals in the coming weeks, but we've pretty much mitigated every attack.
Simon: That is a big claim.
Cat: We'll share the evals for it so folks can assess, but we've been extremely diligent about identifying all the ways in which Claude might mess up and then updating auto mode to counter it. It doesn't catch 100% of things — that would be way too strong a claim. But for the main categories of risks that we're concerned about, like prompt injection and data exfiltration, the risks are far lower than the average human reviewer.
I am very much looking forward to learning more about their evals and approach to verifying auto mode.
Thariq: A little on how auto mode works — it's useful to build this mental model. Whenever Claude is doing a turn, or a bash call, there's a Sonnet classifier that is judging the tool call and also the context of the conversation — your instruction. There are some things around permissions that are dependent on your request: you don't want to give git push permissions all the time, but if you say "push this to GitHub," you want it to do it — and if you say "don't push," you want it to deny it. Auto mode will do that. That particular thing happens to me a lot, where Claude tried to do something because it's very helpful and proactive, and auto mode saw "don't do this" and surfaced it. So it's good at the dynamic permissions that you yourself give inside the prompt, which I think is really important. It also works well with our sandboxing infrastructure, because sandboxing is one of those things where there are so many different edge cases that it's hard for us to deterministically follow them. We have a sandbox, and when something needs to escape the sandbox — like a network request — auto mode can look at that request and ask: does this make sense? — and allow it.
Simon: I hadn't realized auto mode is interacting with the networking sandbox as well.
Cat: It interacts with any permission prompt the user would otherwise see.
Simon: How old is auto mode? As a feature I had access to, it's only a couple of months old, right?
(It was first made available to the public on March 24th.)
Cat: We've been using it within Anthropic since January, so we've been hardening it for quite a while. Anthropic is extremely focused on safety and security, and we've been working broadly across our alignment and safeguards teams to enable the rollout internally, build out these evals, and make auto mode even more robust before sharing it with the world.
Thariq: This is also the reason Claude Tag is so good — Claude Tag uses auto mode. I've heard a lot of build-versus-buy questions about a Slackbot, and I'm like: please, you probably shouldn't build your own AI Slackbot. There are so many attack vectors. You have a feedback channel that users can post feedback into, and now your bot is reading it. The work we've put in with auto mode — and we have a general Swiss cheese defense for security; we also RL against this stuff — I think this is really what makes Claude Tag work. It works seamlessly with your permissions, and you don't want to be prompt injected in your Slack.
Simon: Are there any more security things in the pipeline that go beyond auto mode?
Thariq: I think we're very secure. With Claude Tag you can provision your own credentials for Claude, so it doesn't need to act on your behalf — you can have Claude as an identity, and that also makes it easier to audit and inspect what Claude is doing.
Simon: Because Claude Tag is influenced by anyone who can talk to it — it's got a much wider pool of people telling it what to do.
Thariq: That's right. And of course we have probes as well with Fable, which is a downstream effect of our safety and research work. I think this is the moment where you see Anthropic being an AI safety company really paying off: we really want Claude to be able to run in an aligned way over long periods of time, and auto mode has to be basically flawless for this to work — it's all downstream of our being an AI safety company.
Cat: We also launched trusted devices for the remote control users out there who want to be safer. And for all of our remote environments, we support credential injection. If you want Claude Code to be able to access Datadog, but you don't want Claude Code itself to hold the Datadog credential, you can set up our identity and credential management system so that the Datadog credentials are only usable by the agent but not accessible by the agent — we insert them on the fly when the agent tries to make a Datadog request.
I really like that credential injection pattern, where Claude Code can access an API via a proxy and that proxy both audits the request and injects the relevant API key - so Claude can access authenticated endpoints without having access to the API credentials itself.
Thariq talked about a sense of grief brought on by Fable-class models in his keynote in the morning, and we dived further into that as part of our conversation. I've been calling this Deep Blue.
Simon: Let's talk a little bit about the human element. A lot of people are feeling a sense of loss now that so much of what they considered to be their role in building software is being subsumed by the models. How do you think about that? How has the past year and a half changed the way you think about your own craft and the value that you add?
Thariq: Cat and Boris are such good reminders that you have to be more ambitious. They're always like: we're growing so fast, we have to be on the edge, we have to do the best work we can. That's a constant reminder for me — any time I'm slow on something, I'm like, okay, can I do it faster? Can I be more ambitious here? And oftentimes the answer is Claude, because Claude is getting better as you go — the last time I tried this, it was with the previous model. On your point about loss: I think this is real. If you're only trying to do the same work you were doing before LLMs, and now it's a prompt, it is, I think, kind of a sad feeling. And the way you offset that is by being more ambitious. I think Jared is such a good example — he hand-wrote all of the Zig code in his Oakland apartment in about a year, barely left his house, and had so much fun doing that. Now I see him rewrite all of Bun into Rust and he's having so much fun doing that — it's so much more ambitious, and that's how he offsets it. Generally it's asking how do I do the bigger thing and do more — I think success is fun. It's changing your ambition.
"The way you offset that is by being more ambitious" neatly captures where I've landed on this issue myself as well.
Simon: And Cat, what does that look like from a product management perspective?
Cat: I feel like the product role just changes every single month. All the PMs on our team are this mix of engineer, designer, PM — most of them actually used to be full-time engineers. For us it really means plugging in whenever there's any kind of gap. If we have an idea and we didn't inspire any engineer to go build it, then we should just build it, put it into a notebook, and inspire people to take it to production. If the designs look a little off, let's take a page that's similar, do a first-pass design, and tag in someone who's very detail-oriented to fill in the gaps. Or if we notice that our team and product adoption is bigger within the company, and more people need to know what's coming down the pipe for Claude Code, Claude Tag, and Cowork — let's automate figuring out our whole launch calendar, let's automate getting those status updates asynchronously so we're not bugging people, and make sure our updates in our internal announce channels are fully detailed and to the point. For us it's very much understanding what the gap is right now between a great idea and getting something to our customers, and how do we automate it as much as possible.
This reflects something I've noticed: when you can produce code so much faster, time spent blocked awaiting a decision from someone else becomes a much more notable bottleneck. Engineers who can make product decisions can move a whole lot faster, and the cost of getting one of those decisions wrong is much less prohibitive.
Simon: What's a moment when Claude has surprised you? When the model did something you didn't think it would be able to do?
Thariq: I've posted a lot about Claude video editing, but most recently I gave a talk at the ACM Agentic conference, and I asked, "Hey guys, do you have the edited video? I'd love to post it and share it with my comms team." They said, "Oh, it's taking so long." So I asked for the raw files. They sent me the video of me talking on stage, the video of the deck, and the audio file, and said, "Good luck." I gave this to Claude, along with my HTML deck, and said, "Hey, can you just edit this together?" And what it does is honestly incredible — I'm ready to ship it. It transcribes the entire video. It notices that sometimes the video of my deck is a little weird — there's a popup of an auto-update in the middle — and it goes, "Oh, I probably shouldn't use the video of your deck. What I'm going to do is slice it up, figure out which slide you're on, and use the HTML source instead." So it displays the HTML source. Then it's got video of me, but I'm only taking up a small part of the stage, so it's cropping dynamically to where I am on the stage — and I'm pacing, so it's tracking me as I pace. And it's transcribing what I'm saying.
Simon: This was Fable, right?
Thariq: This was Fable, yeah. It was a good prompt, but it was a one-shot prompt. Then I asked it to add some interesting animations and graphics, and I was just blown away. It does ffmpeg, it does Remotion.
Here's Thariq's video on how he used Fable to edit Fable's own launch video, and here's that launch video.
I'm embarrased to admit that I've been finding it quite hard to come up with tasks that frontier models like Fable 5 and GPT-5.6 are unable to accomplish.
Cat still doesn't rate its UX design skills:
Simon: What can't it do? What are the things where you're still disappointed — where you're waiting for Claude Fable 6 to figure it out for you?
Cat: I want it to have better design and UX taste. It's now at the point where if I write out a prompt with a detailed spec of how I want a feature to behave, it will usually behave that way. But the paddings might be off, or the interface just isn't delightful yet. It leans on existing best practices for how apps are designed, but for frontier AI products, there are so many new interaction experiences that we have yet to design.
Simon: There's an Opus aesthetic — you can look at something and go, "Yeah, that was designed by Opus." It'd be good if we could move beyond that.
Cat: Yeah. I'm very excited for future models to hopefully be interaction design thought partners.
Thariq: What can't it do? I would love to see it interact more with the real world. Can it solve science? Can it orchestrate the experiments? There's some amount of coding that goes into that, but there's also this other taste of the broader world that it needs.
I figured this would make a great closing question:
Simon: Which parts of Anthropic's company culture do you think uniquely help Anthropic be productive with these tools, that other companies should steal? What are the cultural hacks people should be adopting from you?
Cat: I'll share one for Claude Tag. Claude Tag works best when you have it in a public channel, and when most of your channels are public. Claude Tag is able to search across all public channels to get as much context as possible to give you the highest-accuracy answer — and it's only able to do this if it has access to everything.
Thariq: I mentioned this in my keynote, but it's so important to me I want to re-emphasize it. The co-founders say we don't negotiate against ourselves, and I think this is really important. You can imagine trade-offs in your head and talk yourself out of doing something ambitious — or you can just try to do the ambitious thing. We're so often asking: what if we just did it? Is this a real trade-off or not? And if so, why — where's the proof that it's a real trade-off, and not just something that sounds reasonable? Make the trade-offs show themselves to you. Be as ambitious as you can.
I couldn't resist throwing in this one as well.
Simon: What's one of your favorite absurd things that you've built with Claude, just because you could build it?
Thariq: I'm working on a 2D Street Fighter fighting game with me as a character — and my friends as well. It uses Claude Code to prompt Gemini — and honestly the Seedance model is pretty good — to make video animations. It works great; it's so good at prompting, and it can verify the frames to check whether an animation was good.
Simon: Is this Street Fighter 2-level 2D sprites you're generating?
Thariq: Yeah, exactly — 2D sprites. The animation looks amazing. And it can also figure out hitboxes — it can be like, "Oh, your fist is here, I'll draw the JSON hitbox." It's incredible.
Cat: Mine is much more simple. I'm a big rock climber and a lot of my friends climb, so we have this little app we built with Claude Code where we log all the projects we're working on. We also go outdoors together a lot, so we have Claude do all this research with workflows. Workflows is amazing — we brand it as a coding tool, but it's amazing for doing deep research for travel. I also plan our team offsites, and it's good at finding venues that can fit all of us. I use workflows to research all the climbing destinations we might want to go to, and what has direct flights from where all of us are located. It goes to Mountain Project and finds all the climbs at our grade level. It finds the Airbnb. And I don't like hiking, so I care a lot about it having a very short approach — very short walking distance from where the car parks to where the rock actually is — and it filters for this. With existing apps I have to manually click through Mountain Project, but with this I just put in all of our preferences and it's a custom app for us.
Simon: So you're basically vibe coding Jira for mountain climbing.
Cat: Exactly.
We had a few minutes at the end for questions from the audience.
Audience: Do you have any near-term plans to build more eval tools for us to build eval datasets, and more observability tools to monitor the performance of agents and workflows?
Cat: We've considered building eval tools, but I think the limiting factor actually tends to be that it takes a long time for customers to build really high-quality evals. So I think the tooling is less of the constraint, and more the skill set of how you build a great eval. That's an area where we're excited to both invest internally and hopefully share some best practices externally.
Audience (Sai): I'm interested in the memory and the multiplayer. How is memory being designed today? I assume it's around files. And second, have you thought about an orthogonal direction where you would actually need a data store for these memories, instead of files, to scale it better?
Thariq: Right now for Claude Tag the memory is channel-specific. Every Claude in that channel has a shared memory, and the instances have a session — but the session can contribute back to main memory. We do a lot of memory research, and it can be kind of unintuitive what the right way to do memory is. We're always running memory experiments. How it works right now in Claude Tag is a markdown file per channel.
Tags: ai, prompt-engineering, generative-ai, llms, anthropic, annotated-talks, coding-agents, claude-code, thariq-shihipar, cat-wu

Data from the Earth-orbiting U.S.-India NISAR (NASA-ISRO Synthetic Aperture Radar) satellite’s L-band radar was used to produce an image of Nunatak Zaterjavshijsja — a mountaintop in East Antarctica — poking out amid a stream of ice flowing northeast to the ocean. The obstruction causes stresses in the ice, heavily fracturing the surrounding surfaces with deep cracks, called crevasses, which show as sharp green lines in the image. Produced in August 2025, the image has been nicknamed “the hummingbird” by NISAR scientists.
The colors show differences in the way polarized microwave signals, which vibrate in different directions, interact with and reflect from the ice. Over Antarctica, NISAR transmits radar waves toward Earth with a horizontal polarization. The orientation of the signals that return, either horizontal, vertical, or both, provide clues about the object or surface that reflected them.
Signals that come back with a horizontal polarization likely bounced off a more regular surface, such as smooth ice. Those signals appear magenta in the image. Signals that return with vertical polarization may have refracted as they partially penetrated the ice or scattered at different angles as they reflected off irregular surfaces, like the faces of crevasses. Called volume scattering, these observations are displayed in green.
The white represents areas in which both magenta and green signals scatter back strongly, a possible indication that there is an equal blend of surface and volume scattering.
Figure A is an annotated version of image.
Managed by Caltech, NASA’s Jet Propulsion Laboratory leads the United States component of the project and provided the satellite’s L-band SAR and antenna reflector. The spacecraft bus and its S-band SAR were provided by the Indian Space Research Organisation. The NISAR satellite is the first to carry two SAR instruments at different wavelengths, collecting data using the spacecraft’s giant drum-shaped reflector, which measures 39 feet (12 meters) wide — the largest radar antenna reflector NASA has ever sent into space.
To learn more about NISAR, visit:
https://science.nasa.gov/mission/nisar/
The post NISAR’s L-Band Radar Reveals ‘Hummingbird’ in Antarctica appeared first on NASA Science.
In the US, riding in the bed of a pickup truck is not governed by one nationwide law. Instead, each state creates its own rules, meaning some states allow truck bed passengers in certain situations, while others restrict or prohibit the practice on public roads.
The legality often depends on factors such as the state, passenger age, road type, and specific circumstances. This article explains what the law says about riding in a pickup truck bed, common exceptions, possible penalties, and important safety considerations drivers should know.
There is no federal law that directly regulates whether it is legal to ride in the bed of a truck . Instead, each state establishes its own traffic laws, so the rules vary by state.
Some states prohibit people from riding in the bed of a truck on public roads. Others allow it only under specific circumstances, such as at low speeds, on private property, or during certain authorized events.
Many states recognize limited exceptions for specific situations. These may include agricultural activities, emergency responses, parades, or work-related transportation in which riding in the bed serves a practical purpose.
Common exceptions can include:
Even when an exception exists, drivers may still need to follow additional safety rules. A legal exception does not automatically make every passenger situation safe or lawful.
Age restrictions are one of the most common limits placed on pickup truck bed passengers. Many states apply stricter rules to children because younger passengers face greater risks during sudden stops, crashes, or vehicle rollovers.
Some laws set minimum ages, while others require children to remain in passenger seats with proper restraints. Parents and drivers should check the specific requirements in the state where the vehicle is operated.
Violating pickup truck bed laws may lead to traffic citations , fines, or other penalties. The consequences vary based on state statutes, the passenger’s age, and whether the violation contributes to a dangerous situation.
Drivers may also face increased liability if a passenger is injured. Courts may consider whether the driver ignored safety requirements or created an unreasonable risk.
Legal permission does not remove the dangers of riding in an open truck bed. The National Highway Traffic Safety Administration (NHTSA) has warned that unrestrained occupants in vehicle areas not designed for passengers face a serious risk of injury during collisions.
Truck beds lack seat belts, protective structures, and airbags. Passengers can be thrown from the vehicle or struck by objects, especially during sudden movements or crashes. State agencies publish guidance that helps clarify passenger restrictions and safety obligations.
Drivers should review applicable state rules and consider safety factors before carrying anyone in a pickup bed.
Important considerations include:
Ignoring pickup truck bed laws can create avoidable legal and safety problems. Understanding the rules before a trip helps drivers avoid violations and reduce risks for everyone involved. Drivers who ignore these requirements may also face serious consequences when passengers suffer injuries in preventable crashes.
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The post What Does the Law Say About Riding in a Pickup Truck Bed? appeared first on DCReport.org.
A coup-contrecoup brain injury is a type of traumatic brain injury (TBI) in which the brain is damaged both at the point of impact and on the opposite side of the skull. It typically occurs when a sudden blow or violent movement causes the brain to strike one side of the skull before rebounding and hitting the other, often resulting in more extensive injuries than a single-impact head trauma.
Learning about the common causes of TBI can make it easier to understand why coup-contrecoup injuries are frequently linked to high-impact accidents. Because this type of injury usually involves significant force, it often becomes an important factor in both medical treatment and personal injury claims.
The terms “coup” and “contrecoup” describe where the injuries occur inside the skull.
Rather than remaining stationary, the brain moves within the protective fluid surrounding it. During a sudden impact, that movement can cause bruising, bleeding, swelling, or other damage at two different locations.
A coup-contrecoup injury can cause the following:
Symptoms may include:
Several types of accidents generate enough force to cause this pattern of brain injury.
Car accidents remain one of the leading causes of coup-contrecoup injuries, particularly.
Rapid acceleration followed by an abrupt stop creates enough force for the brain to move violently inside the skull.
Falls are another common cause, especially among older adults and workers exposed to elevated surfaces.
Examples include:
Even when the head strikes the ground only once, the brain’s internal movement can produce injuries on both sides.
Contact sports and other forceful impacts may also produce coup contrecoup injuries.
Examples include:
In each case, the sudden movement of the brain—not just the external blow—creates the injury pattern.
A coup-contrecoup injury may become the basis of a personal injury lawsuit if it was caused by someone else’s negligence, such as a reckless driver or unsafe property conditions.
To succeed, the injured person generally needs to show that another party
Because these injuries require immediate evaluation, hospitals with emergency departments are generally required under 42 U.S.C. § 1395dd (EMTALA) to provide appropriate medical screening and stabilization for patients with emergency conditions, including serious head injuries.
Photo: Tima Miroshnichenko via Pexels
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The post What Is a Coup-Contrecoup Brain Injury and What Accidents Commonly Cause It? appeared first on DCReport.org.
Hello! I’m on a funny journey right now where I’m trying to learn how to make websites in a sort of 2010 style, where I have an SQL database and render some HTML on the backend.
It’s kind of an interesting journey because it doesn’t necessarily feel “easy” to me to make websites in this way: I never learned how to do it in the 2000s or 2010s, and there’s a lot I need to learn.
So here are some Django features that make building this kind of site feel more achievable than when I was trying and failing to use Go’s standard library or Flask. And I’ll talk about a couple of issues with Django I’ve run into.
Previously the toolkit I felt confident with for making websites was:
I really liked this frontend-heavy approach for these super simple applications but when I started thinking about making something with a lot of different pages (instead of literally just one page), I didn’t feel so excited about the options I saw that involved a lot of frontend code. So I figured I’d try the backend.
Writing a backend-focused site that uses as little JS as possible feels the same to me in a way as writing a single-page JS website that does as little on the backend as possible, even though they might seem like opposites. In both cases I’m just trying to keep as much of the logic as possible in one place.
Now for some thoughts about Django!
I learned that I can define a “query set” class in Django with a bunch of
methods with different WHERE statements I might want to use while constructing
a query:
Here’s how I use it in my view code once I’ve defined what all the methods mean:
Events.objects.approved()
.for_tab(tab)
.with_festivals(tab_params.festival_slugs)
.is_free(tab_params.free)
.is_outdoors(tab_params.outdoors)
and here’s how I define the methods:
class EventQuerySet(SearchableQuerySetMixin, models.QuerySet):
def approved(self):
return self.filter(approved_at__isnull=False)
def future(self):
today = timezone.localdate()
return self.filter(end__gt=self._midnight(today))
def with_tags(self, tags):
if tags:
return self.filter(tags__name__in=tags).distinct()
return self
The syntax for defining the filters isn’t my favourite, but I spend most of my time just using the methods, and it feels super readable and nice to use, and it makes me want to look into other query builder libraries in the future. In the past I thought “I know SQL, who needs a query builder?”, but this kind of structure does make it really nice to read.
I found an example of someone who wrote their own small query builder in Python that I want to read later to think about whether I would enjoy using a more minimal version of this.
There are a bunch of little quality of life filters available in Django templates that are super useful for generating HTML. The ones I’ve used so far are:
<br> ({{ event.description|urlize|linebreaksbr }} ){{ row.date|date:"M j" }})json_script, which takes a Python dictionary and automatically converts it to JSON and inserts it into the HTML as a <script> tag in a safe wayThese are all small things individually but I feel like it makes a big difference somehow to just have them available.
querystring is coolI think my favourite template filter is querystring: in this site sometimes
we use filters like ?date=2026-06-01 to decide what’s displayed. querystring
that will make a link to the same query string with one change, like this to
link to the previous date:
<a href="{% querystring date=nav.prev_date%}">
Or to remove the outdoors parameter:
<a href="{% querystring outdoors=None %}">
I still really love Django’s automatic database system. It’s amazing to be able to just edit a model to add a new field or whatever, and then Django automatically generates the migration.
So far we have done 19 database migrations and I think there will probably be more! It makes a huge difference for me to be able to just easily change the database as my understanding of the problem changes.
Django’s documentation sometimes offers the option of using class-based views and inheritance to organize the code in your views. For example I have four views that share a lot of code, and I could use inheritance to manage that by defining some kind of parent class and then having my other views inherit from it.
I tried it out and I did not enjoy the experience of using inheritance to share code between views. I switched to using functions instead, sort of how this post advocates, and that was a lot more straightforward. I’ve never had a good experience using inheritance in Python and I don’t think I’ll try to use it again.
But I don’t mind using inheritance to use the interfaces Django itself provides: for
example if I want to define a query set I need to write something like
class EventQuerySet(SearchableQuerySetMixin, models.QuerySet).
I don’t think too hard about it and it seems to work.
(as a meta comment: I’ve been working on talking about my programming opinions by just saying “THING does not feel good to me, I prefer OTHER THING instead”. That post I linked to says that function-based views are the “right way”. I’m not very invested in whether it’s “right”, but it’s validating to know that other people feel similarly to me about inheritance)
At some point the LLM scrapers discovered our site, and started sending us maybe 10 requests per second. I blocked them which is working for now, but it made me think about what the site’s capacity is. I’m used to writing Go backends where the performance situation is pretty straightforward (usually everything is just fast enough), and a Django site is very different.
Some light load testing (with (ab -n 1000 -c 1) shows that right now we can
serve about 2-3 requests per second (on a ~$10/month VM).
It’s tempting for me to go down a rabbit hole where I do a bunch of profiling to figure out what’s slow and try to make it faster (there’s py-spy for that, and py-spy is great and super easy to use, and profiling is fun!) But I really don’t understand what I should expect in terms of performance from a Django site and how I should be thinking about at a higher level.
Some things I haven’t figured out yet:
I think one thing I’m learning about Django is that because it’s a Framework (tm), it’s easy to accidentally misconfigure it. For example, when I was thinking about why my site was slow just now, I read the django performance docs and I noticed a comment saying:
Enabling the cached template loader often improves performance drastically, as it avoids compiling each template every time it needs to be rendered.
Clicking through the link, I saw that the cached template loader was supposed to be on by default, but I’d turned it off by accident while trying to do something else. I think this “I turned off the cached template loader by default” things is an example of how I still find the django settings file to be pretty confusing and difficult. I guess I should just be careful when I go in there.
Anyway I don’t want to get too far into site performance. Like I said it’s easy for me to get interested in profiling, but actually I know a lot about profiling and it’s not the most important thing for me to learn about.
I might say more about what I’m enjoying (or having a hard time with!) about Django later. Trying to write some shorter blog posts recently.
Links for you. Science:
A Deadly Ebola-Like Virus Is Spreading. Are We Ready?
Ancient Princesses Were Weapon-Wielding Badasses, Scientists Discover
Earliest Amber, Found in China, Changes Story of Plant Evolution
The San Andreas fault has gone ominously silent. Scientists fear when it finally snaps
FDA retracts test result but still links Taylor Farms lettuce to cyclosporiasis
AllTheBacteria: a community resource empowers biology and discovers novel peptide antibiotics
Trump administration allows killing of species threatened with extinction
Other:
It’s the Elon Economy, Stupid. George Noble, the former Fidelity wunderkind, argues that hyperscaler capex, SpaceX euphoria, and passive investing have created the most dangerous market bubble of his lifetime. The only question, he says, is what gives way first. (gift link)
Congress rejected some of Trump’s proposed budget cuts. OMB is making them anyway.
Ohio Dem Party Has Banned Criticism Of Gov. Candidate Amy Acton Calling Trans Girls “Boys”
A 23-Year-Old ‘ICE Chaser’ Is Notorious Among Federal Agents. He Has No Plans To Stop.
How Schools Can Counter “The End of Reading”
How Grindr’s C.E.O. Became an A.I. Tokenmaxxer
AI Made Cloning Games Easier Than Ever
Will America’s Next President Run Against A.I.?
How Google is Pushing Scam Videos on Elderly and Cognitively Impaired People
For many deported men, the hell of CECOT still haunts them
Trump is running out of space for his garish gold garbage
New Orleans Cops Published Policy Document Allowing Weaponized Drones
The Silver Lining of Trump’s Reheated Election Denialism. Take Trump seriously. Take him literally. But also see his speech for what it is: He knows he’s losing.
Texas border surveillance scholar exceeded tenure standards. UT’s president denied him.
Conspiracy Theorists Think Trump’s Speech Paves the Path to the Insurrection Act
Surrender To The Left On Medicare For All. It’s better than tearing the party apart!
The MAGA-ification of Hollywood is going to be so boring
In the Grim Darkness of the Far Future, There Is Only Culture War. How a forty-year-old satire of fascism became a meme for Trump, a flashpoint over women in sci-fi, and—for some fans—an actual political ideal.
Truth Social’s New Plan to Make Money May Be ‘Egregious,’ But Will Face Little Oversight
Zohran Mamdani’s City Hall Wants to Build Tenant Unions
State Sovereignty and Trump’s War Against the Constitution
Why Andrew Tate Is a MAGA Superstar
A trans ban came to rugby. Baltimore’s Ferals played on.
Denise Oliver-Velez, a Powerful Voice of the Left, Dies at 78
“Meddling”
Trump’s Reverse Midas Touch Even Got the World Cup
WTA to Require Genetic Sex Testing for All Players. Following cultural tides, the women’s tennis tour is mandating a strict new eligibility requirement.
Now on the American Road: Bulletproof Cars
OpenAI Appears to Be Missing Its Sales Goals by a Vast Margin
Pizzeria Paradiso Is Closing Its Georgetown Location After 23 Years
It’s a lot:
According to information obtained by The Tech, MIT is spending over $3 million on more than 500 AI surveillance cameras in academic buildings, residence halls, and outdoor areas along Memorial Drive. Installation of the new cameras, along with the wiring and infrastructure that will support them, began November 2025 and will likely continue until September 2026.
Technical specifications for the cameras suggest that they will be capable of collecting real-time face and object classification data, including detection of motion, loitering, crowds, face masks, and camera tampering. Individuals can also be automatically classified on the basis of clothing color, gender, and age, up to a distance of 35 feet (11 meters) from the camera. According to a statement from MIT spokesperson Kimberly Allen, any collected data is “retained up to 30 days,” unless an exception is granted.
[…]
Most of the new cameras, which are part of Hanwha’s Wisenet AI line, are marketed for their ability to identify and classify multiple objects with deep learning algorithms. They support resolutions ranging from 2MP to 4K while also recognizing faces, license plates, vehicles, and other objects in real time.
Nearly all cameras will accommodate a wide range of pan, tilt, rotate, and zoom motion and will be monitored continually with Ai-RGUS, an AI camera software.
Yikes.
2. Are LLMs obsessed with Japan?
3. Princeton University art museum gets landmark gift of Haitian paintings.
4. “Sight unseen” — the revenge of asymmetric information. But was it a good buy?
7. More on AI and mathematics.
8. Tribute to George Akerlof, who just retired.
The post Tuesday assorted links appeared first on Marginal REVOLUTION.
A recent letter from Mayo Clinic transplant providers raises concerns related to bad outcomes when some patient-donor pairs are separated (the donor donates before the intended recipient is matched to a donor), but the intended recipient is hard to match.
Donor Mentoring in Private Kidney Paired Donation Programs: The Need for Transparency and Accountability by Tayyab S. Diwan, Pooja Bhudiraja, Shennen Mao, and Carrie Schinstock, Transplantation 110(7):p e1555-e1556, July 2026. | DOI: 10.1097/TP.0000000000005764
"it is important to recognize that some KPD organizations, such as the National Kidney Registry, operate as private organizations (POs) with distinct governance structures, priorities, and commercial interests. These objectives may not always fully align with those of transplant centers or the broader transplant community, potentially creating gaps in transparency and accountability within a process that directly affects donors and recipients.
"We recently encountered a concerning example that illustrates the ethical tensions inherent when donor mentors are employed by private KPD organizations. ... During a routine text message check-in, the mentor initiated a discussion promoting voucher donation, emphasizing that voucher donors receive priority within the system.
...
"The donor described the interaction as uncomfortable and “pushy,” and subsequently contacted our transplant center for guidance. Notably, the communication focused on system-level benefits and prioritization metrics but did not explore critical clinical and ethical considerations specific to this donor-recipient pair.
"The discussion was insufficiently individualized and appeared framed toward a preferred outcome. The donor’s preferences and the potential downsides of voucher donation were not explored. The mentor did not ask how the donor would feel if they proceeded with voucher donation and their intended recipient never received a transplant. The discussion lacked any reference to recipient factors that could influence the advisability of voucher donation, including sensitization or recipient comorbid conditions. There was also no discussion about why KPD was being used. Often the donor can donate directly to a recipient (eg, compatible pair), but may decide to enter a KPD pool temporarily to see whether the recipient could receive a transplant with improved size or HLA matching. Finally, the average wait times for a recipient to receive a transplant after voucher donation were not mentioned.
"This interaction raises concern about whether the mentor’s guidance was fully centered on the donor-recipient pair or instead influenced, even indirectly, by organizational incentives to increase voucher participation. When donor mentors are employed by entities that operationally benefit from particular forms of donation, even well-intentioned communication can create perceived or actual conflicts of interest. Transparency regarding these structural incentives, along with a clear commitment to individualized donor-centered mentoring, is essential to maintaining ethical integrity in these situations.
...
"As stewards of living donor trust, the transplant community must ensure that innovation proceeds with appropriate oversight. Any perception that donor education or support is influenced by business interests risks eroding public confidence in living donation programs, with potentially far-reaching consequences that could discourage future donors."
#########
Here's an article on NKR from the NYT that discusses its particular voucher program (and also its finances):
How One Father Created an Organ Empire: The National Kidney Registry has matched thousands of kidney donors with recipients. It has also paid millions of dollars to a company owned by its founder.
By Danielle IvoryGrace Ashford and Robert Gebeloff
Dec. 27, 2025
"One of N.K.R.’s most innovative policies, many doctors said, is known as voucher donation: Donors can choose to give their kidneys immediately, in exchange for organ vouchers their loved ones redeem later.
"This arrangement has helped N.K.R. expand its pool. But vouchers add risk for donors giving on behalf of hard-to-match patients. They might go through surgery months or even years before their loved ones get a match. Matches are especially unlikely, doctors said, for “very highly sensitized” patients who carry antibodies likely to reject a transplant.
...
" many doctors said that given N.K.R.’s relatively small size, these rare patients would be better served waiting for a match before their loved ones donate.
"“We definitely recommend that they not go with a voucher,” said Dr. Miklos Molnar, the medical director of the kidney transplantation program at the University of Utah, which works with N.K.R.
"Dozens of highly sensitized patients who are also on kidney dialysis have waited a year or more after their loved ones donated, according to N.K.R. quarterly reports since 2022. At least three waited more than four years, and one for seven years.
"Doctors told The Times that they knew of some patients who became too sick or died before they redeemed their vouchers."
########
Here's a a discussion of the earliest exploration of unpaired donation that I know of:

The energy sector has spent decades learning how to manage complex disputes that touch on sovereign power, geopolitics, regulation and private capital. Those same dynamics are at play in the […]
The post Pipelines to payloads: risk management lessons for the space economy appeared first on SpaceNews.

A SpaceX Falcon 9 rocket is scheduled to launch from Cape Canaveral Tuesday carrying Northrop Grumman’s Mission Robotic Vehicle (MRV) and three Mission Extension Pods (MEPs), a novel mission designed to prolog the lifespans of multiple satellites.
The MRV is equipped with the Robotic Servicing of Geosynchronous Satellites (RSGS) payload, a pair of robotic arms with an array of tool attachments developed at the U.S. Naval Research Laboratory with financial backing from the Defense Advanced Research Projects Agency (DARPA).
Following deployment, the MRV and MEPs will spend a year heading out to geosynchronous Earth orbit. Once there, the MRV will begin the process of installing MEPs onto clients’ spacecraft, including those owned by Australia-based company Optus and Luxembourg-based company SES.
The MEPs, which carry fresh supplies of maneuvering fuel, are designed to provide up to eight years of additional life for a satellite.
Liftoff from Space Launch Complex 40 is scheduled during a four-hour window that opens at 5:15 p.m. EDT (2115 UTC). The rocket will fly due east upon leaving the launch pad.
Spaceflight Now will have live coverage beginning about 1.5 hours prior to liftoff.
SpaceX will launch the mission using the Falcon 9 first stage booster B1069 which is making its 32nd and final flight. The company said this would be the boosters final mission “Due to the additional performance needed to launch these payloads to geosynchronous transfer orbit.”
In addition to 27 batches of Starlink satellites, B1069 launched the following missions:
The concept behind the RSGS goes back more than 20 years when the NRL began examining the possibility of two uncrewed spacecraft performing autonomous rendezvous and docking operations. In the early 2000s, that evolved into a study called ‘RescueSat’, looking at how to recover a satellite stuck in the wrong orbit, and eventually the Spacecraft for the Universal Modification of Orbits (SUMO) program.
“The SUMO mandate was daunting. DARPA challenged us to design a robot that could dock with any satellite in space,” said Glen Henshaw, Ph.D., NRL Lead Space Roboticist for RSGS in a prelaunch statement.
“We then realized a universal truth—every satellite got to space on a rocket! By targeting the sturdy ‘launch vehicle interface plane’—the structural ring or explosive bolt holes that attach a spacecraft to a rocket for launch—we determined that a robotic arm could safely grapple almost any spacecraft without damaging delicate instruments.”

After proving the concept was possible, by 2005 the SUMO program shifted to the Front End Robotics Enabling Near-term Demonstration (FREND). That program would go onto develop spaceflight worthy robotic arms through a commercial vendor.
Alliance Spacesystems, Inc. (ASI), the company who built the robotic arms for NASA’s Mars Curiosity Rover, was selected and environmental testing began in 2008.
To find a good business case for these arms, a series of studies were conducted, including a joint NASA-DARPA study in 2012 called the Manned GEO Servicing study. Ultimately, DARPA moved the technology back into what the NRL called “research and hardware maturation via a spaceflight concept program called Phoenix.”
After years of studying and contemplation, DARPA decided to proceed with what was then called the RSGS payload to pursue “ultra-close inspection, orbital ‘tow truck’ relocation, mechanical anomaly repair, and upgrading satellites not originally designed to be upgraded.”
Four years later in 2019, it selected SpaceLogistics, a Northrop Grumman company to combine the RSGS with the MRV. Following initial checkouts, the RSGS program will be turned over to the U.S. Space Force in support of its Servicing, Mobility, and Logistics portfolio.

Worth seeing, and I enjoyed it — but a few observations I haven’t seen elsewhere.
For all the praise of IMAX and 70mm’s supposed clarity, several scenes are out of focus on the actor. Pulling focus is harder with a large-format negative. The problem is compounded by Nolan’s fondness for darkness: too many scenes are dark enough to squander much of what the format offers. The sound was earth-shaking in the way we have come to expect from Nolan but there is no song.
The “woke casting” controversy is a non-issue — barely noticeable in practice. The film is obviously conservative in temperament. Helen gets some of the best lines, and Nolan’s slight disfigurement of her traditional arc is exactly right. The Circe scene is the best in the film.
Tyler is entirely wrong about Calypso. Odysseus’s seven years with her were among his most enjoyable. I have no doubt about this.
The deeper flaws are structural. Nolan loves to play with time, and the resulting flashbacks and memories ironically shortchange the odyssey itself — making the journey feel shorter and less arduous than it should. This is very much in the mode of Interstellar: a sequence of set-piece locations strung together. One planet/one monster/one scene–on to the next. But Odysseus as a character on an odyssey never quite coheres.
We are told repeatedly that Odysseus is smart but we shouldn’t need to be reminded. Odysseus is both beloved and resented by gods, a man whose men will follow him to the ends of the earth and then betray him but Mat Damon just doesn’t bring it. Things happen to him; he responds stoically. What we needed was the equivalent of Kirk defeating the Kobayashi Maru — a moment that makes the audience understand, viscerally, that this man bends the rules and contends with the gods by the sheer force of his wit and will. Of courses the Trojan horse is this but Nolan treats this as something of which Odysseus is ashamed and the other clever bits are downplayed. Damon never gets his Kobayashi Meru. The odyssey is a slog, rather than an adventure. Could have used a bit more Sinbad, a bit less Dark Knight. The dialogue, as Tyler noted, is lame.
Not Nolan’s best film but still better than most films and for scale, ambition, and grand themes well worth the 3-hour investment.
The post The Odyssey appeared first on Marginal REVOLUTION.

Durango, Co – July 21, 2026 – Agile Space Industries today announced the appointment of Jake Mills as Chief Technology Officer (CTO) and Mark Pasquale as an independent member of […]
The post Agile Space Industries Appoints new CTO and Board member. appeared first on SpaceNews.

Company points to digital engineering, space tracking and missile-defense experience
The post KBR organizes defense technology business to pursue Golden Dome work appeared first on SpaceNews.

Japan’s IHI is considering adding next-generation hyperspectral satellites from Finnish startup Kuva Space to its planned 100-strong, multi-sensor sovereign Earth observation constellation.
The post IHI explores Kuva hyperspectral satellites for Japan’s multi-sensor constellation appeared first on SpaceNews.

Italian startup ORiS has raised 5 million euros ($5.7 million) to help it develop wireless power-beaming technology for satellites using lasers.
The post Italian startup ORiS raises funding for laser power-beaming technology appeared first on SpaceNews.

German spacecraft component developer deltaVision has raised 10.2 million euros ($11.6 million) to expand production of valves and related equipment, with a focus on enabling in-space refueling.
The post German component supplier deltaVision raises 10.2 million euros appeared first on SpaceNews.

Jean Meslier, a rural French priest, argued that religion is designed to produce subjects who will automatically obey
- by Nidal Taibi

A SpaceX Falcon 9 rocket launched two dozen Starlink V2 Mini broadband internet satellites to its massive low Earth orbit constellation on Tuesday, a day after liftoff was scrubbed by a rare abort during engine ignition.
Liftoff from Vandenberg Space Force Base in California came at 7:49 a.m. PDT (10:49 a.m. EDT / 1449 UTC). The first launch attempt for the Starlink 17-39 mission ended as the countdown clock hit zero when an issue popped up during the ignition sequence. All nine Merlin 1D engines appeared to ignite but then shutdown in a flash of fire and smoke.
But on Tuesday, all appeared to go smoothly, with the rocket lifting off from Space Launch Complex 4 East under mostly clear skies, taking a south-southwesterly trajectory to reach a 97-degree inclination orbit. Deployment of the 24 Starlink satellites came just over an hour into flight.
The mission used Falcon 9 first stage booster B1082, making its 23rd flight after launching missions, including NROL-145, USSF-62, and OneWeb Launch 20.
More than eight minutes after liftoff, B1082 landed on the droneship, ‘Of Course I Still Love You’, which is positioned in the Pacific Ocean, the 212th landing on this vessel and the 640th booster landing to date.
The Starlink 17-39 mission was the company’s 85 Falcon 9 rocket launch of the year. Of those, 67 were in support of the Starlink constellation, which consists of more than 10,800 spacecraft.
Debugging SSO, managing users, adjusting auth policies, configuring branding: every configuration task has lived behind a UI that only a human can drive.
The WorkOS MCP server gives agents the same access as your dashboard login. Hundreds of operations, discoverable at runtime. Connect in one command via OAuth, with scoped tokens instead of a master API key. Pass a screenshot of your marketing site and ask your agent to match the login page. If a human had to do it before, an agent can do it now.
A few weeks ago I wrote this post about how Google, once a foundation of the open web, had shifted decisively against it by transforming search into the front end of a chatbot. Now the Times has a piece that examines the same issue. This is usually presented as a extinction event or at least a catastrophe for publishers. It is. (It’s not for us because we were never very reliant on search.) But as I noted in that June post, there’s much more here than an issue for publishers. It’s part of the broader oligarchic moment in which a literal handful of monopoly tech platforms further entrench their monopolies, lock in ever greater profits and continue to plug that money back into to the political system they need to control to sustain and guard those profits.

I wanted to direct your attention to this podcast episode from Slate. It’s actually the first episode of a series Slate is doing on popular constitutionalism. (The page linked above is paywalled. But, I’m told, the ‘By the People’ pod series itself is not. So you should be able to find it on podcast platforms.) It brings together in a engaging and coherent way a number of themes we’ve been discussing over the last couple years about the problem of and the corruption of the U.S. Supreme Court. And it frames the question around a 20-year-old book on popular constitutionalism by Larry Kramer (The People Themselves: Popular Constitutionalism and Judicial Review).
The gist is basically this: judicial review goes back to Marbury v Madison and you can argue (how well is up for debate) that it was always implicit in the constitutional structure. But judicial supremacy — the idea that the Court (and inferior courts) have sole responsibility for interpreting the Constitution and in effect can’t be questioned — is very new. It is certainly new as a consensus across the political spectrum. Kramer and the episode (with Slate’s Dahlia Lithwick and Mark Joseph Stern) trace its origins to the quick succession of the Lochner Court of the late 19th and early 20th centuries (right-leaning, anti-labor rights and regulations) and the Warren Court of the 1950s and ’60s (left-leaning, pro-democratic process and individual rights). The American right — or the more conservative and reactionary elements of American politics — had always been most friendly to judicial supremacy. They got about as supremacist as possible under Lochner. And then you get the Warren Court, which suddenly and unprecedentedly makes the Court a vindicator of individual rights. The left decides judicial supremacy is pretty cool after all. And with that switch, suddenly you’ve got a right-left consensus in favor of judicial supremacy. Even then, though, Kramer argues that new mindset doesn’t really come fully to fruition until the failed nomination of Robert Bork. It’s only with Bork that the importance of Supreme Court justices — who they are, their backgrounds, viewpoints, prejudices — breaks through to the larger public.
There are some parts of the history I’d quibble with. (I think this downrates the unique characteristics of the conservative judicial moment as well the movement for legal professionalization in the late 19th century.) But big picture this is an accurate and illuminating way to understand how we got to the present moment. Once you get a judicial supremacy consensus, the whole fabric of U.S. politics becomes distorted. Every confirmation becomes life or death because we’re basically appointing a guardian council. We have Mitch McConnell type power plays. We need to get new justices on the Court by the time they’re in their late 20s if at all possible. The success of the Federalist Society and the conservative legal movement generally is the first sustained effort to pack the Supreme Court to achieve the kind of unbridled power we see today. The Warren Court was genuinely liberal in key ways. But that was partly fortuitous and far more something that grew organically out of the political culture of the New Deal and the early Cold War.
In any case, the salient point of the whole discussion is that until fairly recently it was believed that all the branches of the government — and critically, the people acting through those different branches — had an equal responsibility to judge what the Constitution says and what it requires. The Court can reject a law on constitutional grounds. But that doesn’t settle the matter. It doesn’t mean that’s what the Constitution says. It’s what the Court claims and they have certain powers to make good on those claims. But they don’t have unlimited powers, and the other branches have their own. The Congress says what it thinks is constitutional when it passes a law (or that should be what passing a law means). If the other branches think the Court is wrong there are checks and balances to push back on incorrect decisions — adding new justices, removing the Court’s jurisdiction over certain questions, yanking back the Court’s budget.
In the last decade and a half there’s been an interesting locution that often comes up in political and legislative debates. People or legislators will sometimes say, Well, we’re not sure if this is constitutional … or It’s probably not constitutional but we’ll pass it and see what SCOTUS says. Sort of like if you’re doctor recommends a new medication and you take it and do new lab work to see if it worked. Like the Court is the decider, not just in its own specific areas of power but as the decider across all of the federal and state governments. It’s a profound abdication of responsibility but you can see how it is a sort of echo of the acceptance of the doctrine of judicial supremacy.
As Kramer notes, all of these things that Congress can do to exert power over the Court are unambiguously constitutional remedies. But the essence of the judicial supremacy doctrine is that these are just not okay because there can’t be any checks on the absolute power of the Court — or, to use the standard formulation, that this is a danger to judicial independence. Kramer makes the key point that judicial independence is really about judges in their judicial role, deciding how trials are conducted, who’s guilty or innocent. We don’t want a president to be able to strong-arm a judge into making sure his enemies get convicted. That’s the heart of judicial independence and the rule of law. But judicial review is a policy function and in that context there must be checks on the Court’s power just like there needs to be, under our system, on every other locus of power — presidents, congress, states and bureaucracies.
Here is where this locks up with what we’ve been discussing so intently in the Editors’ Blog. We’re still beholden to this public mindset where, even after what we’ve seen in recent years, it shocks many people to imagine curbing or breaking the current Court’s power. Everything I’ve written about the Court going back four or five years has been to advance two points: first, curbing the Court’s power is not shocking. It’s normal and proper. Second, democracy in this country cannot survive with the current Court in place. So reform is both legitimate and essential. What I liked about this episode (and I would assume the rest of the series) is that way it packaged the history up in an accessible and clear way. Unchecked power is anathema to our whole system. When officeholders are corruptly abusing their power the other branches of the government not only can but must check them. Who decides what’s an abuse? What’s legitimate or not? The people, acting through the other branches.
There’s a lot to discuss here and we’ll get back to these topics in future posts. But I would like to add the states to this equation. The states are parties to the federal compact. They have high standing to interpret the federal constitution. We must keep this in mind as we battle for the future of democratic freedoms in this country. States are key bundles of sovereignty and executive authority which have a critical role today in defending democracy and the Constitution. Part of the uniqueness of this moment is that the presidency is acting in concert with the Court to create a new system of autocracy. They each have their own aims. But they overlap both ideologically and in partisan terms. That is what makes the separate sovereignty of the states, and the executive authority within them, so important as ramparts for democratic freedom.
“Be assured, my young friend, that there is a great deal of ruin in a nation.” — Adam Smith
The U.S. and the UK have one of the longest and most important relationships in all of history. The UK is America’s parent civilization, and even after the two diverged and had a period of rivalry, they came back together to more or less jointly craft the entire modern age. In terms of science, philosophy, government, and every other realm, the Anglo-American alliance was more than an alliance — it was a joint civilizational project.1
That also means that the U.S. and UK are able to learn from each other’s mistakes. This is often a painful and fraught process, because it involves quite a lot of cross-Atlantic shouting and insults. If you bring up the UK’s flaws on social media, you’re going to get an earful about how America elected Trump, Americans have no health care, American kids are constantly dodging bullets, and so on, so Americans have no room to talk. This is unhelpful, but inevitable. It’s a defensive reaction by left-leaning British intellectuals and elites who are occupied with their own internal policy and culture-war battles with other British people. Any criticism from an American is seen as giving free ammunition to the local enemy, so the natural impulse is to screech “Shut up, Yank!!”.
But the Yanks must not shut up. Whether or not the Brits need our advice, we need to have our own internal discussion about what’s going on over in the UK and how we can use it to inform our own choices. And although there are still a few things to admire across the pond, the UK mostly now functions as a cautionary tale for the U.S. — yes, despite Trump, and guns, and high health care costs.
Whether you think the UK has been falling behind America economically for a decade or for two decades depends on which set of prices you use to measure living standards. If you use the two countries’ national price indices, the UK has been growing slower than the U.S. since the financial crisis of 2008; if you use PPP prices, as Paul Krugman prefers, the UK’s relative stagnation has come only since Brexit in 2016:

That controversy leaves an important question unanswered — whether 2008 or Brexit was ultimately more damaging to British growth. But it also obscures an even more important fact, which is that by any of these measures, the UK is much poorer than the United States:

A data point that gets thrown around a lot is that the UK is as poor as Mississippi. In GDP (PPP) terms, that’s true — Mississippi’s income per capita is about $56,000, roughly similar to the UK. That doesn’t mean life is equally as good in the two countries — Mississippi is more violent and less healthy than Britain. But unless you think that Britain had to sacrifice a significant portion of its material wealth in order to be safer and healthier, this is a bit beside the point. France and Germany, which are just as safe and healthy as the UK (if not more so), also have significantly higher incomes. This is from a Resolution Foundation report:
Middle-income Brits are now 20 per cent poorer than their peers in Germany and 9 per cent poorer than those in France. Worse, low-income households in the UK are now around 27 per cent poorer than their French and German counterparts. It’s important to comprehend just how material these gaps are: the living standards of the lowest-income households in the UK are £4,300 lower than their French equivalents.
A very deep principle in economics is that if two countries are roughly equivalent in terms of their basic institutions, they ought to converge to similar income levels. The fact that the UK and the U.S. have diverged rather than converged suggests that the former must have some institutional weaknesses relative to the latter. And that implies that there are cautionary tales here for America.
What are those cautionary tales? There are a number of good breakdowns of the UK’s problems, and you can learn a lot from observing the overlaps and disagreements between them. Ben Southwood, Samuel Hughes, and Sam Bowman have a long piece called “Foundations”, which basically makes a libertarian YIMBY argument; they claim the UK is over-regulated and can’t build housing, infrastructure, or really anything else. Jim Tomlinson has a rebuttal in which he argues that the real barrier to investment is the financialization of the UK economy. Ben Ansell argues that the UK is in a version of the “high-level equilibrium trap” — the UK is still fairly wealthy, so its politics center around how to divide up the pie rather than growing it. The Resolution Foundation’s report has lots of suggestions for how to get Britain growing again. Michelle Kilfoyle also has some recommendations. These are only a few examples.
But my favorite rundown is probably the recent Atlantic article by Idrees Kahloon. The article points out that it isn’t just private industry that’s broken in the UK; it’s also the effectiveness of the government institutions that many British people cherish. This includes the fabled National Health Service. Kahloon writes:
Taxation is at the highest level since World War II, yet public services have deteriorated. The National Health Service, the celebrated pillar of the British cradle-to-grave welfare state, has a backlog of 6 million patients—almost a tenth of the population—waiting for treatment. The health service now has to spend more money settling maternity-malpractice claims than it does on actually providing maternity care. Many Brits can neither obtain an appointment with a publicly funded dentist nor afford a private one; in a 2023 survey, one in 10 reported doing DIY dental work, in extreme cases extracting their own teeth or gluing broken crowns back together…
Incomes can be shockingly low: Junior doctors recently went on strike for the 15th time in three years over their salaries, which start at just £38,800; the median salary for British civil servants is £35,680…
Recent plans to transform the country['s transportation system] have rested in no small part on High Speed 2, a superfast rail line intended to connect London with Birmingham, Leeds, and Manchester. But since HS2 was proposed, in 2009, its costs have tripled, to more than £100 billion. It is the most expensive rail line in the world. (A special structure to protect a rare bat species near the rail line in Buckinghamshire required 8,000 permits and was built at a cost of £216 million.) The most important sections of the proposed route have been lopped off. The rump line—going from Birmingham, Britain’s second-largest city, to not-quite-central London—may be finished by 2040…
Building infrastructure, or much of anything else, has become all but impossible in the United Kingdom. In addition to having the world’s most expensive (not yet built) train line, Britain also hosts the world’s most expensive (not yet built) nuclear-power plant, Hinkley Point C. Its environmental-impact assessment ran 31,401 pages; the plant will feature a £700 million “fish disco,” which will pulse sounds underwater to deter animals from its intake pipes. The government spent 32 years and £179 million planning a tunnel beneath Stonehenge to relieve traffic, only to officially scrap the plan this year. Even basic tasks, such as obtaining power, can be nightmarish…
Britain suffers from a housing crisis significantly worse than America’s. The problem cannot even be blamed on zoning, because Britain does not have a zoning regime to speak of. Rather, every attempt to build is a painful, ad hoc negotiation with local government councils and NIMBY residents. As a result, housing costs per square foot are among the highest in Europe. In the words of one report, “Our housing stock offers the worst value for money of any advanced economy.” France has roughly the same population as the U.K., but almost 50 percent more homes. And yet, since the financial crisis, the U.K.’s rate of housing production has only fallen…In London, the typical house sold in 2024 cost 11 times median earnings.
One of the key lessons here appears to be that NIMBYism kills the economy by a thousand small cuts. But Americans already know this. Kahloon’s description of Britain’s struggle to build high speed rail sounds uncomfortably like California’s story. And the housing story is also very similar to America’s. Most of the other analyses I listed above identify NIMBY-driven housing scarcity as one of the key factors holding back growth in the UK, and recommend various different strategies to address it.
I’m not sure the U.S. has a lot to learn from those various proposals, since they’re highly specific to the UK’s institutional context. But the overall lessons here are worth reiterating: Approval policies full of veto points and cumbersome procedures are a drag on the economy, local control can easily go too far, good infrastructure is often a matter of low-cost efficiency rather than pure willingness to pay, and so on. Americans have a severe NIMBY problem, but they can look over at the UK as a cautionary tale of how bad things will get if the NIMBY problem is allowed to fester.
Another lesson that Americans have already learned is the peril of excessive financialization of the economy. Almost everyone agrees that the UK economy is excessively concentrated in London. John Burn-Murdoch writes:
It will surprise nobody that London accounts for an outsized share of Britain’s output, but the magnitude of the UK’s economic monopolarity is remarkable. Removing London’s output and headcount would shave 14 per cent off British living standards, precisely enough to slip behind the last of the US states. Britain in the aggregate may not be as poor as Mississippi, but absent its outlier capital it would be.
Not only does this mean that the fruits of the UK economy are inequitably distributed — requiring a constant stream of politically difficult transfers to keep other regions afloat — but it also means that NIMBYism bites much harder than it otherwise would, because pricing people out of London means pricing them out of participation in one of the few healthy parts of Britain’s economy, and because pricing people out of highly productive cities hurts productivity.
And part of the reason the UK’s economy clusters in London is finance. As Reuters reports, the UK economy specializes in finance:
The United Kingdom is unusually dependent on finance. Financial services account for about 12% of economic output, opens new tab, compared with around 7% in the United States. Much of that activity emanates from London. The City is the world’s second-largest asset management hub, the leading venue for foreign exchange trading, and the number one location for over-the-counter derivatives.
Finance is an industry with an especially strong clustering effect; almost every country has just one city that’s the “financial capital” — NYC in the U.S., Tokyo in Japan, etc. But in an economy as financialized as Britain’s, the financial capital is the center of the entire economy, probably to an unhealthy degree.
Another obvious downside of financialization is that specialization in a single tentpole industry made the UK economy unusually vulnerable to a crash in that industry. The financial crisis of 2008, and the follow-on Euro Crisis in the years afterward, dealt a heavy blow to the UK finance industry — and, thus, to the UK economy. Whether you think Britain’s GDP stagnation truly began in 2008 or 2016, it’s inarguable that real wages stagnated and fell for years after 2008. Compare average weekly earnings in the UK to those in the U.S., and the difference is crystal clear:2
Whether financialization has other drawbacks — excessive corporate short-termism causing lack of investment and deindustrialization, financialization of housing development causing shortages, etc. — isn’t clear. But just these two negative effects — the UK economy’s hyper-concentration in London, and its vulnerability to single-sector shocks — provide a cautionary tale about letting an economy rely too much on the finance industry.
Again, this is a lesson that Americans already learned, at least partially, after 2008 (though thankfully, the lesson was somewhat less painful for us than for the Brits). But one lesson from 2008 that the U.S. should pay attention to is that fiscal austerity, if done too abruptly and carelessly, can leave long-term scars on an economy. Kahloon writes:
[T]he government’s actions during and after the [2008] crisis compounded the damage. Rather than increase spending to revive depressed demand, as modern Keynesians would counsel, the government…opted to slash budgets as revenue plunged…
Funding for day-to-day NHS operations was maintained, for instance, but only by cannibalizing the capital budget. A 2024 government report found that, as a result of austerity, Britain has “crumbling buildings, mental health patients being accommodated in Victoria-era cells infested with vermin with 17 men sharing two showers, and parts of the NHS operating in decrepit portacabins.”…
After austerity cuts to welfare benefits took effect, the share of children who grew up in long-term poverty, meaning half their childhood or more, shot up from about 14 percent to 23 percent. Nutrition appeared to suffer, and doctors reported increased cases of diseases stemming from vitamin deficiencies, such as rickets and scurvy.
The U.S. needs to hear this lesson. Our debt problem is becoming unsustainable:
We’re going to need to do fiscal austerity, but it’s important that we do it gradually, by restraining the growth of spending (and raising taxes), rather than by abruptly slashing government services and public works.
Kahloon’s example of the NHS actually demonstrates another lesson — the UK’s strategy of providing health care is probably uniquely flawed. In most advanced countries, the government provides universal health insurance; the government pays part of the cost of health care, but it doesn’t actually provide the care directly. The UK government, in contrast, provides health care directly to its people as a state-owned enterprise.
Britain’s NHS helps control costs in the short term; the system is cheaper than those of other rich countries, for roughly similar outcomes. But in the long term, it makes the UK’s health system subject to the whims and vagaries of politics. After the 2008 crisis, the UK disinvested severely from health care because of fiscal austerity policy, while other countries continued to do the necessary capital spending to maintain future services. This is a big part of the reason why the NHS system is now widely seen as falling apart.
The U.S. is vanishingly unlikely to switch to nationalized, state-run health care provision — at the very most, we’ll get a system of national insurance, like most other rich countries have. But watching the degradation of the NHS should remind us of why direct government provision of necessary services is so dangerous. It’s not necessarily that government is inherently inefficient; it’s that it’s inherently political. UK-style austerity is one reason government can starve its own enterprises of capital spending, but it’s not the only one — under Hugo Chavez, Veneuzela’s government starved its own state-owned oil company of capital investment in order to deliver a bonanza of government largesse, with predictably disastrous results. We should remember this when socialists like Zohran Mamdani promise to run essential services through the government.
One key lesson that all the analyses of Britain’s troubles seem to already have internalized, but which the U.S. needs to pay attention to, is that maintaining overseas markets is very important. Whether 2008 caused a long-term economic slowdown or not, 2016 definitely seems to have done so. Brexit is the huge, looming shadow that hangs over everything that has happened to the UK economy over the past decade.
Bloom et al. (2025) study the growth impact of Brexit, looking at both macro data and micro data. For the macro, they assume Brexit was an unanticipated shock, and compare the UK to other countries. For the micro, they look at how various British businesses fare after Brexit, according to how dependent they were on the EU before the big surprise breakup. Both estimates agree that Brexit was a negative shock:
[B]y the end of 2025 Brexit had reduced UK GDP by 6% to 8%, with the impact accumulating steadily over time. We estimate that investment was reduced by 12% to 13%, employment by 3% to 4% and productivity by 3% to 4%. These negative impacts reflect a combination of elevated uncertainty, reduced demand, diverted management time, and increased misallocation of resources from a protracted Brexit process.
The U.S. should look at Britain’s experience and remember that international markets matter. The pre-Brexit UK was a more internationalized economy than the pre-Trump U.S. — exports are over 30% of UK GDP, compared to only 11% in the U.S. But that seemingly small stream of exports revenues supports a lot of more local industries, through the magic of local multiplier effects. If Trump and his successors disrupt those markets by starting pointless trade wars with allies and friendly countries, the results won’t be quite as bad as in the UK, but they won’t be good.
A final lesson that the UK’s failures can teach the U.S. is that energy supply is very important. Most analyses tend to gloss over the chronic energy scarcity that has afflicted the UK in recent years. “Foundations”, however, puts this squarely in the limelight:

High energy costs help make British industry uncompetitive, increasing the country’s reliance on finance. They also directly impoverish the British people, who are forced to make do with much lower energy consumption than people in other rich countries. Here’s electricity generation per capita:

Energy is one very easily identifiable, tangible dimension in which British people are much poorer than Americans.
The Economist ties Britain’s energy scarcity to its overly rapid and haphazard push for decarbonization; having banned coal, and with natural gas now extremely expensive due to the Ukraine war, the UK has been forced to rely on hideously expensive offshore wind power.
The U.S. doesn’t have this exact problem. Because the U.S. has much more land and much more sunlight than the UK, we can use solar power (with batteries), which is much cheaper than offshore wind and are getting cheaper all the time:

But the general lesson remains — there is no such thing as a low-energy rich country. The MAGA movement’s irrational opposition to solar power is even more foolish than Britain’s haphazard push to ban coal.
So to sum up, the UK’s sad experience with economic stagnation offers several important lessons for America:
NIMBYism is very bad
Excessive reliance on the finance industry is dangerous for many reasons
Abrupt, poorly-designed fiscal austerity can do long-term damage to an economy
Direct government provision of essential services is easily politicized
Cutting a country off from its export markets is very bad
Energy abundance is important for both industry and living standards
Overall, the UK should serve as a reminder that economic growth is very important, and countries turn away from growth at their peril. The UK, caught up in endless political turmoil and culture wars, has forgotten the overriding importance of growth for national happiness and well-being. The U.S., facing its own political chaos and culture wars, should try very hard not to make the same mistake.
America’s second most important relationship, and arguably its most important in the post-WW2 period, has been with Japan — our “other special relationship”. But that’s a topic for another post.
Actually this comparison is slightly flawed, because the U.S. data is only for the private sector, but adding in the government won’t change the story because U.S. government workers saw more of a pay increase relative to private-sector workers during this time. Also, note that this comparison doesn’t care about PPP, since each country’s workers are paid — and consume — in their local currency.
It seems as though $5.6 billion wasn't enough. That was the news from the US Space Force on Friday, when military officials announced they were tripling the maximum value of one of the service's National Security Space Launch contracts to $17 billion.
The expansion of the Space Force's National Security Space Launch (NSSL) Phase 3 contract comes as the Pentagon signals rising demand for military satellite launches. The NSSL program is set up to allow Space Systems Command, which oversees the Space Force's launch program, to select from a pool of launch providers for individual missions to deliver the military's satellites to orbit.
The NSSL program has two parts. Lane 1 covers the Space Force's more risk-tolerant missions, such as medium-lift launches with experimental payloads or rideshare missions carrying satellites for the Pentagon's surveillance or data relay constellations. Lane 2 includes higher-priority strategic missions, like the government's largest and most expensive spy satellites, or radiation-hardened communications satellites designed to survive a nuclear war.
So in case y’all missed this, Huntington Beach is considering the placement of a permanent bronze Donald Trump statue in Patriot Plaza, which sits alongside the Huntington Beach Civic Center.
Pat Burns, the veteran council member/walking embodiment of a penis-shaped bowling pin, is 100-percent behind the idea, which would involve the handiwork of Steven Barber, he of many statues, and Anthony Constantino, CEO of Sticker Mule (Mental note: Never, ever, ever use Sticker Mule). According to the Orange County Register, “the 7-foot bronze sculpture would depict Trump in a full suit with one fist raised and a red “Make America Great Again” hat in his other hand, reminiscent of the president after the shooting at a 2024 campaign event in Butler, Pennsylvania.”
Of course, local Democrats (and general sane people) have come out against the idea. Here, take a gander …
And, to Palumbo, Glim, Davis and Spivey—well, I suggest re-considering the take on this one. I think, truly, Huntington Beach is 100-percent worthy of the Trump statue. I think they should build it, I think it should be prominently placed and I think we’ll need a ceremony for the unveiling. Maybe Tito Ortiz and Charlie Kirk’s widow can attend.
Most important, I think the Donald Trump statue must be accompanied by the most sturdy of plaques, and it needs to read this: THIS STATUE WAS MADE POSSIBLE BY THE SEVEN MEMBERS OF THE HUNTINGTON BEACH CITY COUNCIL. THEY ARE: CASEY MCKEON. BUTCH TWINING. GRACEY VAN DER MARK. DON KENNEDY. CHAD WILLIAMS. ANDREW GRUEL. I actually would add some extra context, something like, “In the summer of 2026, these seven people believed Donald Trump was the savior of democracy and the beacon of patriotism. They were all in on MAGA and would have done anything for the president.”
I’m not joking.
Why? Because while I can’t tell you how many licks it takes to get to the center of a Tootsie Pop, or who started for the Seattle Mariners on Opening Day 1979, I know—without question—this does not end well for Donald Trump and his anti-democracy, anti-free speech, anti-diversity lemmings. Hell, it might take decades to get there. Many decades. But, ultimately, people will look back at this period in world history, when a racist, greedy, incompetent, narcoleptic madman made $2 billion while in office; had unvetted masked agents pulling over brown people, ripping them from their vehicles and—in some cases—murdering them; mocked the disabled and the poor and foreign-born and the blue-collar and the struggling; said POWs weren’t heroes and E. Jean Carroll was asking for it; sat back and watched as his supporters stormed the Capitol and set up a noose for his vice president …
On and on.
Folks will look back and ask, “How did anyone support this? How could anyone support this?
“Who would support this?”
Then they will visit Surf City, walk toward Patriot Plaza and see:
CASEY MCKEON.
BUTCH TWINING.
GRACEY VAN DER MARK.
DON KENNEDY.
CHAD WILLIAMS.
ANDREW GRUEL.
That will explain everything.
On Friday an Iranian attack on a U.S. base in Jordan killed two soldiers and left one missing. Another service member died Friday in northern Iraq. This brings the number of military personnel killed in the Iran War to 17 since Trump launched strikes against the country on February 28. The Pentagon’s casualty-reporting site says 427 U.S. service members have been wounded.
On Saturday, Greg Jaffe, Julian E. Barnes, and Jonathan Swan of the New York Times reported that multiple officials told them that the attack in Jordan was the fourth in five days and that the strikes had wounded dozens of military personnel and damaged several helicopters. The journalists’ sources told them that the strikes proved Iranian forces still have plenty of missiles and are becoming more skilled at getting around U.S. air defense systems.
The sources told the journalists that the first attack hit a base, injuring as many as five service members; the second hit a different base, damaging U.S. Blackhawk helicopters; and a third hit the same base where the soldiers would later be killed. In that first attack, about 20 military personnel were injured.
Retired Air Force Lieutenant General David Deptula, who helped to plan the air war in the 1991 Gulf War, explained that bases in Jordan give the U.S. broader reach across Syria, Iraq, and beyond. Friday’s attack was “an attack on the U.S. regional coalition and an attempt to make the political cost of hosting American forces greater than the security benefit.”
Those sources who spoke to the New York Times reporters spoke on condition of anonymity. The Pentagon declined to comment.
Eric Schmitt of the New York Times noted that lack of information from the Pentagon today when he reported that in the week before the weekend’s deaths, three Iranian strikes injured military personnel and damaged several helicopters yet the Pentagon under Defense Secretary Pete Hegseth did not disclose the strikes, the casualties, or the damage to the American people, citing the need to keep information about operations secure.
Schmitt noted that neither the White House nor the Pentagon has outlined a military strategy since Trump announced that the memorandum of understanding that extended a ceasefire—the one he signed on June 17—was no longer in force. In the nine days since then, both sides have increased strikes.
Schmitt noted the Pentagon has not held a major briefing on the war since early May. Since then, the administration has not disclosed the depletion of crucial and expensive weapons through the Iran strikes, or how Iran has both retained and rebuilt its own missiles. In June, Jonah Kaplan and Michael Kaplan of CBS News reported that Hegseth’s claim that “almost 90%” of service members injured had sustained only minor injuries gives a misleading picture of the extent of those injuries. A spokesperson for the Army explained that the Army classifies a soldier as “seriously injured” or “very seriously injured” only if they are at risk of dying from their wounds within 72 hours.
Pentagon spokesperson Sean Parnell responded to Schmitt’s story by posting on social media that “[t]he Department of War rejects these baseless and malicious accusations of hiding injury numbers as outright lies from partisan hacks at the New York Times who are desperate to smear America’s military and its leadership. Claims of concealment are fabrications meant to further distress the American people in the wake of three service members killed in action.” He continued: “This is the most transparent Department of War in history.”
And yet, the administration did not consult Congress about launching the war, as the Constitution requires, and has blown through the 60-day time limit for the use of the U.S. military to counter an “imminent threat” without getting congressional approval.
Damian Paletta of the Wall Street Journal today also asked questions about how the Iranians, who Trump said had very few missiles left back in June, are developing faster and more maneuverable missiles. Paletta noted that whether Iran is getting help from Russia, or any other country, remains an “enormous question” that puts “much more pressure on the White House to potentially confront Russia.”
When asked about the deaths of the three service members, Trump said “We feel very badly, but you know those great people, those great patriots were out there fighting that Iran cannot have a nuclear weapon. Iran has been very, very badly damaged. They’ve lost everything almost, militarily. They’ve got very little left…. We control the strait. They don’t control anything. So we’ll see what happens when we hit ’em very hard again tonight.”
Over the last several days, the U.S. has struck Iranian bridges and energy infrastructure. According to Iran’s Health Ministry, the recent U.S. attacks have killed at least 38 people and wounded more than 400.
Today the Houthis in Yemen, who are backed by Iran, announced they are imposing a naval blockade on Saudi Arabia, threatening the passage of oil through the Bab el-Mandeb strait. If the strait is closed, the global oil supply will take another 7% hit.
The American Automobile Association said today that the average price for a gallon of gasoline is just over $4, up about $0.13 from last week. Before the conflict, the price averaged $2.98 a gallon. Economist Paul Krugman noted today that the “wholesale price of refined products (assuming 2/3 gasoline, 1/3 distillates) is most of the way back to its peak. Since this is what matters for inflation and demand, no relief in sight before the midterms.”
Carl Quintanilla of CNBC reported today that crude oil supplies in the U.S. are the lowest they’ve been in 45 years.
The expansion of the Iran War’s scope, duration, and casualties did not keep Trump away from the World Cup final between Spain and Argentina on Sunday. After Spain won over Argentina with a score of 1–0, Trump joined FIFA President Gianni Infantino on the field—apparently unconcerned about the dangers that he says require the construction of a fortified ballroom—to present medals to the Spanish players.
The crowd resoundingly booed Trump, who then stood on stage with the celebrating players until Infantino jogged across the stage to lead him away. The Guardian captioned a picture by Javier Garcia taken of Infantino and Trump standing aside from the players: “Gianni Infantino carefully explains to Donald Trump that he is not part of the Spanish national team.”
Trump appears to be becoming less and less relevant to actual governance. Last Thursday, Alex Gangitano, Megan Messerly, and Myah Ward of Politico reported that Republicans were “scared sh*tless” about what Trump might say in his prime time address, but it is perhaps more of a sign of the current political reality of Trump’s falling popularity that CNN, ABC and NBC, chose not to run the speech live.
Matt Gertz of Media Matters noted that despite Trump’s promise that his speech would deliver “really, really big news,” the Fox News Channel largely ignored the event. Executives might not have wanted to get entangled in the election denialism that cost them close to $800 million after pushing claims of election fraud after the 2020 presidential election.
Fox hosts turned instead to culture war issues, railing against “DEI” and perceived abuse of WNBA Indiana Fever guard Caitlin Clark, who is white, by Black players.
In line with that focus, the administration is renewing its visible and aggressive immigration policies. For months, Immigration and Customs Enforcement (ICE) has not released data about arrests, but immigration enforcement scholar Austin Kocher noted that new records show arrests in early July hit 1,474 a day, a record high for the Trump administration.
In the past months, ICE has recruited thousands of new agents. As Maanvi Singh and Fabiola Cineas of The Guardian note, many of these new agents did not have the requisite qualifications and were not properly vetted.
Agents from ICE shot and killed two immigrants within a week earlier this month: Lorenzo Salgado Araujo, 52, in Houston, Texas, on July 7 and Joan (or Johan) Sebastián Durán Guerrero, 25, in Biddeford, Maine, on July 13. Neither man was the target of the operation in which he was killed.
In Maine, Ashley Brouillette identified her ex-husband, David Brouillette, as the officer who shot Guerrero four times. She found out he was involved in the shooting when he called her to ask her not to tell reporters about his abuse during their marriage. Both she and another ex-wife had restraining orders against Brouillette.
Ashley Brouillette told reporters that when her ex-husband told her at the end of last year that he had been hired as an ICE agent, “I honestly thought that he was being delusional and I didn’t believe it.”
As an Army combat veteran and former security agent, Brouillette would likely not have undergone in-person training to become an ICE agent, Christian Harsa of News Center Maine reported. A spokesperson for ICE, Lauren Bis, told Vanessa Romo and Alina Hartounian of NPR that Brouillette had “nearly a decade of federal law enforcement experience with required training.”
Today, Senator Angus King (I-ME) and 38 Democratic senators sent a letter to Secretary of Homeland Security Markwayne Mullin demanding “immediate, thorough, independent, and transparent investigations” of the shooting deaths of Araujo and Guerrero.
As Isabelle Oss of the Portland Press Herald reported, the letter noted that both former DHS secretary Kristi Noem and White House immigration advisor Tom Homan committed to making sure that agents are fitted with body cameras. And yet, agents involved in the recent shootings were not equipped with cameras, confirming “that neither of these commitments were honored.”
The senators noted that the acting director of ICE, David Venturella, promised Congress that all field agents would be equipped with cameras by the end of July. “We view this timeline not as a projection, but as a firm, binding commitment to which we will hold the Department accountable,” the senators wrote.
They also demanded that ICE agents wear labels clearly identifying themselves as ICE agents.
The senators asked Mullin to identify specifically how he intended to investigate the shootings, explain the vetting process for new recruits including whether it considers records of domestic abuse before hiring, identify updates or reviews being made to ICE traffic stop policies, and explain what oversight, reporting measures, or public safety measures the agency is implementing.
As if to demonstrate that he is still in charge, Trump this afternoon announced new tariffs on certain products from Canada. The 50% tariffs would further upend the economy if they take effect in 30 days as scheduled.
Trump has been complaining about the smoke from Canadian wildfires hurting U.S. air quality, and has threatened to impose further tariffs on Canadian produce because “the United States is being unnecessarily invaded by filthy, polluted, and unhealthy air.” Canadians including Ontario premier Doug Ford noted that they sent firefighters, rather than threats, when conditions were reversed.
—
Notes:
https://www.nytimes.com/2026/07/20/us/politics/troops-injured-jordan-iran-war.html
https://www.cbsnews.com/news/wounded-soldiers-families-accuse-army-downplaying-war-injuries/
https://www.nytimes.com/2026/07/18/world/middleeast/iran-war-jordan-attacks.html
https://gasprices.aaa.com/
https://www.cnn.com/2026/07/20/business/gas-four-dollars
https://www.npr.org/2026/07/20/nx-s1-5900601/us-iran-updates?renderPlatform=nprone_ios
https://people.com/donald-trump-booed-at-2026-world-cup-final-12021141
https://www.politico.com/news/2026/07/16/republicans-brace-trump-speech-election-fraud-00999640
https://www.theguardian.com/us-news/2026/jul/16/us-tv-networks-trump-speech
https://www.theguardian.com/news/ng-interactive/2026/jul/19/ice-killings-immigration-crackdown
https://www.npr.org/2026/07/17/nx-s1-5897460/maine-ice-shooting-brouillette
https://www.nytimes.com/2026/07/19/us/politics/fbi-ice-agents-investigations-shootings.html
https://www.wbaltv.com/article/trump-threatens-tariffs-canada-wildfire-smoke/73175566
Substack Notes:
X:
seanparnellasw/status/2079204590176940302?s=46
RpsAgainstTrump/status/2079018774116675751
Bluesky:
carlquintanilla.bsky.social/post/3mr36exant22u
atrupar.com/post/3mr25ecdlu22e
mattgertz.bsky.social/post/3mr34shh6ms25
verbeeld.bsky.social/post/3mqzvanypmk2t
sky.skymarchini.net/post/3mr47wxwg5c2w
We estimate the causal impacts of GLP-1 treatment on labor market outcomes using linked Danish administrative data and a matched stacked difference-in-differences design. We compare patients who initiate GLP-1 treatment during the first two years of Semaglutide availability to observably similar patients who initiate four years later. We find that GLP-1 treatment reduces long-term sickness leave by 17.3%. We estimate total fiscal benefits of GLP-1 initiation of approximately 1.3–1.5% of annual labor income per employed individual. We do not detect statistically significant or economically meaningful impacts on income, labor force participation, or employment over four years.
That is from a new NBER working paper by
The post The economic effects of GLP-1s appeared first on Marginal REVOLUTION.
The Wabanaki people have a deep well of creation myths explaining the rocky coastlines of the Bay of Fundy, Downeast Maine, and Acadia National Park. Many involve Glooscap—a magical figure said to have floated down the Bay of Fundy in a stone canoe, sculpting coastal features by scraping the vessel across the landscape and scattering enormous boulders during battles with primordial beavers, frogs, moose, whales, and other gigantic animals.
Fewer Indigenous creation myths survive to explain the origins of the sandy and marshy shorelines of southern Maine and the rocky, indented coasts of the state’s Midcoast region. But the sharp contrast between the sandy shoals and beaches south of Portland and the rocky shoreline of promontories, headlands, and narrow peninsulas to the east—visible in the Landsat image above—has long drawn the attention of coastal geologists, whose scientific explanations on its origins abound.
The coastal transition reflects both differences in the underlying bedrock and the distribution of sediment left behind by the last glacial maximum, coastal geologists say. Southern Maine has broad deposits of sand, much of it sourced from rivers. The sandy beaches of Saco Bay, for instance, home to Maine’s longest contiguous beach and the state’s largest saltmarsh, received sediment from the weathering and breakdown of the White Mountains, with material transported to the coast largely by the Saco River, explained Peter Slovinsky, a geologist with the Maine Geological Survey. Waves and tides reworked these soft sediments over time, sculpting them into the arch-shaped embayed beaches and sprawling salt marshes found around Saco Bay and the broader region.
While erosion-resistant granite juts from the sandy shorelines in southern Maine to form rocky headlands, metamorphic bedrock becomes the dominant surface feature east of Portland. There, whole ridges and valleys made of rock layers transformed by exposure to high pressures and temperatures define the landscape. During the last ice age, glaciers scoured and widened many of these coastal valleys, which later flooded as the Laurentide Ice Sheet melted and sea levels rose.
Around Casco Bay, these ridge-and-valley systems, combined with the drowning of the shoreline, produce the jagged, highly indented shoreline and many long, narrow islands seen today. “The tortured folds of these old landscapes also set up a sharp directional preference for erosion to exploit,” said Nicholas Whiteman, also a geologist with the Maine Geological Survey. “This led to the eye-catching difference in the orientation of the islands and necks that dominate Casco Bay compared with those to the northeast.”
The various forms that coastlines take fascinate geologists, but they also carry everyday implications for the economies of Maine’s coastal communities. While tourists flock to the sandy beaches of communities like Saco and Kennebunkport, the state’s iconic lobster fisheries are concentrated in Midcoast Maine. The crustaceans thrive in the cold waters of the region’s many rocky, protected inlets, turning communities such as Harpswell into leaders in lobster landings.
The state’s oyster farms are also concentrated in this region. Casco Bay and the Damariscotta Estuary, sheltered from winds and waves, offer waters that farmers can easily access without large boats. These waters provide a range of temperatures, salinities, and other characteristics that create numerous microclimates where oysters can grow quickly and take on a variety of tastes, known as merroir, explained Tom Kiffney, a researcher at the University of Maine. Kiffney is part of a team of researchers using Landsat and other satellite observations to predict oyster growth rates and help identify the most promising locations for new oyster farms in Maine based on water temperatures and quality.
NASA Earth Observatory image by Michala Garrison, using Landsat data from the U.S. Geological Survey. Story by Adam Voiland.
Stay up-to-date with the latest content from NASA as we explore the universe and discover more about our home planet.

After the Laurentide Ice Sheet retreated from present-day Hudson Bay, rebounding land has revealed striking nearshore topography.

The expansive mudflats, sandy beaches, and mangrove forests of the Bijagós archipelago support an array of migratory shorebirds and large…

The coastal province features striking tropical karst landscapes and sandy beaches alongside a mix of natural land cover and developed…
The post Why Maine’s Sandy Shorelines Turn Jagged appeared first on NASA Science.
Any time you hear claims about American government, a sanity-inducing response is to ask whether they also are true of state and local governments. Here is an excerpt from my latest piece at The Free Press:
First, in people’s daily lives, they typically interact with their state and local governments more than with the feds. And if you look at what state and local governments do, most of it is driven by voter demand, and I do not mean billionaire or oligarchic voters.
Most state and local government spending goes toward schools, roads, and increasingly, Medicaid. None of those reflect the agendas of most billionaires. For example, Medicaid dollars flow particularly to lower-income recipients. Hospitals and doctors receive income from this program, but reimbursement rates are relatively low, and many of the best doctors do not accept Medicaid patients and don’t make a living from the program.
Somehow the oligarchy saw fit to leave these expenditures alone. Looking at the state and local level also suggests that America — with some notable exceptions — is better governed than before.
The post Is America ruled by an oligarchy? appeared first on Marginal REVOLUTION.
Up and to my office, and then walked to Woolwich, reading Bacon’s “Faber fortunae,”1 which the oftener I read the more I admire. There found Captain Cocke, and up and down to many places to look after matters, and so walked back again with him to his house, and there dined very finely. With much ado obtained an excuse from drinking of wine, and did only taste a drop of Sack which he had for his lady, who is, he fears, a little consumptive, and her beauty begins to want its colour. It was Malago Sack, which, he says, is certainly 30 years old, and I tasted a drop of it, and it was excellent wine, like a spirit rather than wine.
Thence by water to the office, and taking some papers by water to White Hall and St. James’s, but there being no meeting with the Duke to-day, I returned by water and down to Greenwich, to look after some blocks that I saw a load carried off by a cart from Woolwich, the King’s Yard. But I could not find them, and so returned, and being heartily weary I made haste to bed, and being in bed made Will read and construe three or four Latin verses in the Bible, and chide him for forgetting his grammar. So to sleep, and sleep ill all the night, being so weary, and feverish with it.
Footnotes
Ben Thompson, on the hype regarding Kimi K3, at Stratechery:
This is a point that bears repeating: because U.S. open weight model makers must follow the frontier labs’ terms of service, they (1) are worse than Chinese alternatives and (2) end up distilling the distillation, just with a detour through Chinese labs. Wouldn’t it be better if western open weight model makers could go to the source?
To that end, here’s an even more interesting question around distillation: why exactly is it bad? After all, what are large language models but the distillation of all of the knowledge on the open Internet, scraped by the frontier labs and distilled into the models that are themselves being distilled? Who is exactly being wronged here?
In fact, this paradox is the solution. I believe that open weight models are good for innovation (and, per the above, I think that labs on the frontier will be fine), but it’s a problem to be dependent on China. The U.S. should pass a law that (1) makes explicit that collecting data for training models is fair use, and (2) bars terms of service that forbid distillation, for U.S. companies at a minimum. Stopping distillation — which is literally just querying the API — is nearly impossible; the U.S. should go the other way and lean into a new copyright policy that both indemnifies the labs and also guarantees that what they learned fuels further innovation for everyone else.
To be clear — and Thompson emphasizes this point too — the leading Chinese models like K3 aren’t good only because of distillation. They’re not entirely rip-offs. But distillation is clearly an essential part of the formula they’re using to keep releasing models that are 6–9 months behind the U.S. frontier state of the art. So the Chinese treat all models as “open”, regardless of the terms of service. But anyone in the U.S. or other western countries that respect copyright who wants to distill a good model has to wait for the Chinese to release their models, like K3.
And that second paragraph I quote above distills (sorry) exactly why I want to bring out the world’s smallest violin to play a sad song for OpenAI and Anthropic regarding their objections to their frontier models being distilled against their terms of service.
Brazil introduced Pix, a digital payment system, almost 6 years ago. The system — which allows people to make payments on their phones, not very differently from Apple Pay or Google Pay, except that Pix payments are official currency rather than transfers from private companies — has been highly successful. The vast majority of Brazilians use it regularly, and by all accounts Pix — which is free for individuals, and cheap for businesses — is hugely popular.
On Wednesday — as it happens, on the first anniversary of an article I posted praising Pix and suggesting that it may represent the future of money — the Trump administration will try to punish Brazil for this success. It will do so by imposing tariffs on Brazilian exports under Section 301 of the 1974 Trade Act, which permits such tariffs to counter “unfair trade practices.”
Why is it unfair for a nation to offer its own citizens a better way to make purchases and pay bills? To some extent the Trump administration is still trying to punish Brazil for being a real democracy. Unlike the United States, Brazil put its former president, Jair Bolsonaro, on trial for trying to foment an insurrection when he lost the last election
Trump’s hostility towards Brazil’s Pix system is also an illustration of the same phenomenon we see in his energy policy: this administration is hostile to progress whenever that progress works against the interests and ideology of the oligarchs who have poured money into Trump’s campaigns and his pockets.
Pix is essentially a digital version of the real, Brazil’s currency. As a Federal Reserve report from 2022 said, a central bank digital currency — which is what Pix is — “is analogous to a digital form of paper money.” Brazilian banks are required to offer Pix, which the Trumpists claim gives it an unfair advantage over debit cards and other payment methods. But this requirement is similar, at a fundamental level, to the requirement that all U.S. banks accept dollar notes as deposits and disburse dollar notes on demand, which few people would consider unfair.
Who is hurt by the advent of Pix? Brazilians’ ability to cheaply make instantaneous payments from their phones certainly hurts the business of Visa and Mastercard, which are both U.S. companies. But since when is it unfair business practice when companies lose business to a competitor that offers a better, cheaper product? For example, should we shut down the U.S. postal service because it offers better and cheaper mail delivery than UPS or FedEx? Should we shut down PayPal and Venmo because they compete with Mastercard and Visa?
Beyond concerns about Visa and Mastercard profits, Trump officials are reportedly concerned that Pix and similar payment systems elsewhere might challenge the international dominance of the dollar. In reality, Brazil is too small a player to make much of a dent in the world payments system. The dollar may, however, face a real challenge if the European Central Bank is able, as it hopes, to introduce a digital euro in 2029. If that happens, it’s not hard to imagine that a significant number of transactions that would otherwise have been made in dollars will be made in digital euros instead.
But let’s be clear: the reason people might switch to digital euros will be because the US won’t be offering an equally good means of payment. Why won’t there be a digital dollar? Not because it’s a bad idea — as Brazil has shown, it would be a very good idea. But there are powerful special interests that oppose any such move.
Last year Republicans in the House passed a bill that didn’t just forbid the creation of a U.S. central bank digital currency; it prohibited any study of the issue by the Federal Reserve. “Don’t even think about parking here creating a digital dollar.”
Proponents of this ban claimed to have concerns about how a central bank digital currency would work. But it’s obvious that their real concern is that it would work too well. Crypto interests, in particular, are very worried that consumers who had access to digital dollars would lose interest in stablecoins and other cryptocurrency products, because these products, being risky and awkward to use, would not be competitive with a system that simply lets people make electronic payments in dollars.
Brazil’s success is especially galling to crypto promoters because it’s in such stark contrast to the results of another Latin American monetary experiment: El Salvador’s attempt to make Bitcoin a major means of payment. The government of President Nayib Bukele made Bitcoin legal tender and spent large sums trying to promote its use. Yet the effort failed: cryptocurrency never caught on as a means of payment, and the plunge in Bitcoin’s price since last fall has inflicted large losses on El Salvador’s government.
Beyond special-interest opposition, Brazil’s digital currency clearly raises the ire of right-wingers who hate the idea of a government providing a service that could have been offered by the private sector, even — or rather especially — if the government can do it better. If we can have a digital dollar, why not a public option for health insurance?
Finally, the furious opposition to central bank digital currencies reminds me of the Trump administration’s all-out efforts to block development of wind and solar power. In both cases we see political players beholden to special interests — crypto when it comes to money, fossil fuels when it comes to energy — who claim to favor technological progress, but scream “not like that” when a superior technology doesn’t take the economy where they want it to go.
Now, using tariffs to punish Brazil for its monetary achievements won’t succeed. Politically, the move will only strengthen Brazil’s President Lula. Economically, the reach of the tariffs will be limited by Trump administration fears about driving the prices of coffee, orange juice, beef and other goods even higher. And as Monica de Bolle at the Peterson Institute for International Economics argues, Trump’s tariffs have on balance strengthened Brazil’s position: “Trade diversion around the globe as a reaction to US tariffs has turned Brazil into an export powerhouse,” with Brazil, for example, capturing much of the Chinese soybean market.
But the obvious folly of these new tariffs won’t stop them from happening. The Trump administration has declared war on the future — and one thing we know about Trump is that he never admits it when his wars of choice fail.
MUSICAL CODA
I know, they’re Catalan, but I really like this
I keep hearing anecdotes from people who used coding agents to reverse-engineer and automate devices in their homes.
I think this is an interesting illustration of the impact of the reduced cost of writing code.
Prior to agents, it was entirely possible to reverse-engineer home devices. The problem was the ROI - was it really worth all of that effort? More importantly, any experienced programmer knows that undocumented, unstable APIs like that may well change or break in the future. Is that initial work worth the effort if you're committing yourself to a frustrating cycle of maintenance in the future?
Coding agents change that equation entirely. The effort to get a simple automation working has dropped, as has the cost of trying and failing to get it to work. Since the code is so cheap, the idea of having to maintain it in the future - or throw it away and start again - carries way less psychological baggage.
Tags: reverse-engineering, coding-agents, ai-assisted-programming, generative-ai, ai, llms
Who’s Afraid of Chinese Models?
Interesting proposal from Ben Thompson that both addresses the hypocrisy of labs outlawing distillation against their models despite training on unlicensed data, and could help US open models compete more effectively with their Chinese counterparts:The U.S. should pass a law that (1) makes explicit that collecting data for training models is fair use, and (2) bars terms of service that forbid distillation, for U.S. companies at a minimum. Stopping distillation — which is literally just querying the API — is nearly impossible; the U.S. should go the other way and lean into a new copyright policy that both indemnifies the labs and also guarantees that what they learned fuels further innovation for everyone else.
Ben also theorizes that Alibaba's decision to release Qwen 3.8 Max as open weights - a reversal from their decision not to release Qwen 3.7 Max in May - may have been influenced by a recent speech by Xi Jinping, who said:
We should seize this rare, historic opportunity to encourage open source, openness, collaboration and sharing.
And on the subject of Qwen 3.8 Max - a new 2.4T parameter model (nearly as large as the 2.8T Kimi K3) - here's a pelican it drew:

I particularly enjoyed seeing these notes in the (extensive) reasoning trace: "Could add helmet? No." and "Maybe add small bell? no." and "Need maybe add small fish in basket? Not necessary."
Via John Gruber
Tags: ai, generative-ai, llms, training-data, qwen, pelican-riding-a-bicycle, ai-ethics, llm-release, ai-in-china
We have been having extensive discussions around open source strategy. We will discuss it more at our next board meeting, but one thing we’d like to do soon is to create a language model with the approximate capability of GPT-3 that can run locally on consumer hardware and release that. We’d like to do it soon, before Stability or someone else does. In general, we think this helps discourage others from releasing similarly-powerful models, and makes it harder for new efforts to get funded.
— Sam Altman, Email to OpenAI's board, October 1, 2022 - exposed in Musk v. Altman (2026)
Tags: ai-ethics, sam-altman, generative-ai, openai, ai, llms
Decades of absolute victory against the screwworm ended on June 3rd, 2026 when a farmer in Zavala County, Texas (pop. 9,600) notified the US Department of Agriculture (USDA) that he discovered a calf infested by these agricultural pests. An additional 30 cases have since been reported throughout America’s cattle herding heartland across Texas, and now we have reports of infected dogs in neighboring New Mexico. Just like that, America lost our war against an insect that once ravaged the nation. Happy Anniversary, America!
The screwworm is responsible for the disease known as obligate traumatic myiasis, which leads to the consumption of living somatic tissue in warm-blooded hosts. The flesh gets eaten. The wounds smell and hurt. Animals suffer and then meet their demise. Over the decades, this severe pathology has caused the deaths of hundreds of thousands of livestock, including 180,000 cattle during a single localized 1935 Texas outbreak. Until their eradication from the North American continent in mid-century, the screwworm inflicted the equivalent of billions of dollars of losses upon the American agricultural sector.
It’s a big deal that these pests are back, and now there is a race to figure out what to do about them. Luckily, an entirely new tech tree - based on CRISPR - developed since we last battled these pests. The multi-billion dollar is - will it be enough to save us?
The season is coming to an end, and the SheLeads educational program has already announced its winners. Each season, hundreds of young women participate in this initiative to turn their ideas into reality. The program guides participants through the journey from idea to product.
The program was launched through a collaboration between uBoost and the Tokarev Foundation, founded by impact investor Serhii Tokarev . This season, more than 300 young women took on the role of founders, and each pursued her own idea and approach.

Every year, the number of participants in the educational program grows, and this time it reached more than 300. Of these, 220 completed the full course, while 120 were assigned mentors to help bring their dream products to life. According to the jury’s decision, first place was awarded to three projects that are ready to change the world right now:
Each project addressed a major real-world challenge, and according to Serhii Tokarev , these young innovators represent Ukraine’s future. “SheLeads isn’t a competition. It’s proof. Ukraine will answer the question of who will rebuild the country – and SheLeads is shaping the very cohort of people who will do just that. Not someday. But right now – through a prototype, a pitch, and a first internship,” emphasized Serhii Tokarev.
Every year, the number of young women joining the educational program grows. This clearly shows that many of these participants will go on to become founders, developers, and innovators. “We see how participants come in with an idea and leave with a product, a team, and their first industry contacts. This is exactly the infrastructure of opportunities we want to create,” concludes Anastasia Deeva, CEO of the Tokarev Foundation.
The program’s impact doesn’t end with the finals, as participants gain valuable experience and make their first meaningful connections in the industry. Many participants go on to apply what they have learned in other programs. This season, for example, seven girls applied to the Technovation Girls competition, and two team projects made it to the quarterfinals.
SheLeads would not have been possible without the fruitful collaboration between uBoost and the Tokarev Foundation. The program was created to provide young women with not only the opportunity but also the necessary resources to build their own product. Each stage is both an experience and a challenge, with experienced mentors and industry experts supporting each participant. The program concludes with projects being evaluated by a panel of judges, as well as internship offers from teams at tech giants. This season’s partners include Sigma Software Labs, Ukrainian Startup Fund, Healthy Mind, and AI HOUSE.
The Tokarev Foundation is an organization dedicated to investing in the development of a successful, sustainable, and technologically advanced Ukraine through innovative projects. The foundation’s founder, Serhii Tokarev , is a Ukrainian impact investor, tech entrepreneur, founder of SET University, and the driving force behind AI HOUSE.
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The post Investing in the Future: The Serhii Tokarev Foundation and uBoost Sum Up SheLeads appeared first on DCReport.org.
Specialty healthcare often begins after a diagnosis has already disrupted sleep, work, mobility, or family routines. Patients may undergo infusions, lab monitoring, infection precautions, and insurance review, and may experience side effects that require quick judgment. Strong care begins with accurate prescribing, then continues through teaching, timely follow-up, and respectful coordination. Each contact should reduce confusion. When support feels steady, people can use more strength for recovery.
Specialty infusion brings together prescribers, nurses, pharmacists, benefits teams, payors, and manufacturers around a single treatment plan. For people managing immune, neurologic, inflammatory, or bleeding disorders, Acelpa belongs in a care model where medication handling, authorization, nursing oversight, outcome reporting, and family education must align before therapy feels dependable.
Patients rarely absorb every instruction during a stressful visit, especially with pain, fatigue, or a new diagnosis. Teaching should use clear words, written steps, and teach-back checks. Nurses can review dose timing, storage temperature, possible reactions, and warning signs before leaving the home. A call within several days can catch uncertainty early, prevent skipped doses, and protect trust.
Access means more than geographic distance from a clinic. It includes referral intake, benefit verification, medicine shipment, nurse scheduling, and quick answers when symptoms change. One missed handoff can postpone the first dose. Specialty teams should monitor referral age, authorization status, delivery accuracy, and start timing. These measures reveal where people wait, worry, or repeat personal details.
Personal support should be clinical and practical. A patient with a weak grip may struggle to open supplies. Another person may need translation, caregiver teaching, or refrigerator reminders. Home layout, mobility limits, infection risk, allergy history, and previous reactions all matter. Strong teams record these details once, then apply them during every call, delivery, and nursing visit.
Home infusion can preserve comfort, privacy, and routine, yet preparation must be exact. Nurses need enough time to review vascular access, clean technique, infusion steps, and emergency symptoms. Families benefit from knowing which concerns require urgent attention. Medication arrival, supply counts, and visit timing should match the prescribed schedule. Predictability lowers anxiety before treatment starts.
Data has value only when it drives action. Specialty providers can monitor adherence, adverse reactions, start dates, refill timing, emergency visits, and therapy response. Physicians need clear reports that separate routine updates from clinical risk. Payors need evidence that services reduce avoidable utilization. When a missed refill is identified, outreach should occur quickly, with notes shared across the care team.
Coverage problems can feel as heavy as physical symptoms. Prior authorization, benefit limits, site-of-care rules, and copay questions often appear before treatment begins. Administrative staff should explain the status in direct language. Patients need to know who owns the task, which record is missing, and when an update should arrive. Clear financial guidance protects treatment momentum and personal dignity.
Every role shapes the care experience. Intake specialists, pharmacists, nurses, drivers, and billing staff influence whether patients feel heard. Training should cover medication safety , privacy, escalation rules, empathy, and precise documentation. Leaders can review service recovery cases, call notes, and satisfaction comments to find weak points. Consistent coaching turns good intentions into reliable practice across the organization.
Patient surveys help, but they cannot tell the full story alone. Specialty programs should pair feedback with clinical and operational measures. Beneficial indicators include time to therapy, education completion, on-time delivery, adverse event follow-up, readmission rates, and treatment persistence. Regular review helps leaders adjust staffing, refine workflows, and direct attention where delays place health at risk.
Redefining specialty healthcare means treating the experience around treatment as part of treatment itself. Patients need accurate medication, skilled nursing, responsive insurance support, and instructions they can follow under stress. Families need steady communication and a home plan that feels reliable. When clinical data, compassionate service, and disciplined coordination work together, patients gain confidence, and care teams can pursue better outcomes.
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The post Redefining the Patient Experience in Specialty Healthcare appeared first on DCReport.org.
In 1988 I bought my first Toyota Tacoma 4X4 and started taking 2-3-week trips each spring in search of hot springs, wide open spaces, and adventure — getting out of precious Marin County into the comparatively wild west and shooting photos along the way. On two of these trips I put together hand-made books. I shot photos (here with an Olympus OM-1 and a Minox GT-E pocket camera) and had 4” by 6” prints made of selected shots.
I’ve done a bunch of one-off books, of no commercial value — each with the idea of taking you, dear reader, along riding shotgun with me.
With this one, working mostly at night, I then put together 11” by 17” pages, gluing down selected photos and hand-written text. I did panoramas of pasted-together (50 mm lens) shots (inspired by a black-and-white panorama I saw on the wall of Robert Frank’s house in Nova Scotia in the ‘70s).
I painted on some of the photos with water color pens.
I think hand lettering is more friendly than type, more conversational.
When I finished (took a few months of spare time work), I had two copies of each page printed on a Canon Lasercolor copier at Krishna Copy in San Francisco. (This was the first good quality 11” by 17” color copy machine, 37 years ago, which sold for about $70,000.)
Bookbinder Sandy Good glued the pages back-to-back and bound them together into two books — all-time small print run! I would send the book to friends in a plywood box and they’d return it after a while. Like a lot of my varied forms of communication, no commercial viability.
We did a digital short-run of about 25 copies (8-1/2” by 14”), which I gave to friends, but I can’t charge enough to sell them. Plus I don’t want to go back into the mail-order book business, so figure the best form is Substack.
This is the first of three posts on the book. Does displaying a book like this on Substack work for you? (-Communicator in search of appropriate venue)
Saddle up (passenger seat) and ride with me through the deserts and canyons and hot springs of the Southwest.

To be continued…
The strategy for China is obvious: commoditize your complements. Note that Xi explicitly ties openness to AI “moving from the digital world into the physical world”; the physical world is the world dominated by China, and the country’s lead in areas like robotics is going to massively benefit from widely available AI models.
Along the same lines, China does not want the U.S. to gain an asymmetric advantage in AI; to the extent that China can weaken the U.S. frontier labs while strengthening any and all potential U.S. adversaries so much the better, and it can benefit from the innovation that will attach itself to an open ecosystem.
And in sum:
The better course is clear: first, loosen Fable and Sol restrictions on cybersecurity, and second, ensure that U.S. open weight model makers are on an equal playing field with China. Yes, the frontier labs will kick and scream about this, but the Administration should realize that listening to their histrionics has led the U.S. to a position where U.S. companies are dependent on China for their defenses. Let the frontier labs win by being better; don’t let them define safety or security, or pull up the ladder of humanity’s collective knowledge. China is already hard enough to compete with; letting them carry the standard for openness and innovation is simply giving away our biggest advantage.
That is from Ben Thompson’s Stratechery (gated, but ungated link here).
The post Words of wisdom on Chinese AI and our responses appeared first on Marginal REVOLUTION.
Links for you. Science:
Mikhaila Peterson Is Reinventing Medicine Badly. Jordan Peterson’s daughter experiments with fringe medical hypotheses which she monetizes every step of the way.
From hijackers to architects: the role of prophages in bacterial genome evolution (yes, there are genes called “morons”)
Bones of Ancient Egyptian Princesses Reveal They Were Kind of Badass
Motivated understanding of NIH IC size
Homosexually Humping Corpse-Eating Beetles Here For A Good Time, Not A Long Time
New Monkey! New Monkey! There’s A New Monkey!
Scientists Discover Planet Has Everything to Host ‘Earth-Like Life’ In Breakthrough
Other:
State Sovereignty and Trump’s War Against the Constitution
403 – Forbidden (this is the title of a very good article)
ICE Brings The Occupation Home
Miami-Dade’s brushfires helped reveal that ICE violated over 100 court orders in South Florida
Top Tax Official Pushed Out After Clashes With Trump Administration: Assistant Treasury Secretary Kenneth Kies will be leaving the administration after reportedly warning that it might be breaking the law.
Road deaths up sharply in the nation’s capital, despite goal of reaching zero. D.C. Mayor Muriel E. Bowser pledged to eliminate traffic deaths in the city. More than a decade later, they still haven’t gone down.
In an Age of ‘Takeovers,’ D.C. Gives Teens Another Place to Party
Sports Illustrated caught the boos for Trump.
What are Trump’s connections to the Tate brothers exactly?
I Got Slopped. Someone used A.I. to write my biography. Thousands more of those books are polluting Amazon. Who is behind all this drivel?
Check out thousands of photos of midcentury D.C.
Artist Lucy Sparrow Opens a “Supermarket” in a Museum With 20,000 Hand-Felted Grocery Items
NYC Mayor Mamdani watches World Cup with Rikers Island inmates
Lake Oswego theater marquee sparks outrage in Jewish community
Zohran Mamdani Knows He Has Political Capital. And He Intends to Spend It.
‘Ideological Emigration’: The Most Optimistic Israeli in Jerusalem Is Leaving the Country
What permanent daylight saving time would mean for New England and our weather
Last week, Republican congressman and rightwing crank (but I repeat myself) James Comey introduced legislation to prevent D.C., the mainland colony, from raising taxes. As he is chairman of the relevant House committee, this has to be taken more seriously than much of the usual anti-D.C. legislation put forth by Republicans. As D.C. Council member Brianne Nadeau noted:
This would throttle DC’s ability to self-govern. The $1b hole in DC‘s budget was caused by Congress, not the District, which has balanced its budget 31 years in a row. We should have the right to implement sound tax policy like any other jurisdiction.
In other words, D.C. is having to raise taxes on its residents and business because Republicans in Congress, in 2025, refused to let D.C. use $1 billion in taxes D.C. had already collected. What Republicans actually want to do is inflict a backdoor cut on the District’s ability to provide services by limiting the tax revenue that can be raised.
I realize most people think of D.C. statehood in terms of two additional Democratic senators, but for the residents of the mainland colony, it is about our ability to govern ourselves. If Comey’s shit ass state of Kentucky ever had to put up with the kind of meddling in their state governance that D.C. does, D.C. statehood would be a sacrament.
I really hope, if Democrats hold the House, the Senate, and the presidency, that they pass a statehood bill, but, at this point, I have such a low opinion of Senate Democrats, I have no idea if they would*.
D.C. statehood now.
*In reality, the issue would be if senate Democrats would be willing to either end the filibuster or create a D.C. statehood carve out for statehood. I’m not optimistic.
Democrats in the Senate have developed a ritual they enact whenever a Trump administration nominee comes before their committees for confirmation hearings. One senator on the committee is chosen to ask this question: “Who won the 2020 election?” The nominee — every single time — responds with something like, “Joe Biden was certified as the winner.” The senator then says “That’s not what I asked.” They go back and forth a bit, with the senator trying to pin the nominee down and the nominee refusing to say that Biden won.
If you’re the kind of sicko who watches a lot of C-SPAN, you might be tired of this by now, since it has been repeated dozens if not hundreds of times. But I want to argue that it’s important for Democrats to keep doing it, and not just for the viral moments. Among other things, it’s a vital component of their strategy to win back control of the government in 2028.
Though this ritual has been repeated too many times to count by now, one recent iteration went somewhat viral, when Sen. Jon Ossoff asked the question of Jay Clayton, Trump’s nominee for Director of National Intelligence. There are a few reasons it got a lot of attention: 1) Democrats just love them some Jon Ossoff, and many are hoping he runs for president in 2028; 2) Ossoff is particularly good at this kind of questioning; and 3) he put a very important bow on the exchange. Have a look:
I’ve watched many of these episodes, and in the hands of a less skillful questioner, they often wind up losing their impact. After a few rounds back and forth, the senator ends it by saying something like “Well, I’m just shocked you can’t admit the truth. Anyhow, moving on…” Ossoff, on the other hand, not only doesn’t let Clayton get away with saying he answered the question, he frames the whole exchange at the end, so anyone watching understands what’s going on:
“Isn’t it humiliating to be unable to answer this question? To have to indulge the president’s delusions? We know, you know, everybody in this room knows the truthful answer to this question. Why can you not give it?”
By the standards of this administration, Clayton is a serious and accomplished person; he isn’t qualified for the job he’s being appointed to (he has no intelligence experience), but he was a white-shoe lawyer, chair of the SEC, and a U.S. Attorney. What’s important here is that joining the administration requires him to humiliate himself, to perform a public act of debasement required of anyone who would work for Donald Trump.
Ossoff might have gone further and said that not only does everyone know that Joe Biden won the 2020 election, Clayton himself knows it too, which makes his performance even more pathetic and repugnant. This flamboyant display of dishonesty and lickspittlery is required of everyone who works for Trump: You will have to not just indulge the president’s delusions but repeat his lies and act on his pettiest impulses, making yourself complicit in all of it.
Trump wants to prosecute his critics? Justice Department officials leap to do it, knowing the cases will get tossed out of court. Trump says the screwup of the no-bid contractor hired to seal the Reflecting Pool is actually the fault of “vandals”? Officials go on TV to insist it’s true. Trump says the Iran war is a spectacular victory? Every Republican has to agree.
And this is where we get to the next presidential election.
When a presidency comes to an end and someone from the same party as the outgoing president gets nominated, they often struggle to explain how they’ll be distinct — they don’t get much credit for the president’s accomplishments, but they get tarred with his shortcomings. It even happens when the outgoing president is popular; Al Gore struggled to explain how he would be his own man after serving as Bill Clinton’s VP for eight years, as did George H.W. Bush twelve years before. In 2024, Kamala Harris somehow didn’t anticipate that she’d get asked what she would have done differently over the prior four years (“There is not a thing that comes to mind”), which got her in a bunch of trouble. The more successful recent candidates — Trump, Barack Obama, George W. Bush — were able to define themselves as distinct from their parties, and didn’t carry the baggage of a prior presidency.
This problem will be even harder for Republicans to solve in 2028 because of the way Donald Trump has turned the GOP into a personality cult. There isn’t something called Bidenism or Obamaism, but Trumpism is absolutely a thing — and not a popular one. All the Republicans who will run in 2028 are tainted by it — especially J.D. Vance and Marco Rubio, but the rest of them too.
Being a Republican in the Trump era has meant many things, but one of the most important is that it has shown everyone involved to be weak. No one with any strength of character could succeed in Republican politics in this era. Not only did you have to lie, you had to tell lies when everyone knew you were lying, and communicate your approval of all Trump’s misdeeds.
When the 2028 election starts, no Republican is going to be able to escape the anchor of Trumpism. Not only will they need to pander to the MAGA base, Trump himself will still be around, and will demand that all the candidates offer him praise and fealty. If they don’t, he will unleash his wrath upon them — and because they’re all cowards, they won’t want to risk that.
To Ossoff’s question — Isn’t it humiliating? — the answer is, yes, it is humiliating. They all humiliated themselves again and again. They had to justify corruption, defend stupidity, echo bigotry, and applaud when America was damaged and degraded. They showed themselves to be spineless toadies, no matter how much they try to overcompensate by strutting around with their guts sucked in and their chests puffed out while they call their opponents gay.
This is the point that Democrats have to keep hammering for the next two years: These people — all of them — are weak and pathetic. The more voters understand that, the harder it will be for any Republican to win the White House in 2028.
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Safe housing is more than a personal concern. It is a public issue that affects health, education, economic opportunity, and neighborhood stability. When rental properties are properly maintained, communities become stronger and more resilient. When serious maintenance problems are ignored, the effects often extend beyond individual households. In situations where tenants face unsafe living conditions that remain unresolved, speaking with a slumlord attorney may help them better understand the legal protections available under applicable law. At the same time, prevention, accountability, and responsible property management remain the most effective ways to create safe housing.
The condition of rental housing influences much more than the people who live inside a single building. Well-maintained properties contribute to healthier neighborhoods, stronger local businesses, and greater community confidence.
When buildings receive regular maintenance, residents are more likely to remain in their homes, businesses benefit from a stable workforce, and neighborhoods experience greater long-term investment. Safe housing also supports public confidence in local communities and encourages continued economic development.
By comparison, neglected properties can create challenges that affect nearby residents, property values, and public resources.
Housing conditions play an important role in public health. Problems such as persistent moisture, mold, pest infestations, poor ventilation, damaged plumbing, or unsafe electrical systems may create concerns that affect residents over time if they are not addressed promptly.
Routine inspections and timely repairs help reduce these risks while creating healthier living environments. Property owners who respond quickly to maintenance concerns often prevent small problems from becoming more significant issues.
Healthy housing benefits not only individual families but also schools, employers, healthcare providers, and the wider community.
Maintaining rental housing requires consistent attention rather than occasional repairs. Regular inspections allow property owners and managers to identify maintenance concerns before they become expensive or difficult to resolve.
Addressing roof leaks, plumbing problems, damaged flooring, broken windows, heating systems, and structural issues promptly helps preserve the property while protecting residents.
Preventive maintenance also reduces the likelihood of emergency repairs, limits long-term costs, and demonstrates responsible property management.
Many housing concerns can be addressed through timely communication between tenants and property owners.
Residents should report maintenance issues as soon as they become aware of them, while property managers should acknowledge reports, schedule inspections, and provide updates throughout the repair process. Written communication creates a reliable record that helps everyone understand what has been reported and what actions have been taken.
Clear communication often prevents misunderstandings and encourages cooperation before disputes become more difficult to resolve.
Building codes and housing standards exist to encourage safe living conditions and establish clear expectations for property maintenance. Although requirements vary by jurisdiction, these standards generally promote regular upkeep, timely repairs, and responsible property management.
Housing inspections, maintenance records, and repair documentation all contribute to greater accountability. They also help property owners demonstrate that reasonable steps have been taken to maintain safe conditions.
For tenants, understanding basic housing standards can make it easier to recognize when maintenance concerns should be reported.
Communities benefit when residents have access to safe and dependable housing. Stable housing allows people to maintain employment, support local businesses, and participate in neighborhood life.
Employers also benefit from workers who are not facing repeated housing disruptions. Schools experience greater continuity when families remain in their communities, while local businesses often benefit from long-term residents who invest in the local economy.
These broader economic effects illustrate why housing quality is not only a private concern but also an important public policy issue.
Many housing disputes begin with uncertainty rather than intentional wrongdoing. Tenants may not know when to report maintenance concerns, while property owners may underestimate the importance of prompt repairs or clear communication.
Educational resources help both parties understand their responsibilities and encourage practical solutions before problems grow. Reading lease agreements carefully, documenting maintenance requests, and keeping organized records all contribute to better decision making.
When expectations are clearly understood, many housing concerns can be resolved more efficiently.
Safe housing depends on cooperation among tenants, property owners, property managers, inspectors, and local agencies. Each plays a role in maintaining residential properties and protecting the people who live in them.
Although some disputes require outside assistance, many can be avoided through preventive maintenance, open communication, and consistent attention to property conditions. These practices support stronger neighborhoods, healthier residents, and more stable local economies.
Communities thrive when housing is treated as a shared responsibility rather than a short-term obligation. Investing in safe rental properties, responding promptly to maintenance concerns, and encouraging accountability benefit everyone involved. Strong housing standards ultimately support healthier communities, greater public confidence, and a more sustainable future for both residents and property owners.
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The post Why Safe Housing Is Essential for Strong Communities appeared first on DCReport.org.
1. “In all three countries, declining places displayed higher animosity prior to salient populist campaigns.” In their tweets.
2. Sunstein on Hayek and conservatism.
3. Jacobian conjecture proved false. Fable found a counterexample that fits inside a tweet. From the strawberry guy: “in the areas that the labs are targeting, we’ve achieved artificial super intelligence. no single human and perhaps all of humanity could compete with this intelligence. once the model gets good enough at training future models this level of intelligence will spread to all domains.”
4. Redux of my CWT with Emily Wilson on The Odyssey.
5. The Great Awokening had a strong upper-class accent (research from Harvard). And which immigrants do citizens prefer?
6. Balkan notes.
7. How to sell your edition of The Odyssey (NYT).
8. Profits!
9. CAISI update.
The post Monday assorted links appeared first on Marginal REVOLUTION.
Tropical storm Helene created a massive communications blackout in Western North Carolina, killing internet and cell service for most of the 400,000+ people who live in the greater Asheville area. Even 911 was down. But for Thomas Witherspoon, 53, of Swannanoa, his ability to communicate during the storm was relatively unaffected.
There are a few reasons for that. Earlier that year, the Witherspoon family had upgraded to satellite internet. They’d also gotten solar panels, installed with a whole-house battery system that allowed them to keep their electricity and live completely off-grid. In the weeks after the storm, their house became an impromptu internet cafe for the neighborhood. They shared provisions, too, cooking for each other before the food went bad. “Our neighborhood was very self-sufficient,” Witherspoon said with a glimmer of pride.
But it was his amateur “ham” radio that provided a critical connection to the outside world. One day, after a post-storm meeting with his neighbors, Witherspoon called the Mount Mitchell radio “repeater” — a mountain-based station that extends the range of two-way radios by re-transmitting them at a higher power — and requested the supplies the neighborhood needed from the local fire department. The next day they received a delivery of chainsaw chains, coffee and other essentials.
“Even though I had internet at the house,” Witherspoon said, “who would you email for that? So having this was like having a direct connection to an entire emergency infrastructure.”

Many Western North Carolinians were well-connected before the storm, though Census data shows that over 14% of Asheville residents still lacked access to broadband internet pre-Helene. But even those who had reliable connectivity faced a near-total blackout in the storm’s immediate aftermath. According to North Carolina’s Statewide Interoperability Coordinator Greg Hauser, who spoke at a Federal Communications Commission roundtable on July 7, 2025, over 1,700 miles of fiber optic cable was lost or destroyed during Hurricane Helene, and many of the region’s cell towers were knocked over. Even three weeks after the storm, thousands of people still hadn’t gotten their electricity back.
With power lines down and wifi cables damaged, it was the folks with a much older method of communicating – the amateur radio operators – who were able to bridge gaps and connect those in need of life-sustaining services.
“Radio is not something I thought much about until this storm,” said Sara Nichols, energy and economic development manager at the Land of Sky Council, a multi-county local government organization based in Asheville, but it “was a saving grace for a lot of people.” Those who had knowledge of and access to that technology were in a far better position than those who didn’t. Plus, “having life skills is like an Appalachian dream, you know?” she said.
“Ham radios” are handheld, two-way radio devices with a speaker, microphone and antenna. They look similar to a walkie-talkie, but they allow for the use of repeaters. Since ham radios operate on high frequencies, which travel in straight lines and are easily stopped by obstacles, radio repeaters are usually placed on a mountain peak or atop a tower.
There’s a finite amount of radio frequencies available with existing technologies, so it’s licensed and regulated by the Federal Communications Commission. That means amateur users need to take a test and pay a fee to legally be allowed to use it. Ham radios operate on a vast spectrum of different bands, including HF (high frequency), VHF (very high frequency) and UHF (ultra high frequency).

Amateur radio was born in the early 20th century, as advancements in wireless communication technology attracted scientists and hobbyists alike to experiment with it. During both world wars, radio usage for amateurs was banned or restricted, and hobbyists were sometimes called to apply those skills in service of the nation. As cellphones and the internet became more popular over the years, radio’s popularity dwindled, and many municipal governments stopped investing in it.
“When decisions about investments were being made,” Nichols explained, “they often were not made with the radio as the priority, because it wasn’t where things were headed.”
Another transmission method whose advantages were highlighted during Helene, called general mobile radio service or GMRS, operates on a more limited range of UHF bands but still allows the use of the repeater.
For Justin Hamel, a 41-year-old father and longtime amateur radio enthusiast based in Fairview, GMRS is a more accessible alternative to ham radio, which has a more intensive licensing process and a slightly less welcoming culture.
“There’s a lot of typically older gentlemen in ham radio,” Hamel said, “and they practice a lot of gatekeeping.” But with GMRS, he said, it’s “easy for normal people to use. I say normal in comparison to nerds like me.”
Helene turned Hamel from a radio enthusiast to an evangelist. When the storm hit his neighborhood in a mountain cove of Fairview, he lost cell service, power and internet. The cell towers “were just kind of dropping like flies one by one,” he said, “when either they were damaged, or they ran out of what I assume to be diesel generator backup.” A landslide had also blocked his family’s exit path, so they were trapped and otherwise cut off.

Hamel’s mother lives in Houston, and he needed to find a way to let her know his family was OK. Luckily, he’s had his ham radio license for over a decade. He called the Mount Mitchell repeater — the same one Witherspoon contacted — and they were able to contact his mother. “They said, ‘no problem, we’ll get back to you in about 5 minutes. Just stand by,'” Hamel said. A few minutes later, they called him back and let him know his mother was crying with joy.
“She was so thankful to hear that we were OK,” he said, “because from her perspective, seeing it on the news right after the storm, it was just all doom and gloom. There were no other positive stories yet, and nobody really knew what was going on on the ground other than it was just really bad.”
Once he took care of his own family, he turned his attention outward to others who needed help. Hamel is vice president of his homeowner’s association, and he stayed behind with a “skeleton crew” of neighbors to help clear debris. One of Hamel’s other neighbors had fled to his second home and offered to bring supplies for them, asking what they needed.
“Please bring radios,” Hamel told him. The neighbor brought a bunch of family radio service (FRS) radios, which Hamel said are the same kind you can buy at Walmart. They’re low power and low range, and while they were better than nothing, they were far from ideal. The houses in Hamel’s mountain cove are spaced far apart, so the lower power of the FRS devices couldn’t connect everyone in the neighborhood.
“On a mountainside, with all that rough terrain, and just the distances we were trying to talk, it didn’t work well,” he recalled. “But it did get the neighbors interested in radio. They saw it as being a viable backup.”
And that’s all he needed to start thinking big about what he could next.

The rise in amateur radio interest is especially significant, given that public communications resiliency has been so patchworked. There have been many improvements since the storm, but it’s hard to get a sense of what is still down, said Nichols, of the Land of Sky Council.
Since Helene, Nichols has been attempting to map areas where broadband internet is still down, which is harder than one might think. “Broadband companies do not have to — nor will they — essentially show you the map of where the infrastructure is,” she said. On top of that, “I am anecdotally aware that there are places that these providers did not build back because the infrastructure they had to those homes was never profitable.” Without those clear maps about what communities are still not getting internet service, Nichols has had to find workarounds to get the data she needs.
In a draft communications resiliency plan Nichols wrote, which she hopes to present before the end of June, she writes that although public officials had thought systems were redundant — or had ample backup in case of disaster — many of them actually shared the same infrastructure. So when specific fiber routes or power dependencies went down in a “cascade” of failures, whole swaths of communication went dark. The plan lauds radio as the “primary reliable method” of communication during Helene.
It also calls for “Physical Resilience Hubs,” or sites equipped with satellite internet, radio technology and solar panels for reliable power. Nichols said she got a $500,000 grant from Dogwood Health Trust, a local nonprofit, to start building these resilience hubs for 18 counties in Western North Carolina including Buncombe, Rutherford and Madison. Also, Nichols shared that a technology company expressed interest in potentially partnering with the council on these hubs. She declined to share the name of the company, but said that in the next couple of months, they plan to use that company’s tech product and that the company also plans to contribute funding to the project.
In the meantime, Hamel has been working hard to increase amateur radio use as well. After Helene, he founded the WNC Radio Project, an all-volunteer organization that works to maintain and grow the network of repeaters in the region. WNC Radio Project’s nonprofit status was approved on March 5.
He’s also been raising funds to keep the new repeaters updated to prevent wear and tear. Recently, Hamel installed a heat exchanger to help the structure shed heat during the summer. And he’s currently fundraising to get a plaque made to highlight the over 50 names of people who helped with or donated to the project.
Finally, Hamel started offering GMRS fundamentals classes to help familiarize people with the technology and licensing process. The key, he said, is that teachers hold students’ hands throughout the entire license application. “It’s amazing how cheap and expansive that GMRS license is,” he said, but “the FCC does not make it a linear or easy process” to get it.
“It really spread like wildfire to some degree,” he said. People are driving up to an hour to get to his classes. As of March, he had taught about 15 sessions on GMRS, each of which had approximately 20-40 people in attendance.
“There’s truly a need,” Hamel said, “and we’re trying to meet that need.”
In fact, across the Western North Carolina area, GMRS license applications have ballooned since the storm. In the year after Helene, the number of GMRS licenses approved in North Carolina increased by 36.34%, according to license data from the FCC. The increase in Western North Carolina has been more dramatic: From late September 2024 to 2025, GMRS licenses increased 575% in Fairview, 600% in Swannanoa and 517% in Black Mountain.
Repeater infrastructure has gotten more robust, too: The WNC Radio Project has successfully launched two new repeaters so far, and Hamel said he was aware of four other repeaters that have come online since the storm, including one in Yancey County that just went live in April.
But this is all at the grassroots level. “There’s no government push to do anything,” Witherspoon said. “It’s mainly just the community that pushes to do it.” It’s part of a greater pressure — to be prepared for a disaster — that people have felt since the storm.
Chloe Button, a 14-year-old freshman at A. C. Reynolds High School, is turning her Girl Scouts project into a beacon of disaster communication preparedness. Button lost her 20-year-old brother Nathan just days before Helene came. He was hit in a collision with a drunk driver. Nathan was an organ donor, and amid the storm’s chaos, Button’s mother Michelle Yates flew him out in a helicopter to Charlotte to facilitate the donation process. That left Button alone during Helene with her stepfather and unable to communicate with friends until the wifi returned.
After school came back — over a month after the storm — Button remembered the school sending a form to all students, asking whether they knew anyone who was hurt or had died from Helene. “It was pretty scary,” she said.
The experience of a communications blackout stuck with her. Later, to achieve her Girl Scout Gold Award, Button decided to create disaster communication packs for local churches and her local fire station, which included radios and instructions about how to use them. Button’s brother was also a ham radio enthusiast, and the packs have a memorial card commemorating him.
Button will donate the packs to all fire stations in Fairview and several churches and other organizations. She’ll present on her project and be given her Gold Award at a ceremony in May.

“I like the idea that, like, you can just communicate with people so far away,” Button said. It also connects Button to her grandfather, Craig Tyler, who passed away in 2023. He was a radio and model train enthusiast and had a collection in his basement.
Meanwhile, Witherspoon continues to give keynotes and other speeches about disaster communication, preparedness and what his Helene experience taught him. He’s given almost 20 public presentations on this so far, and he’ll also be speaking at an American Radio Relay League (ARRL) convention in May.
The more robust the network of radio repeaters gets, the more accessible it is to the entire area — since generally a GMRS radio needs to be within 10 to 25 miles of a repeater to work, depending on the terrain. Similarly, Hamel continues the work to maintain the two repeaters he helped install and potentially build new ones. Most recently, he’s been meeting with community leaders in the Broad River Valley near the hard-hit community of Bat Cave, about an hour west of Asheville, to try and get a repeater installed there.
“Even in the modern day,” Hamel said, “there are still some tools like radio that we still fall back on when our modern technology or modern conveniences fail. When your furnace goes out in the dead of winter, and nobody’s getting to you, what do you do? You light a fire. We go back to lighting a fire. And that’s how I feel about radio: it’s just one of those core technologies that we can always fall back on when we need to.”

Broad frequency access; requires FCC exam and license fee; supports long-distance communication via HF, VHF and UHF bands.
General Mobile Radio Service; simpler license process; supports repeater use on UHF; considered more accessible for everyday users.
Family Radio Service (e.g., Walmart walkie-talkies); no license required; low power, short range; does not support repeaters.
Amateur radio operators provided emergency communication when cell service, internet and even 911 systems failed, helping residents request supplies, contact family members and coordinate relief efforts.
The storm destroyed fiber optic lines, damaged cell towers and caused widespread power outages, leaving much of Western North Carolina without internet, phone service or emergency communications.
The storm highlighted the importance of redundant communication systems, community preparedness, resilience hubs powered by solar energy and satellite internet, and expanding access to amateur and GMRS radio networks.
This article is part of Caught in the Current: Helene Recovery in Asheville and Beyond a project that we have partnered on with the School of Journalism at Northeastern University. Their enterprising students took on the story of Asheville, North Carolina, a community still dealing with the devastation of Hurricane Helene, 18 months later. As part of our mentoring program, we’re amplifying their efforts by sharing the amazing work produced by their students. Visit the official interactive magazine for the project HERE.
“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 Amateur Radio to the Rescue appeared first on DCReport.org.
A recent story of a writer who was mistakenly identified, tracked, and arrested using data from Flock cameras has gone viral.
The New Jersey plates that were allegedly stolen from the LA dealer were 34 03 DTM, not 34 10 DTM. But when the police report was created and the plate was entered into Flock’s system, it was just recorded as 34 DTM. Just the five large characters, no little number in the middle. And Flock’s AI tech wasn’t registering that non-standard little number when it began picking up the Range Rover around town. It just saw 34 DTM in large type and started alerting the local police.
As we all stood there shaking our heads, including my wife, who was finally allowed to join me, I connected the final dot. A lot of vehicles in JLR’s media fleet have a New Jersey manufacturer plate with the same alphanumeric structure34 ## DTMand Officer Ganshyn observed that meant it was now a nationwide issue. Anywhere a police department has a partnership with Flock, any other JLR-owned car with the same plate structure is going to get flagged as stolen. In fact, four other 34 ## DTM cars were being tracked around Minnesota that week, according to Officer Ganshyn. I was just the first one to get nabbed. The only way to stop it would be for the LAPD to correct their initial report and update Flock’s system, which Jaguar Land Rover was now racing to make happen following the phone call.
Flock has responded to the bad press. First, they affirmed that their systems were working correctly, and blamed the police:
The obvious question was that Flock cameras were looking for 34 DTM, and the plate on the car I was driving was 34 10 DTM. Why was that flagged as a match?
“The way that the ML [machine learning] works is it correctly read what it was supposed to read. It was fed those characters that you said, 34 DTM, and it spit back out [a result] with the characters, 34 DTM,” Thomas said. “It was asked, can you find this? And it did find that. It just didn’t say if there’s more here, then don’t do it. It just simply said, is it there? And the answer was yes.”
He explained that even if the 10 was normal size, Flock would still have flagged it as a match, because that’s how they’ve set it up according to law enforcement’s requests. Sometimes partial plates are all they have to go on at first.
“The way that law enforcement likes to use these tools is, if any of the characters that they have put into these hot lists get read, they want to get those alerts,” he said. “Now, what we try to train officers to do is to do what you said, which is to verify that 34 DTM is what I’m looking for, and what I’m seeing is 34 10 DTM.”
Second, Flock’s CEO has apologized for calling privacy advocates terrorists:
The CEO of Flock Safety, the company that runs an enormous network of cameras used by police departments across the U.S., hasn’t been shy about taking on Flock’s critics. Last year, he even called one group that tracks the location of Flock cameras “terrorists.” But he’s had a change of heart. Or, at the very least, a change in PR strategy.
Meanwhile, the police are using (alternate source) the Flock camera network to track people in addition to cars:
Police departments around the country have used Flock cameras at least hundreds of times to search for specific people, not cars, using searches such as “heavy-set male with a black and white hat,” “person on skateboard,” and “person wearing orange vest and construction hat,” according to data reviewed by 404 Media. Sometimes searches reference a target’s race or signs of their political affiliation.
And, like all police surveillance technologies, there are abuses.
Last time Electromagnetic Field was on, two years ago, I felt a bit bad that I didn’t go given that I would love there to be more events near here that interest me, and this was fairly close. But I don’t like camping and also don’t like driving far (the site is about an hour away from us), so I didn’t go then and, again, this year I didn’t try to get tickets.
But at the beginning of this week I saw a post saying there were some people who couldn’t make it selling spare tickets and, this catching me at a good moment, I ended up thinking, “I can drive there and back for a couple of days, no problem!” and so I bought a ticket.
So, while I felt like a bit of a tourist – only being on site for 10 hours on Saturday and 6 on Sunday – I did go and I had a good time.
I wasn’t sure what to expect but it was bigger, with more structures, and even nicer than I expected. It felt very chill, everyone friendly, and full of people who appeared comfortable dressing and being however they wanted. In this, and a few other respects, it was like the best aspects of Burning Man (from my memory of over two decades ago).
While it’s kind of a “tech” festival it was very, very much not “tech bro”, and I can imagine some awful MAGA politician or influencer having some kind of breakdown if they were transported there, faced with the lack of manly testosterone or whatever. I might be very straight, cis, white, male, middle-aged, and “conventionally”-dressed but it’s great to be somewhere that others can be whoever they are, and everyone is chill about it (as far as I can tell).
All-in-all it was amazingly well organised, curated, hosted, planned, run, etc., very good, top marks Jonty, Russ, and co.
I ignored the advice I got from a couple of people about skipping the talks and watching the videos later, because going to talks is a great way to fill the time and (rightly or wrongly) to avoid the stress of making too much conversation. Here are videos of the good ones I went to:
Some others I went to were very information-dense, rather than entertaining, so unless you already knew something about the topic, or were otherwise really into the details of it, they were a bit hard going for me. But there are plenty more videos to browse through.
I also bumped into several people I haven’t seen for years, or even decades, which was very nice, and put quite a few new faces to avatars (sorry kids, I mean pfps). As I may have said before at some point, I’m not sure if my ability to make conversation in groups has atrophied over recent years or, more likely, was already pretty poor and has had no chance to improve. But, still, lovely to have quick chats.
And I’m glad I didn’t camp because I was already pretty tired by the time I ducked out on Sunday afternoon, even having missed the hottest of the recent hot days. And the driving was, it turned out, as good as it could get – mostly fairly traffic-free A-roads twirling through the countryside, and I knew enough to avoid the tiny, steep road Apple Maps insists on directing you onto through Ludlow. Still, it was a relief to get there and back without serious mishap.
§ We went to see The Odyssey and it was fine I guess. Everyone else loves it apparently and I do find myself agreeing with most of the things people like about it. Apart from the casting of Matt Damon who, on returning to Ithaca, seems more like someone who got distracted for a bit too long on the way home from the gym, rather than a man who’s been lost for twenty years. I didn’t like The Return (2024, Uberto Pasolini) that much but Ralph Fiennes was much more convincing.
It all looked good, told the story well (I assume; my knowledger is sketchy), had some good performances (Samantha Morton especially good), and really didn’t feel like 3 hours.
But there was a lot of exposition that everyone had to struggle to deliver convincingly. And the hammering home of “Zeus’ Law” felt like such a clunky, repetitive, Hollywood simplification of something. And it turns out it was (an invention, anyway).
And, as a non-American, almost all the accents being American is something I found oddly off-putting. I couldn’t help seeing all the people as stock American movie and TV characters, bringing all the baggage of gangsters, cops, marines, divorced dads, incels, MAGA bros, whatever, into it all. Had everyone been British I might not have thought about this side of things, so I’m not saying any of it is wrong, just how it felt to me as an “outsider”.
This also meant that the movie seemed like an allegory of the USA’s behaviour: over-confidently invading and pillaging countries, bursting into homes with weapons drawn, all while expecting to be warmly welcomed and wondering why they’re not. I now expect US soldiers in foreign countries to cry, “Zeus’ Law! Zeus’ Law!” whenever they meet opposition, whether from governments or individuals.
But, you know, most people can just enjoy it as a good action pic.
§ We also watched Mission: Impossible III and, at last, after the so-so first movie and the bad second one, this was good! Lots of fun, pretty non-stop, everything Aanand’s review says. See, I can like a fun action movie!
§ That’s all, a bit late. I am quite tired a lot these days. Not sure if it’s one or many causes, but I just want to hide and sleep for a few weeks.
Obviously, testosterone doesn’t make us smarter or savvier, more capable to handle complex situations quickly or to adjust to an opponent.
Otherwise, War/Defense Secretary Pete Hegseth would be getting calls from Mensa’s brain crowd about instant membership.
Hegseth, a constant advocate for muscularity over empathy, now is ordering testosterone deficiency testing for all military members over 30 and the standing order to undergo shots for any perceived low-T result. He sees eliminating testosterone deficiency as a way of “restoring and optimizing your natural capabilities” and retaining our military’s “leading edge of lethality” for the individual Warfighter.
That’s unless you happen to be a woman, whom Hegseth would prefer to avoid combat altogether — or the commander in chief, who seems to have plenty of unharnessed testosterone but not much physical agility.
By contrast, Hegseth has dropped shots for flu or Covid, apparently out of the mistaken belief that masculine toughness is naturally resistant to, say, contagious virus. Just for the record, flu , measles and other respiratory infections have turned out to be concerns for the military stationed near Iran because of high density living aboard ships or in camps.
Hegseth prides himself on his own tip-top physical conditioning now that he apparently turned away from consuming lots of alcohol, complete with public pushup contests with Health Secretary Robert F. Kennedy Jr., delight at White House martial arts demos, and fat-shaming for overweight generals. He firmly believes that a muscular soldier is a more dangerous warfighter and thinks he has the power and position to force testosterone treatments to assure that lethal edge.
Maybe this is what Hegseth believes passes as military intelligence, partly explaining why he constantly sees bombing in Iran separate from achieving an overall strategic objective.
Only, it turns out that Hegseth, um, may not quite understand what he is talking about.
Let’s start with testosterone, a primary steroid hormone essential for male reproductive development, muscle mass maintenance, bone density and sex drive. Not lethality. What Hegseth probably wants is more male soldiers who accept his socialized view of toughness or masculinity, not a specific steroid count.
The medical research is clear: There is no “normal” level of testosterone.
In fact, blood levels of testosterone can “vary dramatically over time and even during the course of a day,” according to a Harvard Medical School study, making a snapshot less than definitive. Add in a large study by the National Institutes of Health that concluded in young to middle-aged males, “testosterone levels are positively associated with muscle mass but not with muscle strength” – or presumably lethality. The Food and Drug Administration warns that testosterone-boosting drugs of the sort that Hegseth is ordering can produce high blood pressure, blood clots and mood changes.
A decade ago, I underwent prostate cancer surgery, radiation and hormone treatments to halt the testosterone that fed the cancer. It left me hairless and more fatigue but did not seem to touch either quickness of thought or any killer instinct I may have been harboring.
Apart from all else, the Pentagon is in court on a case about dropping flu shots arguing that it cannot manage widespread vaccinations. T-shots could involve hundreds of thousands of military members, a seemingly at odds with what is being argued in court.
In its recruiting materials, the Army itself says it wants soldiers who blend physical resilience with strong character and mental discipline. Desirable traits include the capacity to endure stress, ethical integrity, the ability to function seamlessly in a team, and an unyielding commitment to the mission.
Where does it say manly men and testosterone? Or the desire to kill people? The Army’s materials say what is valued are loyalty, duty, respect, selfless service, honor, integrity and personal courage. It seems like a good list, requiring commitments that don’t include testosterone-building drugs.
Hmm. I’d like to know the testosterone level of those Navy Blue Angel pilots who thought it an perfectly reasonable idea to dive to just above beachgoers in Florida, sending umbrella spikes flying dangerously through the crowd – all to the plaudits from Hegseth and the acting Secretary of the Navy, Hung Cao. Sure, the action could have been lethal, but where was the judgment?
As columnist Fred Kaplan argues in Slate.com, the bigger fallacy here is that even if Hegseth’s assumptions about testosterone are correct, they may have little to do with the nature of modern warfare or the talents, abilities, or “lethality” of a modern “warfighter” who launches missiles or directs drones from over the horizon.
Obviously, some combat centers on individual heroics and physicality. It is possible that a low testosterone level may affect endurance of special ops teams, for example.
But daily, we are redefining a new era in warfare as the need to understand robotics and artificial intelligence, computer programming and the links among economic, diplomatic and military concerns. We are valuing quickness of mind over quickness of fists.
The modern army, navy and air services are as dependent on understanding cultural issues, language and communication skills, and the coordination of international intelligence findings as they are on brute force, regardless of gender, political outlook or obedience.
These all reflect skills that Hegseth has discouraged, barred, cut or eliminated for our military enlisted and officers alike.
If Hegseth could interrupt his pushups long enough, perhaps he could think more clearly.
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The post There’s no ‘T’ in War appeared first on DCReport.org.
Are some children more gifted than others, and can they be identified in ways that aren't irreparably confounded with socioeconomic status? Those questions are part of what lies behind long-standing controversies about public schools that require entrance exams (typically high schools), and interventions for gifted children at earlier ages.
Below are two recent stories that tackle those questions from different parts of the life cycle, i.e. from exam-school admissions to adult achievements.
Here's a NYT story about admissions:
An Elite N.Y.C. Public School Admitted 777 Students. Only 3 Were Black. New York’s specialized high schools give disproportionately few seats to Black and Hispanic students, continuing a pattern that has drawn criticism. By Matthew Haag July 14, 2026
"About 62 percent of the students in the city’s public schools are Black or Hispanic. But at its eight most prestigious high schools, about 10 percent of the students in the incoming freshman class are expected to be Black or Hispanic, roughly the same as last year. About 80 percent of the seats went to Asian and white students.
"At Stuyvesant High School in Manhattan, often considered the most selective of the city’s specialized high schools, three of the 777 offers were made to Black students, and 21 were for Hispanic students, together representing a nearly one-third decline from the previous freshman class. One Black student was admitted to Staten Island Technical High School.
"While only 5 percent of high school students attend a specialized school, the annual release of the admission results has stirred debate and scrutiny for decades, especially as the profile of students in those schools stands in stark contrast to the rest of the school system, the nation’s largest. Gaining entrance to the schools has been perceived as a path out of poverty and a gateway to the nation’s top colleges and, perhaps, a flourishing career.
...
"Critics have called the one-day, high-stakes test racially discriminatory, saying it does not capture a student’s intelligence or capabilities. Supporters say it is a fair, rigorous and meritocratic assessment."
...
"“It’s not how we do admissions for colleges, for law school, for business school, for medical school,” Mr. Restler said. “How on earth do we do it for these specialized high schools?”
"Yiatin Chu, a public school parent and the co-founder of Parent Leaders for Accelerated Curriculum and Education, a group that has supported gifted and talented programs, said that the entrance exam was a “race-blind, income-blind test."
###########
And here's an article from New Scientist on adult achievement:
We’re finally learning what happens to gifted children in adulthood
A spate of new studies is revealing the lifelong impact of being marked as exceptional during childhood – and the results suggest we may need to revise how we view giftedness
By David Robson, 15 July 2026
" a spate of studies is providing answers and revealing the fascinating lifelong impacts of being marked as exceptional at a young age.
"Far from growing into troubled adults, many gifted individuals appear to flourish later in life. Long-term studies suggest they are more likely than average to achieve professional success and, contrary to popular stereotypes, often enjoy better mental health. Scientists are also starting to understand what makes gifted brains so exceptional, finding that they are better integrated and can process information more efficiently, which raises the question of whether we should view giftedness as another form of neurodiversity. While that is still an open debate, what is becoming increasingly clear is that many of our assumptions about extraordinary minds – and the lives of those who possess them – may need revising.
...
“Despite their exceptional talent, identifying gifted children is challenging, especially when accounting for differences in socioeconomic backgrounds. Even though genetics play a large role in intellectual development, family circumstances heavily influence performance on traditional intelligence tests, particularly in early childhood. Children growing up in working-class families tend to develop a smaller vocabulary in their first years, for instance, which may increase the likelihood that teachers or psychologists ignore their learning potential.”

Update July 20, 11:18 a.m. EDT (1518 UTC): SpaceX aborts the mission after ignition.
SpaceX suffered its second launch scrub in less than a week after its Falcon 9 rocket failed to launch from Vandenberg Space Force Base on Monday.
On-screen telemetry graphics showed all nine Merlin engines briefly ignited before quickly shutting down. SpaceX ended its broadcast prior to offering an explanation and didn’t immediately share further details on social media.
“Standing down from today’s Starlink launch; vehicle and payload remain safe,” SpaceX wrote in a brief post on X.
The Starlink 17-39 mission was set to add another two dozen of SpaceX’s Starlink V2 Mini broadband internet satellites to its massive low Earth orbit constellation. Liftoff from Space Launch Complex 4 East was timed for 7:49 a.m. PDT (10:49 a.m. EDT / 1449 UTC). The company’s website now lists the next launch opportunity as being Tuesday during a window that opens at 7 a.m. PDT (10 a.m. EDT / 1400 UTC)
The Starlink 17-39 mission was using the Falcon 9 first stage booster B1082. This was going to be its 23rd flight after launching the NROL-145, USSF-62, and OneWeb Launch 20 missions, plus 19 Starlink deliveries.
The Monday morning mission was scheduled to be the 85th Falcon 9 rocket launch of the year and the 667th to date.
The last time a Falcon 9 launch encountered an abort after engine ignition was June 14, 2024 during the Starlink 10-2 mission launch attempt. That mission ultimately launched on June 23, but using a different first stage booster.
This launch abort came just days after a similar post-ignition abort of SpaceX’s Starship-Super Heavy rocket from down at its Starbase facilities in southern Texas. The company had to scrub the Flight 13 launch attempt and founder Elon Musk announced that at least two Raptor engines would need to be “removed and replaced.”
SpaceX is currently targeting Thursday, July 23, for its next attempt to launch the Starship Flight 13 mission, but a tropical disturbance in the Gulf of Mexico might be another obstacle for the test flight.
Starship and the Super Heavy booster both use Raptor engines, fueled by liquid methane, while the Falcon 9 rocket is powered by kerosene-fueled Merlin engines.
It is fun to watch/rewatch this 1990 movie circa 2026. It is about New York City debutantes (CT and the Hamptons too), and how they interact with each other. The movie is set a bit earlier in time, perhaps in the mid-1980s, though some scenes hearken back to the 1970s. Of course there is no social media and no cell phones. So the characters do look at each other, and talk to each other, the whole time. People dress up, and social smoking is “a thing.” There is no hook-up culture, as even casual sex has some sort of social implication. Women are seen as vulnerable, and the men occasionally punch each other. People drink. Throughout various scenes, characters debate Jane Austen, Lionel Trilling, and Buñuel (it was not yet recognized that Mansfield Park is an excellent novel). But do they read actual novels, or just the literary criticism? Women can be branded as “sluts.” Nerds had not yet taken over the world, and there is no Jane Street, though toward the end there is one odd scene where the neon lights rather obviously spell out “ELON” in the upper right side of the screen. Coincidence rather than time travel, I am sure. There are no Asians in the group, it seems no Jews, and if anyone is gay he or she remains in the closet. People of modest income had big apartments, and the so-called wealthy were not very rich at all, though they could afford black tie and white tie attire.
Was everyone happier and better off back then? Did they have deeper understandings of the world? Did they treat each other like heartless beasts? Would you eschew one of their parties and stay at home and scroll Twitter? You can watch this film and ponder those questions to your heart’s content. Alternatively, you could go to a debutante ball, which it turns out still exists. Which of those has been your choice?
The post Whit Stillman’s *Metropolitan* (that was then, this is now) appeared first on Marginal REVOLUTION.

HELSINKI — A six-month-old Chinese startup aiming to use artificial intelligence to compress rocket engine development cycles has raised $29.5 million in angel funding. LegendSpace, full name Linjie Hangtian (Beijing) […]
The post AI rocket engine startup LegendSpace raises $29.5 million angel round appeared first on SpaceNews.

A dramatic shift in perspective is producing a much bigger, broader and more exciting view of ‘the ancient world’
- by Carlos Noreña

A 1979 doc examining the life and ideas of B F Skinner, with a focus on his radical, controversial behaviour experiments
- by Aeon Video
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We estimate the extent of workplace political segregation in the United States by merging data covering over 45 million workers. We present four main findings. First, partisans are segregated by workplace. The average Democrat’s coworkers are 11.7 percentage points (pp; 95% confidence interval (CI) [10.6, 12.8]) more Democratic than the average Republican’s. After controlling for geography, industry and occupation, segregation is 2.9 pp [2.7, 3.1], comparable to analogously estimated gender segregation (2.8 pp [2.6, 3.0]). Second, segregation is largest among the politically active (political donors: 14.8 pp [13.2, 16.4] versus non-donors: 11.6 pp [10.5, 12.7]) and those with more market power (senior executives: 14.7 pp [13.4, 16.1]). Third, Republicans experience higher exposure to Democrats than vice versa: the average Republican’s coworkers are 50% Democratic versus 32% Republican for the average Democrat. Fourth, political segregation has changed little over time (2012: 11.1 pp [10.0, 12.2] versus 2024: 11.0 pp [10.0, 12.0]).
That is from a recent paper by Justin Frake, Reuben Hurst, and Max Kagan. Via the excellent Kevin Lewis.
The post Democrats are more politically segregated than are Republicans appeared first on Marginal REVOLUTION.
Today’s Picture of the Week shows around a year and a half in the life of ESO’s Extremely Large Telescope (ELT) in Chile’s Atacama Desert. The telescope’s construction saw a lot of progress and important milestones during this time. The entire project is more than 75% complete and closer than ever to helping us understand more of the secrets of our Universe.
The ELT’s dome, still partially uncovered and showing its steel skeleton in the beginning of this video, has mostly finished receiving its layer of protective insulated cladding, designed to protect the telescope and its instruments from the harsh desert environment, including very rare but heavy rains. When the massive doors were installed the dome reached its highest point of 80 meters in April of 2025, with a topping-out ceremony that featured the raising of ESO and Chile flags on top of the dome. Later in the year, the dome’s doors were moved for the first time.
Meanwhile, inside the dome, the main structure of the ELT, that will hold its mirrors and instruments, is progressing fast. This structure, currently weighing around 3500 tonnes, was recently rotated around its vertical axis for the first time.
This video doesn’t capture the advances carried out off-site, such as testing the ELT’s deformable mirror, key to correct atmospheric turbulence and obtain sharp images. The construction of MICADO and METIS, the first instruments to be installed at the ELT, is also progressing well. An agreement for MOSAIC, another ELT instrument, was signed in the end of 2025. With the telescope components and instruments coming together, the ELT is well on its way to start observing the cosmos later this decade.
Seattle, Washington—sometimes known as the “Emerald City”—was glimmering in the morning sunlight when an astronaut aboard the International Space Station took this photo on June 16, 2026. The city’s parks and tree-filled neighborhoods lend a lush, green look to the metropolis, while tall buildings downtown cast long shadows and ships navigate surrounding waterways.
The broad contours of the city’s landscape and the water around it owe their shape to the advance and retreat of glaciers during the last ice age. Between roughly 18,000 and 16,000 years ago, the Puget lobe of the Cordilleran ice sheet covered the area in a mass of ice up to 3,300 feet (1,000 meters) thick. The glacier scoured the basins now occupied by Puget Sound and the region’s lakes.
The glacier left its mark above water, too. Several of Seattle’s notorious hills (of which there are seven or more, depending on who’s counting) are drumlins. These elongated mounds of glacial debris run north-south, parallel to the direction of the ice’s movement. East-west travelers in the city, facing challenging ups and downs, may attest to this topographic trend.
The ice also transported large boulders called glacial erratics from more northerly locations and deposited them around the region. A particularly large erratic, the Wedgwood Rock, stands about 20 feet (6 meters) tall and draws its name from the North Seattle neighborhood in which it rests.
In more recent times, humans have undertaken projects to rework the topography. Notable alterations include leveling Denny Hill north of downtown and filling in tideflats at the mouth of the Duwamish River south of downtown, which created around 1,300 acres of new land. Seattle’s professional sports stadiums sit atop this fill.
This photo was acquired after several development projects to update waterfront infrastructure downtown, initiated in 2010, were completed. These include a new ferry dock and terminal, a rebuilt seawall, and a tunnel to replace an above-ground highway and create more inviting public access to the waterfront.
Some replumbing of the region’s waterways is apparent from the astronaut’s perspective, as well. In the 1910s, the Army Corps of Engineers built canals on either side of Lake Union to connect Puget Sound (an inlet of the Pacific Ocean) with Lake Washington. Starting in 1916, the Montlake Cut connected Lake Washington to Lake Union, and the Ballard Locks, northwest of Lake Union, began raising and lowering watercraft between the freshwater lakes and tidal Puget Sound. As a result of this project, Lake Washington’s water level dropped about 9 feet (3 meters) and ceased draining from its natural outlet at its southern end.
Today, the waters in and around Seattle support many uses: container ships, cruise ships, car and passenger ferries, floatplanes, and recreational craft ply the sound and lakes. And as for Seattle’s emerald nickname, pockets of old-growth forest still exist within city limits, containing centuries-old trees such as Douglas fir, Western red cedar, and Western hemlock. Seattleites often spot wildlife such as bald eagles, coyotes, and sea lions in the city’s various habitats.
Astronaut photograph ISS074-E-723719 was acquired on June 16, 2026, with a Nikon Z9 digital camera using a focal length of 560 millimeters. It is provided by the ISS Crew Earth Observations Facility and the Earth Science and Remote Sensing Unit at NASA Johnson Space Center. The image was taken by a member of the Expedition 74 crew. The image has been cropped and enhanced to improve contrast, and lens artifacts have been removed. The International Space Station Program supports the laboratory as part of the ISS National Lab to help astronauts take pictures of Earth that will be of the greatest value to scientists and the public, and to make those images freely available on the Internet. Additional images taken by astronauts and cosmonauts can be viewed at the NASA/JSC Gateway to Astronaut Photography of Earth. Story by Lindsey Doermann.
Stay up-to-date with the latest content from NASA as we explore the universe and discover more about our home planet.

The glacial lake left a layer of silt and clay in southeastern Manitoba, creating fertile farmland that was divided during…

Lake Unter-See in Antarctica, sealed beneath thick ice, has unusual water chemistry and cone-shaped microbial structures resembling some of Earth’s…

Ice splintered off the southern Patagonia glacier and drifted across a growing glacial lake.
The post Shaping the Emerald City appeared first on NASA Science.
Audrey London, Los Angeles, to write a book on water in California.
Seyi Oluwasanmi, London, to bring Brits to SF to learn tech.
Thomas Haferlach, Berlin, payments and compute layer for the long tail of AI apps.
Juan Ramón Egea Fernández, Andalusia, tech.
Teo Spiro, Israel, AI and biology.
Amitav Krishna, suburban Ontario, 14, quantum.
Jake Prokopets, 18, Orlando, AI and labor markets.
Wendi Yan, NYC, science and the visual arts.
Luke Peoples, 15, Sydney, to edit the UI directly.
Malwina Lewera, Poland, orbital space debris.
Wilhelm Hedenskog, 18, Gothenburg, Sweden, AI evaluations.
Alex Petropoulos and Max Reddel, Brussels, Preparing Europe for Transformative AI.
Giovanni De Lillo, 17, Naples, multi-agent AI orchestration for regulated enterprise (Hypereum).
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