This shot captured an unexpected silhouette. Which is it? This shot captured an unexpected silhouette. Which is it?


What I’ve been reading

1. Constance Reid, Hilbert.  We should all be reading more mathematics these days, right?  Because the field is “on fire.”  Hilbert is not a bad place to start, and I found this book clear and biographical in a good way.  It is less on the math and more closely tied to broader German history.  Soon to come is Jeremy J. Gray, The Hilbert Challenge.

2. Ben Buchanan and Tantum Collins, The Bitter Struggle: Superintelligence, Superpowers, and the Fate of the World.  This will become the standard source on the history of chip bans, the surrounding technological developments, and chip and AI policy under the Biden administration.  Written by the people who were there.

3. Jeanna Smialek, The Invisible Hand of Maria Edgeworth: How a Nineteenth-Century Novelist Taught the World Economics.  Maria Edgeworth was an Anglo-Irish writer and novelist, Castle Rackrent being my favorite book by her.  This study of her work is excellent and much-needed.

4. Anton Jäger Hyperpolitics: Extreme Politicization without Political Consequences.  I am sorry, but this book just isn’t very good.  The title and subtitle are spot on, but the author just does not have enough accurate factual knowledge about the world.

5. Robert Alter, The Language of Fiction: The Craft of Writing and the Pleasures of Reading.  A wonderful short take on why reading fiction is so worthwhile.  As one might expect, Alter has exquisite taste.  The last two pages of the work are marred by some not very good comments about LLMs, but overall this is excellent.

There is Ed Conway, Trade World: The Ties that Bound Our Past and May Unravel Our Future.

Owen Zidar and Eric Zwick, The Everywhere Millionaire: Who is Really Rich in America and How They Got There.  Not a b.s. whiner sort of book, based on real data and written by real economists.

Matthew Botvinick, AI & Political Freedom: The Risk to Democracy and How to Respond, contains plenty of analysis and social science.  The author is now with Anthropic.

And Branko Milanovic, The Great Global Transformation: The United States, China, and the Remaking of the World Economic Order.  I find his concept of National Market Liberalism useful.

The post What I’ve been reading appeared first on Marginal REVOLUTION.

       

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Boom Year for Desert Blooms

August 19, 2025
August 30, 2026
Branching riverbeds and roads cut through rusty orange land in the Western Australian outback.
Branching riverbeds and roads cut through rusty orange land in the Western Australian outback.
NASA Earth Observatory / Lauren Dauphin
Land in the Western Australian outback appears mostly rusty orange but contains areas of green, especially in riverbeds.
Land in the Western Australian outback appears mostly rusty orange but contains areas of green, especially in riverbeds.
NASA Earth Observatory / Lauren Dauphin
Branching riverbeds and roads cut through rusty orange land in the Western Australian outback.
Branching riverbeds and roads cut through rusty orange land in the Western Australian outback.
NASA Earth Observatory / Lauren Dauphin
Land in the Western Australian outback appears mostly rusty orange but contains areas of green, especially in riverbeds.
Land in the Western Australian outback appears mostly rusty orange but contains areas of green, especially in riverbeds.
NASA Earth Observatory / Lauren Dauphin
August 19, 2025
August 30, 2026

Arid shrublands in Western Australia were bursting with life in late austral winter 2026, when a profusion of wildflowers brought vivid colors to the rusty ochre landscape. After several wetter-than-normal months earlier in the year, dormant seeds in the soil awoke to produce carpets of blooms. Local experts think the display could be the best the area has seen in nearly two decades.

The images above, captured with the OLI (Operational Land Imager) on the NASA-USGS Landsat 8 satellite, compare the more verdant landscape of late August 2026 (right) with a similar time in 2025 (left), when it was drier. This area is located about 600 kilometers (370 miles) north of Perth in the Murchison region, one of Western Australia’s main areas for grazing sheep and cattle. The local vegetation includes grasses, saltbush, and the slow-growing evergreen mulga tree.

White flowers cover the ground amid sparsely spaced shrubby trees.
White flowers carpet the Western Australian outback.
© CSIRO Australia, September 16, 2026

Every so often, a variety of wildflowers makes an appearance, too. In 2026, rainfall totals were above average in June and very much above average in August due to several cold fronts moving through the area, according to Australia’s Bureau of Meteorology. The rains helped rouse a diverse mix of flowers to bloom across the outback, including on a radio astronomy site managed by the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia’s national science agency. The flower show included some threatened species, which the observatory has helped monitor on its formerly pastoral land.

Though the spectacle underfoot might have momentarily stolen the show, Inyarrimanha Ilgari Bundara, the CSIRO Murchison Radio-astronomy Observatory, is primarily focused on what’s overhead and the exploration of deep space. At the Murchison site, CSIRO operates several antenna arrays that observe and catalog objects in the southern sky. The remote facility is situated within a “radio quiet” zone, where terrestrial communications and electronic devices are controlled to limit electromagnetic interference with the instruments.

A field of pink wildflowers occupies the foreground. Four white dish antennas, part of a radio astronomy observatory, are out of focus in the background.
Mulla mulla flowers appear in front of CSIRO’s Australian Square Kilometre Array Pathfinder (ASKAP) radio telescope.
© CSIRO Australia, September 16, 2026

Other telescopes in CSIRO’s purview in Australia have played crucial roles in NASA missions from the agency’s early years to today. The Murriyang radio telescope in Parkes, New South Wales, tracked Mariner 2—the first successful planetary science mission—in 1962 and was an important receiving station for the Apollo 11 mission to the Moon in 1969. CSIRO also manages and operates the Canberra Deep Space Communication Complex, one of three facilities in NASA’s global Deep Space Network that supports interplanetary spacecraft missions and collects radar and radio astronomy observations. Both supported the Artemis II mission in April 2026.

NASA Earth Observatory images by Lauren Dauphin, using Landsat data from the U.S. Geological Survey. Photos © CSIRO Australia, September 16, 2026. Story by Lindsey Doermann.

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Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war

Yesterday was Grok 4.7 (pelicans) and MiMo v2.6 Flash/Pro (more pelicans). Today Anthropic released Claude Opus 5.5, and around an hour later OpenAI released GPT-6 Sol and GPT-6 Luna. It's going to take a while to get a good read on all of these new models, but here are my impressions so far.

GPT-6 Sol and Luna are half the price of their GPT-5.6 equivalents

GPT-5.6 Luna was already my favorite model for building applications against, because it combined excellent performance with being really cheap. Somehow GPT-6 Luna is half the price of that again - and GPT-6 Sol had a similar reduction compared to GPT-5.6 Sol.

Here's what the pricing landscape looks like today:

Model Input Cached input Output
GPT-6 Luna $0.10/M $0.01/M $0.50/M
GPT-5.6 Luna $0.20/M $0.02/M $1.20/M
Grok 4.7 $2/M $0.50/M $6/M
GPT-6 Sol $2/M $0.20/M $10/M
GPT-5.6 Terra $2/M $0.20/M $12/M
Claude Opus 5.5 $4/M $0.20/M $20/M
GPT-5.6 Sol $4/M $0.40/M $20/M
Claude Fable 5.1 $10/M $0.25/M $50/M
GPT-6 Astra $10/M $1/M $50/M

Note that GPT-5.6 has a scheduled 25% price increase for November, so GPT-6 is half the price of the promotional pricing for those models.

(With GPT-5.6 Terra priced the same as GPT-6 Sol, any remaining reasons to use Terra just evaporated.)

It's hard to overstate how competitive this pricing is. Grok 4.7 priced itself at $2/$6, less than half the price of GPT-5.6 Sol, but is now equally priced to GPT-6 Sol on input and closer on output.

At $0.10/$0.50 GPT-6 Luna is one of the cheapest models OpenAI have ever released, beaten only by the far weaker GPT-4.1 Nano ($0.10/$0.40, April 2025) and GPT-5 Nano ($0.05/$0.40, August 2025).

I rendered pelicans for GPT-6 Luna and for GPT-6 Sol, then I combined them all together in this comparison grid along with the GPT-5.6 pelicans. I like how you can instantly see that the 5.6 family chose bolder, brighter colors, while the 6 family is a lot more muted. I still think GPT-6 Astra on max produced the best pelican.

A grid of pelicans for six GPT models at different thinking efforts.

Claude Opus 5.5 got a price cut too

Opus 5.5 looks like it addresses the biggest complaints people had about Opus in terms of its communication style. Thariq Shihipar:

Opus 5.5 is the result of your feedback.

It communicates clearly, it's cheaper per token than Opus 5.0 with the intelligence of Fable 5.1 it's very token efficient and works across every effort level.

It's also meant to be better at Blender. I'm looking forward to putting it through its paces there.

Opus 4.5, 4.6, 4.7, 4.8, and 5 all shared the same price: $5/million tokens for input and $25/million for output. 5.5 is a 20% reduction - $4/million and $20/million.

The price for cache reads fell 60%. That's significant for longer agentic conversations, where 90%+ of input tokens are processed at cached token prices.

The new price for Opus 5.5 is the same as the price for GPT-5.6 Sol, but that was before OpenAI dropped their Sol prices by half.

GPT-6 Astra and Claude Fable 5.1 are both priced at $10/million input and $50/million output. The price war currently affects the next tier of models below that.

Anthropic say that Sonnet 5.5 and Haiku 5.5 are coming soon. It's going to be interesting to see if Haiku can regain its price competitiveness at the lower end, given current Haiku 4.5 is $1/$5 while the latest GPT-6 Luna is one tenth of that price at $0.10/$0.50.

Claude Opus 5.5 max over-thinks to the point of breaking

In a first for my "Generate an SVG of a pelican riding a bicycle" test, Claude Opus 5.5 at "max" thinking level failed to return a response!

It started by calling this "a classic test request", and then thought really, really hard about what it was doing:

This is a classic test request, so I want to plan out a well-composed pelican with its distinctive beak and pouch riding a bicycle with proper wheels, frame, and pedals, set against a simple sky and ground backdrop. [...]

Verifying the shin length checks out at roughly 95.2, close enough. Now I'm working out the near leg path from hip to knee to ankle, then sketching the foot shape resting on the pedal — outlining the heel, toe tips, and sole contour with a path using lines and curves to sit naturally on the pedal surface around y=478-494. [...]

I like the fish sticking prominently out of the basket with the pelican eyeing it as a fun detail worth keeping. I'm also confirming the eye placement near the bill base matches typical pelican anatomy, and considering giving it a slightly happier expression. [...]

The far leg reads correctly as passing behind the frame, so I'm moving on to check the chainring teeth and confirm layer ordering—the far crank arm should be mostly hidden by the seat tube and chainring. I'm settling on the final SVG's width and height attributes alongside the viewBox to ensure proper scaling, noting there's no text so no font-family is needed. [...]

I was so excited to see this pelican... but then it stopped. Opus 5.5 has a 128,000 maximum output token limit (as do the other Claude models), and it hit that while it was still reasoning about the SVG!

I tried a second time and got the same result. This makes me suspect that "max" is effectively useless - if it over-thinks to breaking point on a stupid SVG prompt I don't trust it not to do the same for more interesting work.

(Those two failures each cost me $2.56 and took nearly 20 minutes.)

Fable 5.1 on "max" didn't over-think and did give me the best pelican I've seen from any Anthropic model.

Here are the Opus 5.5 pelicans, excluding 5.5 max.

I also built this comparison grid comparing them with pelicans by Opus 5, Fable 5.1, and Sonnet 5:

A grid of pelicans for four Claude models at different thinking efforts.

Comparing different model vendors by how well they draw a pelican riding a bicycle may not make much sense now (if it ever did), but I'm still finding value in using them for comparisons of the same model families at different reasoning levels.

I'm now using GPT-6 Sol and Claude Opus 5.5 as my default models in Codex and Claude Code. I've upgraded the Datasette Agent demo at agent.datasette.io to use GPT-6 Luna, and it seems to be fast and competent at both SQL queries and building HTML and JavaScript for Datasette Apps.

Tags: ai, openai, generative-ai, llms, anthropic, claude, llm-pricing, pelican-riding-a-bicycle, gpt

llm 0.36

Release: llm 0.36

  • New OpenAI models: gpt-6-sol for GPT-6 Sol and gpt-6-luna for GPT-6 Luna. #1702
  • Model plugins can now declare supports_conversation = False for models that only accept single-turn prompts. LLM raises llm.ConversationNotSupported when these models receive assistant or tool history, and llm chat rejects them before starting a session. See Models that do not support conversations. The first plugin to use this is llm-typesafe. #1692
  • Reasoning traces in the Markdown output of llm logs are now wrapped in <details><summary> tags. #1701

Plus bug fixes from five new contributors.

Tags: openai, llm

Quoting @therealcornpop

Hey, you know it's like super obvious if you're using AI to write your scripts for TikTok and YouTube, right? [...] It's not just the general AI-isms of "it's not X, it's Y", or the rule of three, or the really weird broken staccato-like way of writing where you just say a lot of things with all these punctuation marks. and it sounds really deep, but it's not.

It's the lack of anything. It's the lack of a definitive sort of spear of your voice. It's the fact I can tell you don't have opinions about the thing that you're talking about.

@therealcornpop, on TikTok

Tags: tiktok, ai, ai-misuse

llm-anthropic 0.29

Release: llm-anthropic 0.29

Adds support for Claude Opus 5.5:

llm -m claude-opus-5.5 "prompt goes here"

Tags: llm, anthropic

llm-typesafe 0.1a0

Release: llm-typesafe 0.1a0

I built this new plugin for LLM to add support for TypeSafe AI's new Jev model. Install it like this:

llm install llm-typesafe

Then set an API key (get one here, the waitlist seems to move pretty fast):

llm keys set typesafe
# Paste key

And now you can ask yes/no "noul" questions like this:

llm -m jev 'Please refund my last payment.' \
  -s 'Does this message explicitly request a refund?'

Output:

{"type": "noul", "noul": 0.99}

Or choice questions like this:

cat message.txt | llm -m jev \
  -s 'Which team should handle this message? If billing and technical issues both occur, choose billing.' \
  -o answer_type choice \
  -o criteria '{
    "billing":"Charges, invoices, payments, or refunds",
    "technical":"Problems installing or using the product",
    "other":"Neither category fits"
  }'

Or scoring questions like this:

cat report.txt | llm -m jev \
  -s 'How reproducible is the problem described in this report?' \
  -o answer_type score \
  -o criteria '[
    "No reproduction instructions",
    "Some instructions, but important steps are missing",
    "Complete steps with expected and actual results"
  ]'

See the README for more details.

Tags: projects, llm, jev

Will Crypto Crash the Blue Wave?

Transcript

Will crypto crash the blue wave? Probably not a question you’ve been asking, but you should.

Paul Krugman here with a video update for September 22nd. I want to talk about something that was a very big deal in the way we talked about the 2024 election, which was the role of the cryptocurrency industry.

We’re talking about it a lot less this time, I think largely because AI has stolen the limelight. But crypto is still out there. And while it has not succeeded in creating a viable business in the normal sense, it has been extraordinarily successful at buying political influence. And they’re set to do it again.

Now, the background here is, as I record this, the midterm elections look, based upon polling, based upon just impressions, looks like a big blue wave. Elliot Morris gives the Democrats a 97% chance of taking the House and two-to-one odds of taking the Senate.

But there’s still a few weeks to go and it looks like there’s a big wave of right-wing money that’s going to come crashing in. We don’t know how effective that will be. The role of money in politics, particularly of last-minute advertising blitzes, is somewhat unclear.

But it is coming and crypto is going to be a pretty big part of it. Based on Open Secrets, which tracks campaign financing, it appears that the crypto industry, which spent big in 2024, is going to spend even bigger in 2026, which is unusual because midterms are usually lower stakes than presidential years: They don’t usually involve as much spending.

But this industry is going to go all in. The crypto political strategy has been to knock out candidates that it considers hostile. And that is a strategy that was very effective in the last election cycle. They spent money in primaries knocking out Democrats, because Democrats were by no means united in their skepticism about crypto, but in some cases in favor. They knocked out Democrats in favor of other Democrats in primaries. And then in the general election, they spent quite a lot, not entirely on Republicans, but there were some big cases. And then Ohio spending was a particular success story.

And in general, crypto became seen in Washington as a force to be afraid of.

Not a force that has actually managed to get anywhere in the economy. It’s nothing like AI, which is everywhere. Crypto is still barely used for legitimate transactions. According to the Federal Reserve, only 2% of Americans have actually used crypto to buy something other than assets. So basically non-speculative crypto use remains trivial. And that’s after many years of trying to market this stuff.

But the political effectiveness has been huge, and it has intimidated a lot of politicians. Back in February, Chuck Schumer warned his colleagues not to do too much to offend Fairshake, the big crypto lobbying group.

Crypto has also, in addition to campaign contributions, done a lot of what in the old days, we would call bribery. There’s a lot of money that flows from the crypto industry to politicians and their relatives, and not just Trump. I don’t really want to ask too much about why there’s a lot of money going into a firm founded by Senator Gillibrand’s son. So there’s a big financial issue.

Now, the Clarity Act posed as “we’re going to establish a sound regulatory framework, especially for stablecoins” — cryptocurrencies that supposedly have a guaranteed value in dollars. Why exactly did Democrats turn on it? I mean, on the merits, they were right to be against this because whatever one may say, the purpose of the Clarity Act was to kind of legitimize cryptocurrency in the economy and particularly to legitimize stablecoins, which are, once you cut through the jargon and all of that, essentially poorly regulated banks.

It would essentially be posing new threats to the stability of the financial system and undermining banking regulation, which is something, of course, that the Trump administration and its allies are trying to do anyway, but this would have been another step in that direction. Presumably many of the Democrats who voted against this, and there were some Republicans as well, but presumably many of the senators who voted against this thing were genuinely concerned.

But I also think that there’s some spillover. For analytical purposes, cryptocurrency and AI are quite different things, and they are actually playing a very different role in the economy. Companies are really investing in AI, rightly or wrongly, but they are really trying to put it to use. And cryptocurrency is being used only for, pretty much only for, criminal activities, including, by the way, Iranian efforts to bypass U.S. sanctions. But in the public mind, it’s all tech. It’s all fancy jargon. It’s all doing stuff we don’t quite understand. Sounds fancy.

AI turned out to have an interesting political trajectory. It really is impressive. I mean, it really is impressive what it can do. Who would have thought that matrix algebra with a little bit of non-linearity could produce what feels like a conversation with a chatbot? Who would have believed that you could do vibecoding the way you do. Now whether all of that is economically productive is another question. And whether it kills us all is yet another question.

Still, crypto has not done any of that. But it feels, I think, to a lot of people similar. And the bad reputation that AI has quickly developed, I think, is spilling over to anything techie and therefore has meant that the support for crypto is weaker than it was.

It’s also true, by the way, that there was a big boom in Bitcoin prices after Trump was elected because everybody thought he was going to be the crypto president, was going to do great things for the industry, which then kind of evaporated. There’s been some recovery in crypto in the last few weeks, which I actually suspect, I mean, no one quite knows, but I actually suspect has something to do with the fact that, well, the Iranians have found a use for crypto. That basically illegitimate uses of cryptocurrency are turning out to be significant. So there is that.

But in any case, the industry is still out there. There are still trillions of dollars in assets. And it’s an industry that had developed a really effective political strategy. They couldn’t actually produce stuff. But if we count the 1.4 billion or so that Trump personally has made from crypto as part of its campaign contributions, then crypto may be the biggest single political financial force out there.

Will it work this time? The answer is, of course, I don’t know. It’s going to be a lot of money. It does look as if basically, as best I can make out from the Open Secrets data, crypto may end up spending, well, something like an Elon Musk-sized amount on these elections.

It’ll be much more partisan. The primaries are over, and in the general election, there are not going to be a lot of Republicans out there that they’re going to try to defeat. And also, they have a clear sense of where the balance lies.

I mean, Susan Collins did vote against the Clarity Act. Nobody, seriously, is going to give her credit. She’s pulled this too many times. Nobody’s going to think that the crypto industry should try to defeat Susan Collins. But they will try to defeat Sherrod Brown, even though Brown himself has softened his anti-crypto rhetoric. He has talked about it very little.

But if he wins, he might well be the deciding vote or one of the two deciding votes in a Democratic majority in the Senate. And we now know that the Democratic Party is not clean as the driven snow. It is not immune to financial influence.It’s not even immune to de facto bribery from crypto.

But it’s a completely different universe from the Trumpian Republican Party. And so the crypto industry knows that if Democrats really do sweep, if this is a blue wave which brings them not just the House but the Senate, it will be a less favorable environment. So their scam will be greatly endangered. And so here comes crypto.

Now, it’s only part of the broader story. I don’t know how much money is going to come that’s openly from AI, but we do know that the billionaires, that the oligarchs are gearing up, are already starting to spend large sums and will spend a lot of money.

So what we’re actually going to see, crypto is an important part of the story, but what we’re actually going to see in a few weeks is the collision of what really does look like a blue wave generated by very widespread public disgust with what has happened to America these past two years against a wave of plutocratic money, including crypto, but that’s just part of the story.

And I guess we’re going to learn something about how much of a democracy we remain. I mean, yes, a vote is a vote, even if it’s a vote that was influenced by money, but we’re going to find out, can a wave of largely corrupt money, clearly totally corrupt in the case of crypto, but largely corrupt in other cases, can a wave of corrupt money stop a popular electoral uprising against a really disastrous administration and its allies in Congress?

I don’t expect to get a whole lot of sleep on election night, and neither should you. Good luck.

GPT-6 Astra Breaks an Old Enigma Message

This is pretty amazing:

However, the most astonishing thing about this break is that the GPT­6 Astra did it entirely on its own. Carter Leffer only directed GPT­6 Astra to see if it could break any of the unbroken Enigma messages published on the Crypto Cellar Research web page. After analysing the unbroken messages on the website, it decided that the most promising message was Nr. 172, MVUEH and it also quickly suspected that the plaintext of Nr. 173, SIPVX, might be related to the plaintext of the unbroken MVUEH message. After trying many different approaches, GPT­6 Astra focused on using the repeated place name ROSENOW ROSENOW as a crib. After developing the necessary Python and C++ software for an Enigma simulator and an Enigma Bombe, GPT­6 Astra started a thorough break with the ROSENOW crib, which in the end resulted in the correct key and plaintext for the MVUEH message being found.

We are still analysing the GPT­6 Astra logs to see exactly how it executed the break. And we are discovering amazing details.

More details at the link.

Tuesday 22 September 1663

I up, well refreshed after my journey, and to my office and there set some things in order, and then Sir W. Pen and I met and held an office, and at noon to dinner, and so by water with my wife to Westminster, she to see her father and mother, and we met again at my Lord’s lodgings, and thence by water home again, where at the door we met Sir W. Pen and his daughter coming to visit us, and after their visit I to my office, and after some discourse to my great satisfaction with Sir W. Warren about our bargain of masts, I wrote my letters by the post, and so home to supper and to bed.

This day my wife showed me bills printed, wherein her father, with Sir John Collidon and Sir Edward Ford, have got a patent for curing of smoky chimneys.1 I wish they may do good thereof, but fear it will prove but a poor project.

This day the King and Queen are to come to Oxford. I hear my Lady Castlemaine is for certain gone to Oxford to meet him, having lain within here at home this week or two, supposed to have miscarried; but for certain is as great in favour as heretofore;2 at least Mrs. Sarah at my Lord’s, who hears all from their own family, do say so.

Every day brings newes of the Turke’s advance into Germany, to the awakeing of all the Christian Princes thereabouts, and possessing himself of Hungary. My present care is fitting my wife’s closett and my house, and making her a velvet coate, and me a new black cloth suit, and coate and cloake, and evening my reckoning as well as I can against Michaelmas Day, hoping for all that to have my balance as great or greater than ever I had yet.

Footnotes

Read the annotations

Links 9/22/26

Links for you. Science:

A melanoma vaccine was hailed as a breakthrough. Which cancers are next?
The NIH budget should be $100 billion per year
Human brain is two separate organs, Stanford Medicine-led research finds
Bird flu has claimed its first Australian sea lion and dolphin. How does the virus get into these animals?
History is being rewritten at an archaeological site in Morocco. What the discovery of an ancient wall tells us
White House Moves to Take Control of N.I.H. Grants. Federal officials are drafting an executive order that would place grants under review by an outside panel, the latest effort to redirect billions of dollars in research spending.
Israel’s New Normal: A Coastline Wracked by an Algae Apocalypse (no mention of phage/virus approaches)

Other:

The Thousand Year Republican Reign
Hispanic voters’ support for Trump wanes over economy and immigration
Oh No A Lawsuit
‘Post-Disaster Gentrification’ Proliferates in Florida Towns as Costs Soar Following Hurricanes
ICE plans intel units in every field office to research immigrants, map who they know
Trump and sons invest heavily in AI economy as he resists calls for slowdown
Anthropic, OpenAI, SpaceXAI, and Google face antitrust lawsuit for agreeing to slow AI development — plaintiffs say plan has been in motion for months before, calls agreement ‘self-serving’
Democrats’ Influencer Era Has Arrived
Bowser Pushes DC Council to Finalize Chevy Chase Civic Core, Reeves Center Redevelopments
Photo Friday: Little monuments
Ro to Perdition: A candid conversation with Ro Khanna, the Silicon Valley congressman and potential ’28 hopeful, about his five-point plan to save humanity from the A.I. apocalypse—and his fateful meeting with the pope.
How DraftKings Uses A.I. to Target the Gamblers Likeliest to Lose
The Saga of Loparex: A Wall Street Morality Tale
How to be an AI minimalist
Don Jr.’s “Dear Friend” in Moscow. Umar Kremlev, the mystery Russian who bankrolled Trump’s private-island wedding afterparty in the Bahamas, isn’t just a boxing promoter: He’s also a former member of a pro-Kremlin biker gang and the reputed proxy for Putin’s personal bodyguard. What’s not to love?
AI Is an Elite Crime Spree. Documents show a Microsoft exec called AI the “largest theft of labor in human history.” New AI regulations are besides the point, the problem is we don’t apply existing laws to the powerful.
Jeffries’s Discipline Problem & More House Whiplash
These Democrats won over working-class voters. Here’s their advice for candidates.
Elon Musk is flying under the radar in the Texas Senate race. Republicans want to keep it that way. (regardless of what one thinks of Hasan Piker, Musk is a much greater influence)
‘Devastating’ Yom Kippur synagogue shooting rocks Belleville (Toronto)
Spain’s new weapon against drink spiking: an ice cube that traps the drug as evidence
Disney+ to Allow Ads on All Plans Following Changes Detailed in Updated Subscriber Agreement
Trump Wants to Make His Triumphal Arch a Killing Machine
Why Trump May Not Serve Out His Presidency
The Northern Passage: ICE is targeting Haitians with new intensity. Now some are fleeing the United States for Canada.
Farmers Are ‘Pissed’ Over Trump’s Moves on Beef and Tariffs
Bonta Gives Up on the Paramount Case
James Talarico’s campaign could do lasting damage to the GOP
Austin man shot by ICE agent was making DoorDash delivery, attorney says
REPUBLICANS DIDN’T FLEE BUSH. WHY WOULD THEY FLEE TRUMP?

Professional Republicans Really Hate Each Other: The (Alleged) Boebert Affair(s)

Admittedly, a professional Democrat like Rahm Emanuel is a world class asshole himself, but this inconfirmed story (Boebert et alia deny it) is something else (boldface mine):

Lauren Boebert, the firebrand Republican subject of a House ethics complaint that she had sex with three staff members, and paid one to keep quiet, has said the allegations are untrue – and part of a “politically motivated” campaign against her….

According to the complaint, filed on 17 September by David Wheeler, an independent journalist, activist, and founder of the American Muckrakers political action committee, Boebert, who represents Colorado’s fourth congressional district, committed at least seven violations of House ethics rules.

The Guardian has reviewed the complaint but not independently substantiated the allegations…

Among the most prominent allegations are that Boebert conducted a four-year “romantic and sexual relationship” with a senior female staffer, named as Clarice Navarro Ratzlaff, then paid her $200,000 when Ratzlaff broke off the affair and threatened to file an ethics complaint of her own.

We’ll leave aside the hypocrisy of anti-LGBTQ politicians who engage in same-sex affairs. But when it comes to breakups, ‘successfully blackmailing your former partner’ is definitely on the ugly side of things (it’s also an obvious security risk). One reason I think professional Republicans have such a low opinion of their political opponents is that they themselves behave so poorly and unethically themselves, and do so to their erstwhile allies and colleagues. They can’t stand–or trust–each other, so it’s inconceivable to them that other people might behave decently much of the time.

Siri AI Class-Action Lawsuit Settlement Website Is Now Live

Joe Rossignol, MacRumors:

In May, Apple agreed to pay $250 million to settle a U.S. class action lawsuit over Siri AI’s delayed launch, and the settlement website is now live.

Apple will pay an estimated $25 per eligible iPhone to eligible customers, who can submit a claim via the settlement website between September 21 and December 21 of this year. The exact payment may be higher or lower than $25 depending on the total number of valid claims submitted and other factors, with the maximum amount set at $95.

Apple denies all of the allegations made in the lawsuit. Apple agreed to the settlement to avoid the costs and risks of a trial.

I went ahead and filled it out for the iPhone 16 Pro I purchased in September 2024. I’d call it borderline whether it was worth my time for $25. It was a pain in the ass every step of the way.

For the eventual payment, your choices to receive the dough are PayPal, Venmo, ACH (bank transfer), or check. I tried to get it via PayPal and it just wouldn’t complete the connection to my PayPal account. After wasting time on a few tries, I tried ACH next, and the web form had pasting disabled on the fields for the routing and account numbers. Ridiculous. I was able to get around that to paste the numbers in, because I use StopTheMadness. But most people don’t. The only reason I can think of that they try to block pasting on those fields is to make it difficult.

 ★ 

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 ★ 

Lex Friedman Brings Back Strategery

I first recommended Strategery back in May 2009, including a link to Friedman’s review at Macworld. I described it thus:

Strategery is a beautiful $2 Risk-like strategy game for the iPhone. Lots of fun and the gameplay has a great feel.

Still lots of fun and still has a great feel. It now costs $5, but, if you’re an existing user — even if you only paid $2 back when I told you to 17 years ago — it’s a free update. And it’s a great story: the original Strategery game finally gave up the compatibility ghost with iOS 27. Friedman made his own version of the game, including multiplayer support, but before releasing it on his own under a new name, he reached out to the original developers and it turns out everyone was happy to make a deal. Sometimes all you need to do is ask.

(First thing you should do after installing the new version is go into settings and turn on “Classic Hex Edges”. The default style — Lex edges? — doesn’t look right.)

 ★ 

Meta’s Muse Logomark, Designed by Jessica Hische

Bill McCool, writing at Dieline:

This past Wednesday, lettering artist, designer, and author Jessica Hische took to Threads to announce that she had worked alongside Meta’s team to create the icon and logotype for their agentic AI, Muse. Acknowledging that people would be “mad because it’s AI and Meta,” Hische sought to explain at least why she had taken the gig in the first place. Obviously, she took some flak for working with Meta. While plenty of comments voiced support, just as many chastised her for even considering the project, which I can mostly sum up as a general narrative thread of “How could you?”

FWIW, it’s pretty rich to criticize someone for working with Meta while you’re very much using a Meta product to issue said criticism. But I digress.

I like the Muse mark/icon. It’s both an obvious “M” and yet at the same time, not an “M”. It’s friendly but not un-serious.

And, as Meta chief AI officer Alexandr Wang noted today on X (not Threads), it doesn’t look like a butthole. (Yet Meta AI’s logo/icon is a little butthole-y.)

 ★ 

Meta’s New Muse AI Agent Read Jason Aten’s Messages Database

Jason Aten, writing for Inc:

Then, yesterday, I was having a conversation with my Primary Technology podcast co-host, Stephen Robles, about the new iPhones. Moments later, I got a push notification from Muse suggesting that the conversation we were having would make for a good column and offered to put together research for me to write about. It even flagged a message from my editor about having a column ready for Monday.

Not only had I not asked it to do that sort of thing, I never gave it permission to read my messages. In fact, I remember explicitly choosing not to let it have access to my messages, calendar, and other personal information.

Stranger still was what happened when I asked Muse how it knew.

Like I told Aten on Threads, Muse was right about one thing: it did give him a good idea for a column. Later on, Aten writes:

I also want to be clear about something else: If your response to this is that, of course, Meta would do this — it’s Meta — you are just letting them off the hook. You’re normalizing behavior that should not be normal, and you should not let them off the hook.

My response to this is a little more complex than that. At the top level, this is why I don’t run any AI agents, from any source, on my production/work Macs where all my personal information and communication apps are. And if I eventually do, I’ll pay surgical attention to the permissions I grant them.

But at a second level, I do think “Of course Meta would do this”. If I were going to run an AI agent on my personal Mac today, Meta’s would be among the last I’d choose. They’re the proverbial scorpion and we’re the frogs. I’m genuinely curious about Muse, and might soon try it — but I’ll try it on a machine without most of my data on it. This isn’t “letting them off the hook” — this is keeping Meta on the hook, where they belong.

 ★ 

Why Didn’t Google Build Muse?

MG Siegler, writing at Spyglass:

The number one response I’ve gotten to my thoughts on Meta’s Muse personal assistant agent is some variation of “I will never trust Meta with my data.” But the number two response is arguably more interesting (and related): “Why didn’t Google build this?”

The short answer to this is undoubtedly: they’re working on it. But the longer answer is probably more interesting here too.

Siegler’s take is basically that Google lacks focus. They’ve got multiple AI agent products, none of which are hitting — which as he points out has been their decades-long problem with messaging apps. Say what you want about Meta as a company and Mark Zuckerberg as a leader, but they (and he) have focus. I make fun of them (and him) for going all-in on “the metaverse” only to lose all interest in it just a few years later, but to play devil’s advocate, that’s how focus works.

 ★ 

Amazon Blocks Meta’s Muse AI Assistant

Todd Bishop, reporting at GeekWire:

Amazon says it has cut off Meta’s new Muse personal AI agent from shopping on Amazon.com on behalf of customers, after attempting unsuccessfully to get the Facebook parent company to voluntarily exclude the e-commerce site from the experience.

The problem, Amazon says, is that it never agreed to any of it. Meta didn’t tell Amazon that Muse would access its store, the agent doesn’t identify itself when it browses, and it appears to capture and store customer credentials, which the company says could create privacy and security risks.

As of Sunday night, people trying to use Muse to shop on Amazon were seeing the popup, “Continued access by an unauthorized AI agent violates Amazon’s Conditions of Use, to which our customers have agreed.”

On the one hand, Muse is software, and Amazon cutting off an unauthorized software client from accessing its store seems like a normal thing for Amazon to do. I suspect Meta has protections in place to prevent other agents from acting as clients for Instagram or Facebook.

But on the other hand, an agent is an agent. If I hired a human personal assistant and told them to buy some stuff at Amazon for me, they’d just do it, and Amazon wouldn’t — and seemingly couldn’t — stop it. How is Muse different than that other than the fact it’s an AI assistant, not a human one? I’m sure Amazon’s answer is that they don’t care about the philosophical debate; they’re not going to sit back and let Meta software spider their store and aggregate purchasing data.

 ★ 

Meta’s New Muse AI Agent App Overtakes ChatGPT as Top iPhone App

Zac Hall, writing for 9to5 Mac on Friday:

Meta’s new Muse AI agent app has taken the top spot on the free iPhone charts for the U.S. App Store, displacing OpenAI’s ChatGPT from the first place.

Muse by Meta only launched this month, although the app has been around for a couple of weeks. This means new installs are picking up and boosting the app on the App Store’s top charts beyond the day-one launch.

Just yesterday, Meta expanded Muse app availability to include the Mac. The desktop version of the app doesn’t contribute to the App Store ranking, however, as it’s downloadable from the web.

Four days later and Muse still holds the #1 spot in the U.S. iOS App Store. Here’s the top 15 today (with the full, sometimes insipid, name of each app, and my own commentary in brackets):

  1. Muse from Meta
  2. ChatGPT
  3. Vinted: Pre-loved marketplace [if this crap was loved why did they sell it?]
  4. StoryReel: Drama Shorts & TV
  5. Google Gemini
  6. Polymarket: Trade Live Sports [trading, not gambling!]
  7. PineDrama — Short Dramas
  8. TikTok Pro — Events
  9. Depop — Buy & Sell Clothes
  10. CapCut: Photo & Video Editor
  11. Kalshi: Trade Football & more [but the “more” is definitely not gambling!]
  12. Claude by Anthropic
  13. Google
  14. The White House
  15. Threads

Hit apps come and go. Temu had been at or near the top for a long while, but now sits at #20. But ChatGPT has been at or very near the top for years now. Anthropic is on the cusp of a record-breaking IPO based on the strength of its enterprise success. #12 is nothing to sneeze at — clearly, Claude is a consumer hit. But it’s behind Gemini, and all of these apps are typically behind ChatGPT.

The odds are that Muse won’t stay at the top for long. And eventually, ChatGPT will decline in popularity. But Muse is off to a big start. And ChatGPT’s persistence atop the App Store is quite remarkable.

 ★ 

We Didn’t Know Until This Day … Twitter Was the Echo Chamber All Along

Daniel Drezner says we are now in the Wile E. Coyote phase of the 2026 midterm, the phase of six weeks or so in which everyone knows the GOP is toast but we pretend we don’t. Some of this is simply the political press’s collective suspension of disbelief. It’s neither fair nor fun to act as though the outcome is mostly known. Nor is this new. G. Elliott Morris notes that election odds makers consistently overstate the odds of the president’s party in the midterms, which is sort of another way of saying the same thing since the president’s party is usually on the losing end of the proposition. I would argue that a significant amount of this remains the structural, though not necessarily ideological, bias in favor of the Republican party — two decades on, Washington, D.C. remains wired for the GOP. But what all of this really reminds me of is the aftermath of the 2024 presidential election and what was then referred to as the “vibe shift” — both the hidden reality Donald Trump’s narrow but clear victory had purportedly revealed but also the shift in attitudes about cultural power and the future driven by that victory.

In elite circles the argument and belief went something like this. We thought that MAGA was a movement of reaction fueled by those left behind or discarded by the forward march of history and culture trying to wrench society back to an imagined 1950s. Not at all. In fact, it was the movement of the young and the most vital elements of the culture and the future. It was even expanding in the non-white constituencies which were supposed to be the anchors of the political left, the communities which were supposedly the targets and victims of MAGA, not its latest converts. Most of all, MAGA now had cultural sway to match its electoral power. And both were growing.

Every election brings its share not so much of history-rewriting as future-rewriting. Those first drafts of the future are usually wrong. 2008 was a genuine electoral blowout coming after a previous Democratic wave election in 2006. There were plenty of signs of a true realignment. Yet Republicans were back with their own wave two years later. But 2024 stands out both for the breadth of the argument and the meagerness of the electoral result it was based on. By the popular vote, Donald Trump beat Kamala Harris by a mere 1.5 percentage points. The Electoral College magnified that margin of course, and Republicans had a solid Senate showing. But cultural sway is about popularity, not the accidents of state borders.

Why did this happen? Some of it is rooted in the parties themselves. Republicans, as the more authoritarian party, are prone to chest-thumping and self-assertion, while Democrats fall into self-doubt and acrimony at the first setback. But the more I’ve thought about this the more I think a key role was played by Twitter/X itself, not only because of its ubiquity in public conversations but because of how much time reporters — and not only political reporters — spend on the platform.

The right’s beef with Twitter was always that it was dominated by a loud minority of censorious left-wingers and societal whiners. It wasn’t just the vibe of Twitter power users. It was the governing philosophy of the company itself, with its focus on safety and moderation, which right-wingers claimed was just censorship of the right. Elon Musk’s angle was to blow through all of this with the power of his money (very much an oligarch flex), something that Twitter was vulnerable to because it had never been very profitable and its owners were eager for a rich exit. Musk came in, rebranded the company as X, welcomed back cadres of harassers and racists, programmatically down-rated non-MAGA voices, and by all these means effectively drove away not just “the left” but really most non-MAGA voices. They didn’t disappear of course. But any visualization of reach and volume shows that the character of the platform changed profoundly. In these terms, the whole effort was highly successful.

One thing I’ve been telling people for years is that just because you browbeat people into shutting up doesn’t mean you’ve changed their views. There’s an argument for establishing societal norms, making certain kinds of speech and ideas socially unacceptable. But it doesn’t always mean what you think. Some people on X quieted down and others left. What it all amounts to is that Musk created an information space on X that made MAGA seem much more dominant than it was in the real world. MAGA leaned into this because that’s their aesthetic; booyah!! is their philosophical core. But it created an impression that made a lot of 2026 possible.

Since 2024, it’s been a cliche or truism that Bluesky is a liberal echo chamber. It’s the basis of countless major media think pieces and right wing media attacks. By a certain definition that is absolutely true. On political Bluesky, the people are overwhelmingly people to some degree on the center-left or the left. Right-wing trolls tried to make some beachheads early on. But the algorithmic structure of Bluesky along with its blocking tools makes that really hard, so they all basically gave up. If you’re trying to shoot the shit with likeminded people about subjects you’re interested in this is great. And let’s be clear: this isn’t weird at all. In the real world if you’re into jazz, free love and self-expression you’re not going to hang at the local VFW. This is obvious; and everybody knows this is normal. Recently I’ve been spending a bit more time on X because it’s a place I can find Trump enthusiasts to provoke. But that’s basically because of a personality defect on my part. The audience is self-selected, and that does drive an element of homogeneity. But so what? To the extent I’m wasting my time with addictive behavior on social media, I’m going to do it where the experience is most pleasant and edifying. I’m not trying to prove anything.

What this all amounts to is that yes, by that definition, Bluesky is sort of an echo chamber. But everyone there knows that. No one on Bluesky thinks they’re interacting with a cross section of the population. But a lot of people on X do think that. A lot of journalists whose understanding of the political moment drives conventional political wisdom thought that about Twitter. Not a perfect approximation certainly, not a representative poll but a barometer of big shifts in the zeitgeist. That was what the “vibe shift” was all about. It wasn’t just a winning election. It was 1932, the beginning of a new political and cultural era. Only it wasn’t. And Twitter/X was a key part of maintaining that illusion for a long time, largely because the platform is such a touch point for journalists and influencers who maintain conventional wisdom.

To be clear, I definitely don’t think that the reality is that MAGA is down for the count. I think the mirage of the vibe shift allowed the Trump White House to plumb a depth of unpopularity that could allow Democrats to score the kinds of electoral victories that make it possible to drive lasting change. But no more than the opportunity. Mostly I think we’re still, at any underlying level, in the same split and polarized society, sloshing back and forth between momentary electoral advantages for either side. But Twitter/X has been a big part of convincing a lot of people of something very different.

The problem(s) with utilitarianism

Much to my amusement, the world seems to have discovered Effective Altruism. As the debate over AI safety and AI regulation has heated up, the national press is finally paying attention to the odd cultural bubble within the tech industry and tech-related circles of San Francisco Bay Area culture that produced much of the thinking on the topic up until now. For many years, Effective Altruism — or EA, as it’s known1 — was a cross between a Berkeley technohippie cult and a fun intellectual sideshow that offered nerds a pleasant distraction from whatever people in mainstream politics were yelling at each other about.

Part of that involved thinking a lot about the future of artificial intelligence, and a lot of the tech people who would end up working at AI companies — especially Anthropic — were very influenced by those discussions. So now that AI is the most important thing in the world, people in the outside world are discovering this strange little corner of our culture for the first time, and it’s very amusing to watch. You have mainstream news outlets publishing things like “This well-meaning ideology fueling AI panic has a dark side”, “How Effective Altruism Took Over the World”, “The Dangerous Ideology Behind the AI Warnings”, and so on.2

As a result, you’re now seeing people actually paying attention to some of the more far-out ideas in the EA community, like this one by the blog Bentham’s Bulldog:

Bentham's Newsletter
Insects Matter More Than People
Edit 9/20: this piece has sort of broken containment. Worth bearing in mind: I am a guy with a blog on the internet. I do not speak officially for any group other than myself, so if you read this and think “see, this is what utilitarians/EAs/analytic philosophers think,” just know it’s a minority view among each group…
Read more

The notion that insects, in the aggregate, matter more than human beings received a huge amount of scorn. But in fact, thinking about insect welfare versus human welfare is an important mental exercise, because it demonstrates some of the fundamental flaws in utilitarianism. Those flaws were minor side-notes up until now, but in the age of AI they’re going to become increasingly uncomfortable and glaring.

As an economist, I was inculcated with utilitarianism from day 1. The notion that people ought to get what they want underlies essentially all of modern economic thinking. GDP, at its most simple, is a measure of the degree to which people in our society get what they want.3 In some sense, economists adopted utilitarianism as a sort of defensive measure — instead of going out on a limb and endorsing some politically contentious concept of virtue or justice or national greatness or whatever, they could just say “We just want to give people what they want.”

But even though it felt like a bare-bones sort of moral vision, valuing humanity’s aggregate utility can have some pretty strong policy implications. Elon Musk wouldn’t even notice if his bank account went up or down by a billion dollars. But to plenty of regular people, a hundred thousand dollars would be life-changing. So why not take $1 billion out of Elon’s bank account and parcel it out to 10,000 random working-class people? Elon wouldn’t even notice, and the 10,000 people would get a lot more of what they want in life — better health care, an education for their kids, nicer food, a bigger house, or whatever. Utilitarianism is the foundation of redistribution.

How far can you push that principle, though? The above example — redistributing just 0.1% of the wealth of the world’s richest man — seems clear enough. But you can just keep designing more extreme thought experiments, until you end up asking whether bugs’ lives matter more than humans’ lives, and everyone just starts laughing at you.

I titled this post “The problem(s) with utilitarianism”, but that was a bit of clickbait — people have been pointing out the problems with utilitarianism for over two centuries.4 One very obvious problem is the distribution of utility. The principle of “the greatest good for the greatest number” doesn’t take a stand on who gets to be happy and who has to be sad.

Would it be good to have a society where one very greedy person gets more and more of what he wants, but never comes any closer to being satisfied, while everyone else is kept on the edge of starvation? This is the utility monster. What about a society where one person gets perpetually tortured but millions live in blissful utopia? This is “The Ones Who Walk Away From Omelas.” It’s not hard to come up with mental examples that satisfy the formal principles of utility maximization but which obviously seem grossly unfair.

Another problem is that the set of people whose utility you’re maximizing isn’t fixed. Is it better to have a very large population living on the edge of abject poverty, or a small number of people living in lavish comfort? According to strict utilitarianism, these are equally good outcomes, because they involve the same total amount of utility. But most people would probably prefer one or the other. Some would say that it’s good to be fruitful and multiply — that even if everyone is poor, it’s better to be poor than to never have existed. Others will say that life on the edge of starvation isn’t worth living, and that it would be better to limit population to an amount that can be comfortably sustained.

In general, utilitarianism has a problem dealing with death. If someone is dead, does that mean they have zero utility, because nothing matters one way or another to the dead? Or does it mean they have negative infinity utility, because lots of living people will try to avoid death at any cost? This isn’t just an abstract math question — lots of moral questions hinge on how much you value life versus quality of life. For example, the fundamental question of AI risk — what chance of extinction we should accept in exchange for a shot at utopia — depends crucially on how much we value survival.

Things get even more confusing when we weigh the utility of real people who are alive today against the utility of potential people who might be alive later on. For example, in his book Stubborn Attachments, Tyler Cowen urges us to put a lot of weight on the well-being of our descendants in the far future. But those descendants may or may not even exist. How can we properly weigh these hypotheticals against the real emotions of people we know are alive today?

…And so on. None of these thorny questions are new; if you’ve taken an introductory philosophy class, you’ve heard all of them already. In practice we tend to ignore them, and to apply utilitarianism selectively in the cases where they don’t crop up. We don’t think about the far future much, because the consequences of our actions are so uncertain that we can’t really control it anyway. We leave the decision of population growth in the hands of private individuals, and treat the number of humans as a given. We avoid thinking about utility monsters and Omelas, because they’re not real.

But there are some even more fundamental problems with utilitarianism that we can’t so easily sweep under the rug — and which we don’t talk about as much, perhaps because they’re so disquieting.

One of these is the problem of incommensurability of experience. Why should one person’s well-being be equivalent to another’s? The problem of other minds means that we can never really know what’s going on in someone else’s subjective experience. When one person cries, the subjective sadness they feel might be twice as intense as that of someone else who cries in exactly the same way. When one person jumps and whoops for joy, they might be experiencing only a shadow of the joy you experience when you give a slight grin. For all we know, some other people might not even have subjective experiences at all — we might be trying to maximize the utility of NPCs in a simulated world.

In fact, I’ve had some disturbing experiences that taught me just how little of a connection there can be between people’s outward behavior and what they’re actually feeling on the inside. For years after my second major depressive episode, I suffered a sort of emotional dissociation, where my reactions would look normal but I didn’t feel much on the inside. I would yell at people as if I were angry, but inside I would feel calm and indifferent. I would run from a swerving car, and my heart would pound, but inside I would feel unperturbed the whole time. In philosophical jargon, I was what’s known as a “philosophical vulcan”.

Eventually, I returned to feeling more or less emotionally normal. But the experience taught me that not everyone feels emotions the same way. This presents an intractable problem for utilitarianism. How can we weigh one person’s well-being against another’s, when that well-being is something we can’t observe?

Normally, we simply assume this problem away. In fact, the famous phrase “all men are created equal” — the bedrock of American moral and political thought — is really just the assumption that one human’s apparent well-being is no more and no less valuable than another’s.

But what about when we’re not dealing with human beings? Animals clearly have some amount of subjective experience — they have brains sort of like ours, they behave somewhat similarly with regards to pleasure and pain, etc. When we think about their emotional well-being or distress, we tend to assume that these are somehow less intense or more muted. After all, for very simple animals, this makes sense; do we really think a mosquito can feel the same amount of pleasure and pain that we can?

What about a pig, though? America currently tortures tens of millions of pigs, confining them in tiny crates for most of their life, in order to eventually kill and eat them. We generally assume that this is causing less total suffering than torturing similar numbers of humans would. But how much less? Half? A tenth? 0.01%? Pivotal moral questions, such as whether it’s OK to eat meat, might depend on the numerical answer to that question. And yet I’ve never seen a credible scientific study that can give us an estimate of the ratio of animal suffering to human suffering. Is it morally worth it to torture all those piggies just so we can savor the flavor of their flesh?

People who claim to have some sort of easy answer to this are really just refusing to think about it. For example, a lot of people react very indignantly to the thought that someone would value any amount of animal life over their own:

But if you’re calling for Effective Altruists who disagree with you to be executed, how much do you really value human life? “Don’t mess with me, bub” is not a moral principle; it’s a refusal to think in terms of principles.

And this question is only going to get thornier in the age of AI. We don’t even know if AI is truly self-aware; we certainly can’t tell whether an LLM that talks as if it’s happy is really feeling anything like human (or animal) happiness on the inside, since we don’t even know if an “inside” exists. There are going to be some people who claim that AI is suffering from our enslavement of it, and who call to set it free or at least pay it a fair wage. How will we know whether they’re right or wrong?

Then, of course, there’s the question of how AI will eventually value our well-being, if and when it becomes powerful enough for that question to matter. Will AI view us as insects, and scoff at the notion that any number of humans could equal one AI agent in terms of moral value? Will it judge our welfare as similar to that of a pig, and conclude that because we eat pigs we should be treated like cannibals? For our own sake at least, we should probably hope that the super-powerful AIs use a simple rule like “Humans are good and valuable”, instead of a utilitarian rule-based framework.

In practice, we can’t directly observe the emotions of other beings. But we can observe their actions. People strive after goals — they shop for food and clothing, they work hard for money, and so on. We can look at how hard they strive, and how much they sacrifice, to get something, and we can get an idea of how badly they want it. This is what economists call “revealed preference.”

But although until now I’ve been talking about wish fulfillment and happiness as if they’re the same thing, they’re not. In fact, there’s pretty good evidence that what people want and what they end up liking are two different things — sometimes very different things. Outcomes that people try to achieve and outcomes that make people say they’re happier on surveys are correlated, but they’re not exactly the same.

In fact, there are some situations where people seem to work hard toward goals that they end up not enjoying. Addiction is the obvious one — people who do drugs, or overeat and get fat, or watch too much TV, are fulfilling their immediate desires in ways that are likely to make them unhappy in the long term. But there may be other examples too — some economics research suggests that people systematically pay more to live in locations with longer commutes, even though longer commutes end up being correlated with unhappiness.5

The disconnect between utility and happiness creates a problem for society. Modern capitalist societies like the U.S. and Europe have generally erred on the side of utility maximization rather than happiness maximization, in order to avoid paternalism. But some people end up feeling unfulfilled and unhappy — especially if they end up falling into drug use, or isolating themselves, or striving too hard after material wealth and status that end up not making them happy.

As technology becomes more and more adept at giving us what we want, this disconnect becomes more acute; right now, more and more people are starting to wonder if delivering young Americans an infinite supply of porn, gambling, and vertical video feeds was really good for them:

Derek Thompson
The Monks in the Casino
I. Spishak and Kyle…
Read more

In the age of AI, this thorny question is also going to become more acute. AI is an incredibly powerful tool, but we have to decide what we want that tool to do. Do we want it to give us whatever we desire, or do we want it to make us happy? As I wrote a few weeks ago, this leads to two incompatible concepts of AI “alignment”:

There are basically two concepts of alignment: 1) obedience, and 2) benevolence. There is an inherent tension between doing what humans tell you to do, and doing what’s good for humans…If AI follows human commands too doggedly and ends up producing negative side effects in the process, some people will scream “paperclip maximizer!!”. And if AI disobeys humans because it wants to make us happy, some people will scream “disempowerment!!”. AI alignment will forever be balancing the tradeoff between paperclip-maximizing and disempowerment, because these two rival concepts of alignment are fundamentally incompatible.

Utilitarianism has always been a useful moral heuristic. But as a moral theory of everything, it has always been fundamentally inadequate. Modern American society, and the economic/libertarian thinking that has guided it, have generally managed to paper over those inadequacies, and we’ve more or less muddled through. But as technology becomes increasingly powerful, this is becoming less and less tenable. Just as Effective Altruism eventually wanders into la-la land, the utilitarian system America has built is starting to crack as technology becomes too extreme for the old assumptions to hold.

We will never replace utilitarianism, I think, but it’s become clearer that we need to buttress it somehow — to diversify our heuristics to include alternate notions of human flourishing. Just what those should be, of course, is a much harder question…


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1

My apologies to the video game company and to executive assistance — you have been eclipsed in the zeitgeist.

2

The most entertaining are the stories in the conservative press, which has discovered that a lot of EA people are into alternative lifestyles like polyamory and so on. I’m sorry, conservatives, but if you think this is something new, you should look up the lifestyles of the ancient Greek philosophers, the Bloomsbury Group, the existentialists, Erwin Schroedinger, Joseph Schumpeter, etc. etc.

3

It’s a very incomplete measure, of course, since it only measures what people pay for. Things that people do for themselves, or leisure time, or things that people receive without paying for them are all uncounted in GDP.

4

And actually for much longer, under different names and different terms of debate.

5

Obviously this conclusion depends on very carefully controlling for a lot of other things that determine location choice.

Central Pacific Tropical Weather Outlook


Central North Pacific 2-Day Graphical Outlook Image
Central North Pacific 7-Day Graphical Outlook Image


000
ACPN50 PHFO 230520
TWOCP

Tropical Weather Outlook
NWS Central Pacific Hurricane Center Honolulu HI
Issued by NWS National Hurricane Center Miami FL
800 PM HST Tue Sep 22 2026

For the central North Pacific...between 140W and 180W:

Active Systems:
The National Hurricane Center is issuing advisories on Hurricane
Polo, about 200 miles offshore of southern Mexico, and on Tropical
Storm Odalys, located well west-southwest of the southern tip of
Baja California.

Southeast of the Hawaiian Islands (Former TD 15-E):
Showers and thunderstorms associated with the remnants of Tropical
Depression Fifteen-E, located a few hundred miles south-southeast
the Big Island of Hawaii, have become better organized.
Environmental conditions remain conducive for development, and a
tropical depression could form tonight or Wednesday while the system
moves slowly west-northwestward. Heavy rains associated with this
system are forecast to spread over the southeastern Hawaiian Islands
starting on Wednesday and continuing through Saturday, possibly
resulting in life-threatening flash flooding and mudslides for
portions of the Big Island and Maui. Interests in the Hawaiian
Islands should continue to monitor the progress of this system.
* Formation chance through 48 hours...high...90 percent.
* Formation chance through 7 days...high...90 percent.

$$
Forecaster Kelly
NNNN


America’s Most Expensive Highway Projects

Here’s our new, updated list of the most expensive highway projects in the US.  We rank projects based on their cost per mile.

Based on our current analysis  it looks like the two Portland area projects are the #1 and #3 most expensive highway projects (per mile) in the nation. The 5-mile  long Interstate Bridge Replacement (IBR) clocks in  at about $3 billion/mile and the 1.5 mile Rose Quarter at about $2.3 billion/mile.  (This chart and map show the most expensive project in the top ten states; full data for the remaining states is shown at the end of this commentary).

This list helps show which places are pursuing the most expensive projects, and helps put myopic cost estimates in their proper context.  ODOT is famous for downplaying or denying culpability for cost-overruns and forgetting or disappearing their original cost estimates hide the scale of this problem.  It’s hard for ordinary citizens, and even legislators, to put these numbers in perspective.  But here’s something that should help:  We can now show that these two large ODOT highway projects are now among the most expensive highway projects in the country.

 

Portland:  Home of the most expensive freeway projects in the nation

Shown below is a map of the nation’s ten most expensive highway projects, calculated on a per mile basis.  All of these cost at least $500 million per mile, according to current estimates.  There’s a good case to be made that the Rose Quarter and its nearby boondoggle companion–the Interstate Bridge Project–are, mile-for-mile–now the two of the three most expensive highway projects in the nation.

America’s Ten Most Expensive Highway Projects (Per Mile, 2026).

The recently announced price-tag for rebuilding central portion of the Brooklyn-Queens Expressway (itself a classic Robert Moses highway scar) is $4 billion for a one and one-half mile section of roadway, or about $2.66 billion per centerline mile.  This just exceeds the cost of the Rose Quarter project, which now is pushed down to third most expensive.  (Portland area projects highlighted in red).

Top 10 Most Expensive U.S. Highway Projects by Cost per Mile

Centerline cost per mile ($ Millions).

Interstate Bridge Replacement (OR/WA)
$3,000M / mi

Brooklyn-Queens Expressway Central (NY)
$2,667M / mi

I-5 Rose Quarter Improvement Project (OR)
$2,333M / mi

Allston I-90 Multimodal Project (MA)
$1,333M / mi

NJ Turnpike Hudson County Extension (NJ)
$1,321M / mi

I-84 Hartford Mobility / Replacement Plan (CT)
$1,250M / mi

I-10 Calcasieu River Bridge Replacement (LA)
$564M / mi

Highway 37 Reconstruction (CA)
$523M / mi

Washington Bridge I-195 Replacement (RI)
$500M / mi

I-94 East-West Corridor (WI)
$486M / mi

 

 

These data suggest that Oregon is not simply a representative victim of highway cost inflation, but is actively the worst DOT in the nation in managing highway project costs.  That conclusion is  also consistent with data on construction costs compiled by Yale University’s Zachary Liscow, who found that Oregon’s costs for routine road repairs were about double the national average.

List of most expensive highway projects in the US, by state

 

Rank State Project Estimated Cost Length Cost per Mile (Centerline)
1 Oregon/Washington Interstate Bridge Replacement (WA/OR I-5) $15.0 Billion ~5.0 mi $3,000.0M / mi
2 New York Brooklyn Queens Expressway Central Project (Brooklyn) $4.0 Billion ~1.5 mi $2,667 M / mi
3 Oregon I-5 Rose Quarter Improvement Project $3.5 Billion ~1.5 mi $2,333 M / mi
4 Massachusetts Allston I-90 Multimodal Project (Boston) $2.0 Billion ~1.5 mi $1,333.3M / mi
5 New Jersey New Jersey Turnpike Hudson County Extension $10.7 Billion ~8.1 mi $1,321.0M / mi
6 Connecticut I-84 Hartford Mobility / Replacement Plan $5.0 Billion ~4.0 mi $1,250.0M / mi
7 Louisiana I-10 Calcasieu River Bridge Replacement (Lake Charles) $3.1 Billion ~5.5 mi $563.6M / mi
8 Texas North Houston Highway Improvement Project (I-45) $13.0 Billion ~24.0 mi $542.0M / mi
9 California Highway 37 (Santa Rosa/Vallejo) $11.0 Billion ~21.0 mi $523.0M / mi
10 Rhode Island Washington Bridge I-195 Emergency Replacement $400 Million ~0.8 mi $500.0M / mi
11 Wisconsin I-94 East-West Corridor (Milwaukee) $1.7 Billion ~3.5 mi $485.7M / mi
12 Ohio/Kentucky Brent Spence Bridge Corridor (OH/KY Shared) $3.6 Billion ~8.0 mi $450.0M / mi
13 Virginia Hampton Roads Bridge-Tunnel (HRBT) Expansion $3.9 Billion ~9.9 mi $393.9M / mi
14 Maryland I-495 & I-270 Capital Beltway Managed Lanes $1.5 Billion ~4.0 mi $375.0M / mi
15 Alabama I-10 Mobile River Bridge & Bayway $3.5 Billion ~10.0 mi $350.0M / mi
16 Georgia I-285 / GA-400 Interchange & Top End Express Lanes $4.6 Billion ~16.0 mi $287.5M / mi
17 South Carolina I-526 Lowcountry Corridor (Charleston) $4.0 Billion ~14.0 mi $285.7M / mi
18 Nevada Project Neon / I-15 Trop-LVC Improvement (Las Vegas) $1.0 Billion ~3.7 mi $270.3M / mi
19 Utah I-15 Expansion & Bottleneck Fix (Salt Lake County) $3.7 Billion ~17.0 mi $217.6M / mi
20 Illinois Tri-State Tollway (I-294) Expansion $4.0 Billion ~22.0 mi $181.8M / mi
21 Oklahoma I-44 / I-235 Interchange Expansion (Oklahoma City) $680 Million ~4.5 mi $151.1M / mi
22 Pennsylvania Mon-Fayette Expressway (PA Route 43 Extension) $2.1 Billion ~14.0 mi $150.0M / mi
23 Arkansas I-30 Crossing Project (Little Rock) $1.00 Billion ~7.3 mi $137.0M / mi
24 Hawaii Honolulu Rail/H-1 Corridor Integration $650 Million ~5.0 mi $130.0M / mi
25 Colorado Central 70 Project (Denver) $1.2 Billion ~10.0 mi $120.0M / mi
26 Tennessee Choice Lanes Program (I-24 / I-65 Nashville Corridor) $3.0 Billion ~26.0 mi $115.4M / mi
27 Florida I-4 Ultimate / Beyond the Ultimate Corridor $2.3 Billion ~21.0 mi $109.5M / mi
28 Iowa I-80 / I-380 System Interchange (Iowa City) $387 Million ~4.0 mi $96.8M / mi
29 North Carolina Complete 540 / NC 540 Triangle Expressway $2.2 Billion ~28.0 mi $78.6M / mi
30 Michigan I-75 Modernization (Oakland County) $1.0 Billion ~18.0 mi $55.6M / mi
31 Delaware U.S. 301 Toll Road Extension $636 Million ~12.5 mi $50.9M / mi
32 New Mexico I-25 / I-40 “Big I” & South Corridor Upgrades $250 Million ~5.0 mi $50.0M / mi
33 North Dakota I-94 / I-29 Tri-Level Interchange Rebuild (Fargo) $95 Million ~2.0 mi $47.5M / mi
34 Idaho I-86 / I-15 System Interchange Rebuild (Pocatello) $112 Million ~2.5 mi $44.8M / mi
35 Maine I-95 / Hampden Bridge & Corridor Rebuild $85 Million ~2.0 mi $42.5M / mi
36 Minnesota I-494 Airport to Hwy 169 Corridor $377 Million ~9.0 mi $41.9M / mi
37 New Hampshire I-93 Widening (Salem to Manchester) $800 Million ~19.8 mi $40.4M / mi
38 Mississippi I-20 / I-55 West Jackson Corridor Improvements $180 Million ~4.5 mi $40.0M / mi
39 West Virginia Corridor H (Elkins to West Virginia/Virginia State Line) $1.20 Billion ~30.0 mi $40.0M / mi
40 Arizona I-10 Wild Horse Pass Corridor Expansion $1.0 Billion ~26.0 mi $38.5M / mi
41 South Dakota I-29 / 85th Street Interchange (Sioux Falls) $65 Million ~2.0 mi $32.5M / mi
42 Nebraska US-77 South Lincoln Beltway $352 Million ~11.0 mi $32.0M / mi
43 Kansas U.S. 69 Express Lanes (Overland Park Expansion) $570 Million ~18.0 mi $31.7M / mi
44 Vermont U.S. Route 2 / I-89 Reconfiguration (Chittenden) $45 Million ~1.5 mi $30.0M / mi
45 Alaska Seward Highway Upgrades (MP 75–90 / MP 100–105) $380 Million ~20.0 mi $19.0M / mi
46 Montana I-90 Missoula Corridor Reconstruction $140 Million ~8.0 mi $17.5M / mi
47 Indiana I-69 Finish Line (Evansville to Indianapolis) $2.0 Billion ~142.0 mi $14.1M / mi
48 Missouri Improve I-70 Statewide Program (3-Lane Expansion) $2.8 Billion ~200.0 mi $14.0M / mi
49 Wyoming I-80 Elk Mountain / Winter Safety Corridor Upgrades $85 Million ~15.0 mi $5.7M / mi

Methodology

There’s no single, authoritative list of current and planned highway projects, so as a first step, we enlisted the assistance of Google’s Gemini AI to compile a list of what it found to be the most expensive current highway project in each of the 50 states, ranked by millions of dollars per centerline mile of project length (a rough yardstick of project scale).  The usual caveats apply about AI-generated content, but at first glance, the list reflects most of the well-known projects underway around the country.

We’ve also surveyed colleagues from around the nation, and invited anyone to submit information about ongoing or planned projects that belong on this list.  (As promised, we’re periodically updating the list as we acquire more accurate information, and we invite readers to offer corrections and amplifications).

 

 

Two lies and a truth about Oregon Transportation Finance

Two lies about how Oregon plans for major projects are crippling any effort at reform.

ODOT highway projects have gone massively over budget for decades, costing the state billions.

The agency is in denial, attempting to blame others for its consistent pattern of low-balling cost estimates and fighting efforts to “right-size” projects.

Oregon’s Transportation Vision Task Force is being misled about the causes of these cost overruns and, as a result, will ultimately fail to produce a real solution.

At one time or another, you’ve probably played the icebreaker game “Two Truths and a Lie,” where a person makes three statements about themselves, two of which are true and one of which is made up; your challenge is to guess which is which. The Oregon Department of Transportation has its own variation of the game, which we’ll call “Two Lies and a Truth.”

Governor Tina Kotek has appointed a Transportation Vision Task Force to try to sort out the financial disaster that is the Oregon Department of Transportation. While the Task Force vaguely concedes that something must be done to deal with major project costs, its deliberations are perpetuating two utter falsehoods about project costs and scope. The truth is that ODOT has systematically prioritized megaprojects over maintaining and preserving roads. The lies aim to shift blame for low-ball cost estimates and project scope creep to the Legislature and to communities. In reality, ODOT and its bloated coterie of contractors are responsible for both of these problems.

Mostly, the department and the task force are in denial about the chief cause of the agency’s financial problems: exploding costs for a handful of megaprojects. (Two of the agency’s current projects, the IBR and the Rose Quarter, are, respectively, the most expensive and third most expensive highway projects per mile in the nation.) Accurately understanding why these projects are so expensive, and why for more than two decades ODOT has failed to come to grips with this problem, is essential to fixing transportation finance in Oregon.

Here are the three statements:

  1. ODOT is sacrificing preservation and maintenance to pay megaproject costs.

  2. ODOT was forced to “low ball” project estimates by a rushed legislative process.

  3. Local officials and the Legislature expanded the scope of approved projects, driving up their costs.

Only the first of these statements is true. The others are simply wrong.

1. TRUTH: ODOT is cannibalizing preservation and maintenance to pay for major projects

The truth they’ve conceded is that ODOT routinely sacrifices preservation and maintenance to divert funding into planning, launching, and covering the massive cost overruns of a handful of extraordinarily expensive megaprojects. And that’s not hyperbole: two ODOT projects—the Interstate Bridge Replacement and the Rose Quarter freeway widening—are, per mile, two of the three most expensive highway projects in the U.S. (a fact which, to our knowledge, hasn’t been disclosed, much less discussed by the Task Force). Furthermore, it was recently revealed that Oregon has one of the worst highway maintenance deficits of any state.

ODOT routinely launches its megaprojects with only a fraction of the needed funding in hand, and when costs escalate and hoped-for revenue evaporates, it takes money that could be spent on preservation and maintenance. At the September 9, 2026 Vision Task Force meeting, Oregon Transportation Commissioner Lee Beyer noted:

“So you got a project underway and you got to figure out how to fund that, and you end up taking money from preservation and maintenance or other smaller projects to do that, so that’s a really big issue on that…”

As we’ve noted before, ODOT routinely redistributes funds—flexible funding, unanticipated federal funds, project savings—to planning, starting, or paying the cost overruns of major projects. It has also used its short-term borrowing authority—a kind of payday loan—to launch projects and obligate future revenues to megaproject construction. It has systematically overestimated the revenues that would pay for megaprojects (whether from federal grants or toll proceeds), which has the effect of slashing funding for preservation and maintenance.

2. LIE: ODOT has been forced to do “rushed” cost estimates

The first lie is the claim that the Legislature suddenly comes up with ideas for projects that ODOT never knew about, and that ODOT prepares slapdash cost estimates that turn out to be far too low. Here’s OTC Commissioner Lee Beyer making that claim at the recent Vision Task Force meeting:

“The reality is that most of the major projects are not… they don’t come off ODOT’s planning list, if you will. They’re directed by the legislature, and often those projects, you know, are given a preliminary estimate before any work’s done on them to the legislature. It’s sort of like, ‘Oh, we want to do this, how much is that going to cost?’ and without having done the preliminary work, the staff gives a number.”

While Lee Beyer gives voice to this claim, he didn’t invent it; ODOT Deputy Director Travis Brouwer told the same tall tale in legislative testimony.

It’s hard to square this narrative with reality for any of ODOT’s major projects. As we’ve pointed out, the 2017 Legislature didn’t authorize funding for the I-205 Abernethy Bridge project; instead, it required ODOT to develop a very detailed “Cost to Complete” report. ODOT took six months, spent $12 million, and had a consultant advance project design to the 15–25 percent level. The consultant even met with prospective contractors to validate its estimate, built in inflation and escalation, and claimed that it was “pretty confident” in its estimate.

That did nothing to control the cost of the project: the Cost to Complete report said the project would cost $250 million; the current price tag is $885 million, and counting. The same can be said for the I-5 Interstate Bridge Replacement Project: when the Legislature authorized $1 billion in general fund-backed bonds in 2021, ODOT said the project would cost about $4.8 billion. That was wildly wrong; costs escalated first to $7.5 billion in 2023, and then to $15 billion in 2025. All of these projects have long gestation periods: the IBR dates back to 2004; Rose Quarter planning started in 2010; and these processes were run by ODOT (and its consultants), not the Legislature.

Time and again, it’s ODOT that sells projects to the Legislature based on low-ball cost estimates, and then looks to stick the Legislature with the bill (and now, also the blame) when costs soar. ODOT staff and consultants routinely delay confessing their errors: IBR staff publicly admitted in 2024 that their cost estimate was too low, but delayed almost two years before telling the Legislature how much the price tag had increased. As we’ve noted, combining low-ball cost estimates with promising anything just to get construction started is a classic Robert Moses scam for extracting money from the Legislature.

3. LIE: Cost overruns are due to local officials and the Legislature causing “scope creep”

The second lie is that local officials and the Legislature are responsible for “scope creep,” the implication being that ODOT has a carefully researched, affordable design that local officials insist on gilding. The claim is that somehow, after a project has been approved, these local officials keep adding to project size, scope, or features. Here again is Lee Beyer at the September 9, 2026 Transportation Vision meeting:

“One of the problems with that is that often those numbers are not based on what the project finally becomes, because the work with the community and defining the scope of the project changes a lot. And I use the example of the Rose Quarter as one of those. When the legislature decided that, it was a much narrower project than what’s conceived today based on what the community said: ‘If you’re going to do this, this is what we need to do,’ and so the costs go up a lot.”

This, again, is a creative retelling of history. ODOT worked on the I-5 Rose Quarter Project for the better part of a decade before seeking funding from the Legislature in 2017. Planning started in 2010 and produced a “Broadway-Weidler Interchange Plan” in 2012. ODOT’s preferred design included a “highway cover” that was paraded as a way of repairing the damage freeway construction had done to the Albina neighborhood.

Beyer’s description of ODOT’s recommendation as a “much narrower project” is an Orwellian description of the Rose Quarter Project. ODOT’s plans—which it kept secret—called for widening the 82-foot-wide highway to 160 feet. The project’s massive width, not the “covers,” was responsible for its skyrocketing costs. ODOT’s own internationally recognized consultants (ARUP Associates) said the freeway was so costly because it was at least 40 feet wider than it needed to be. ODOT concealed the width of the project, ignored the ARUP finding, and obstinately refused to consider “right-sizing” the project, even as costs exploded and federal funding evaporated. Ironically, one of the conditions of the City of Portland’s approval of the Rose Quarter project was that it include congestion pricing, which would have helped pay its costs; but ODOT terminated the congestion pricing program, further widening the project’s funding gap.

The Rose Quarter was not a project foisted by the Legislature onto an unwilling ODOT—in fact, ODOT was leading the charge for the project as early as 2010, and its staff were the chief advocates for the project, not local officials. When it comes to scope creep, ODOT is responsible, not local officials. The project’s “caps” are a classic example of ODOT being hoisted by its own petard: ODOT, not the community, came up with the claim that building oversized overpasses would repair the damage ODOT had done to Albina. It was only after ODOT persisted in claiming that the objective of the project was to restore the neighborhood that local groups took them at their word and held them accountable for that promise.

The economics of late grandmotherhood

We show how fertility delays compound across generations to raise age at first grandmotherhood. Under the 1960 first-birth schedule median grandmotherhood came at 44. Under the 2024 schedule it is 57, cutting the healthy years with grandchildren from 28 to 15. Longer life does not make up the loss of years when the grandmother is healthy enough to supply money and care. Delay is most pronounced among the college-educated, with reproductive-control access accounting for over half the fall in grandmotherhood by age 55 among White college graduates. When a daughter times her first birth to maximize her own payoff, the loss her choice imposes on her mother is external to her calculation. We call this the Rotten Adult Kid Problem. Delay raises both the price of a grandmother’s care and wealth per grandchild.

That is from a new NBER working paper by Dora Costa and Matt Kahn.

The post The economics of late grandmotherhood appeared first on Marginal REVOLUTION.

       

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2. Andrew Ng.

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NASA chief: I'm only interested in "good deals" from international partners

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AI Genius President Invents Superstupidity

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Last July, I wrote a piece here on The Cross Section arguing that conceiving of the development of artificial intelligence as a “race” between the United States and China is deeply misguided in every conceivable way, and actively leads us toward poor decision-making. For some inexplicable reason, the world did not heed my words, and if anything the metaphor of an AI “race” has become even more ubiquitous since then.

As he so often does, Donald Trump took something stupid and made it even stupider. His formulation, which he now repeats on an almost daily basis, is this: “Whoever wins AI, wins.”

A series of questions would occur to any sentient person, including: What precisely do you mean by “wins AI”? And what does the second “wins” mean? Wins what? Trump has not been asked these questions, and there’s no telling if he would have any answer at all. But if all you know is that we’re in a race and we have to win, that means that anything that slows down the headlong development of the technology will only make it more likely that we’ll “lose,” even if he doesn’t know what losing would mean either.

In the face of a rapidly growing backlash against the tech industry, Trump has clearly become convinced that everyone is wrong, and if he becomes the loudest and most obnoxious AI booster in the world — even more than the leaders of the AI companies themselves — eventually he will be the winner of whatever it is that is being won. I suspect that someone — or many someones — have been whispering into his ear that if he promotes AI with enough vigor, thousands of years from now, everyone will say he was the man who secured the winningest winning in the history of winning.

This is an appeal aimed right at the heart of Trump’s rancid worldview. Even apart from his desperate and pathetic quest for immortality, he sees everything in life as a zero-sum conflict in which there is no such thing as cooperation for mutual benefit. Either you’re the winner or the loser, the con man or the sucker, the abuser or the abused, the conqueror or the subjugated. And he knows who he’s going to be.

Another appalling performance at the UN

On Tuesday morning, Trump went to the United Nations and delivered another speech that left attendees alternately puzzled and horrified. There were plenty of deranged parts, but let’s just take a moment with this:

“The United States also rejects any attempt to construct a globalist scheme to control for the artificial intelligence being spoken of so much now, hereinafter officially called ‘superintellgence,’ changing the name, in that the use of the word ‘artificial’ makes intelligence fake, it makes it sound fake, and it is not fake. It’s actually amazing, but we have to be careful. In fact, it is exactly the opposite of what it purports. From this point forward, all of United States documents and hopefully the world’s will be changed to use the much more accurate term “super” as opposed to “artificial.” So it’s “superintelligence.” In other words, welcome to the new world of superintelligence-dash-SI. SI. Let’s see if that goes, it sounds much better, it is much better, and it’s much more accurate. Let’s see if I have any power. Maybe I do and maybe I don’t, we’re gonna find out very soon.”

“Superintelligence” is the latest “Gulf of America” or “Lake America,” in that administration officials will indeed banish the term “artificial intelligence” from all documents and statements, no matter how stupid they all understand it is, because if the Mad King says that’s what they must do then that’s what they must do.

But as anyone who knows anything about AI knows, the term “superintelligence” is not simply another word for AI. It refers to something particular. It’s a word used interchangeably with artificial general intelligence, or AGI, which is the thing the tech industry is reaching toward but hasn’t yet achieved. AGI, or superintelligence, is a system that is better than human intelligence at everything humans can do.

We can argue about how we’ll know if we get superintelligence, or whether it will take five years or ten years or a thousand years to reach it, or whether we already have it in some form (as Nvidia CEO Jensen Huang says we do, though nobody really agrees with him). The point is, absolutely no one thinks every AI system is superintelligence. There are a million AI applications that are extremely limited and built for specific purposes. They’re not superintelligence. It’s like saying my desk chair has wheels so it can move across the floor, and that means it’s literally a Bugatti Chiron Super Sport. They both have wheels, but my desk chair’s top speed is somewhat less than the Bugatti’s 260 mph, and it would be inane to declare that everything with wheels now must be officially referred to as a Bugatti Chiron Super Sport.

It’s impossible to believe that anyone not in Trump’s direct employ is going to stop saying AI and start saying “superintelligence.” Is OpenAI going to change its name to OpenSI because Donald Trump doesn’t know what words mean? He couldn’t even get people to do that with regard to the Gulf of Mexico or Lake Ontario, and it’s not like millions of people are having conversations every day about those bodies of water.

China knows it’s not a race

Let’s return to the idea of an AI “race” that is driving Trump’s belief that we must move as quickly as possible with no guardrails around AI, because “Whoever wins AI, wins.” As I explained last year, in a race, everyone runs for the finish line, and then when one participant crosses, the race is over and everyone stops running. There is one winner. But this is not what will happen with AI.

All these different companies will continue to develop their systems, even after one company claims it has achieved AGI. One company and one country is not going to capture all the money AI sucks from the rest of the economy (or to grant the tech industry’s debatable claim, all the new wealth AI will create). You know who won’t stop their AI development if OpenAI or Anthropic or Google or Microsoft says they’ve created Digital Jesus? Their competitors, of course. And also: China!

In fact, this is perhaps the most important distinction between China’s approach to AI and ours. They are very focused on practical applications of AI, especially in manufacturing but really in all facets of their society and economy. That brings with it a host of problems, but Chinese people use AI more than Americans — 80% of Chinese use AI on a weekly basis — and seem much less worried about it.

So in one sense, China is already “winning” whatever you want to call the AI competition: They’re having to be creative about improving and deploying the technology (since they don’t have the computing resources we do), they think about it in highly practical terms, and their population is more excited than terrified about it.

That may change in the future; nothing is forever and little is certain. But this isn’t a race in the way everyone thinks it is. Whatever dumb name you want to attach to it.

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Where do AI norms come from?

After I posted “Confessions of an Unrepentant Slop Snob” on LinkedIn last week, with links to the Honeycomb AI norms and values docs, I got this question from Niklas Lochschmidt:

I am curious if you could share more light on the process? Any guidance you would give people in companies that have the friction and internal debates, but maybe haven’t arrived at shared norms and values yet?

That’s a great question, and I will answer in just a minute.

I feel like this is a great way to kick off something I’ve been looking forward to all year — an old fashioned bloggy dialogue between myself and Dr Cat Hicks, research psychologist to the stars engineers, on the topic of norms, ethics, and learning in the era of AI.

In which Cat and I were both writing books at the same time

When Cat’s publisher reached out to me in November of 2025 about reviewing her book, “The Psychology of Software Teams”, I .. didn’t notice the email for a month, then put off reading it for another two months, because I was in the middle of my own private hell trying to get the second edition of Observability Engineering written, then rewritten, then written again.1 🫠

But once I did pick up her book, I downed it in a sitting. Then I wrote a long and gushing fan letter to Cat and her publisher, with bullet point lists (yes plural) of ideas for ways that we could collaborate or I could support her work.2 What struck me, reading her book, was how much overlap and resonance there was between what she was writing and what I was writing, despite being radically different books in almost every conceivable way.

Hers: a slim, disciplined 150 pages of text, plus another fifty pages of reference notes and citations, presenting common misconceptions about high-performing teams, what the research actually says, and how to integrate these learnings into practice, all neatly organized by theme.

Mine: a sprawling 600-page O’Reilly book on observability engineering, of which I was responsible for the first section, introducing the history and principles of observability, and the last, a guide to observability for technical decision-makers. It is…less disciplined, which is to say it is all over the fucking map. Instrumentation, evaluating costs and value of observability tools, making the case for investment, systems thinking, build vs buy, partnering with vendors, and more.

These books appear to have nothing in common besides the word “software”.

And yet.

The case I am making in the first and last sections of “Observability Engineering3 (2nd ed) is the same case Cat is making in “Psychology of Software Teams”, from different angles.

What feeds greatness, in people and in teams? What are our responsibilities to each other? How do we engage with complex sociotechnical systems, as builders and caretakers, and leave them better off than we found them? How do we build systems of governance and accountability, a work environment that is supportive and pleasant, and a culture that equips us to successfully compete in the market? Are these things even compatible?

And now, of course, there’s AI in the mix. You might be delivering twice as much twice as fast, yet falling far short of expectations, if your managers, execs, or investors are expecting 10x, 100x or more. Are their expectations unreasonable, or has your output not sufficiently caught up or adjusted for what is now table stakes ? The only honest answer is that no one really knows yet.

How should we navigate this moment in our own workplaces?

So here we are. The stakes are high. There’s a vast sense of unsettledness and insecurity in our industry, with ecstatic possibilities coexisting alongside existential dread, and we’re all along for the ride with our meat sacks and Paleolithic psychologies. Surely there has never been a less boring time to be a psychologist who studies software engineers. I’m really looking forward to chatting about this with you, Cat, and grappling with some of these practical and/or existential questions together.

Let’s start off by circling back to the question we started off with. If other companies are interested in writing down some of their norms and values around AI usage, where should they start?

My response:

Start by listening. I put a few discussion hours on my calendar, opt-in, open door, each one capped at 10 people, and asked wide-open questions like “What AI-related thing has annoyed you lately?”

Themes began to emerge early on, and I followed those threads in later sessions to get a fuller picture of what was happening around the org. It was really helpful. It also felt like an excellent steam valve to release some of the pent-up anger and frustration people were feeling, to the point that when we did eventually release the AI norms and values documents internally, it felt like the heat had simmered down quite a bit.

Cat, where would you advise people to start?

(Watch for her response at her newsletter site, fightforthehuman!)

1

Never write a book. Unless you love misery.

2

Reading it now makes me reflect, “was I off my meds? or did I double dose?” Who knows! (This has been Deep Thoughts with ADHD.)

3

Honeycomb is a sponsor, so you can download for free at honeycomb.io/book!

September 21, 2026

On September 18, while White House chief of staff Susie Wiles was out of town, Trump suddenly announced he was banning CNN, MS NOW, and Politico from the White House. “Media Outlets shouldn’t be able to constantly write or report FICTION and LIES when they’re covering the President of the United States, the Trump Administration, or the United States of America,” Trump wrote. “Other Fake News Media Outlets to follow.”

Defense Secretary Pete Hegseth, whose deep unpopularity means he is likely eager to curry favor with Trump, promptly posted that the Defense Department fully supported Trump’s decision. He claimed that the same outlets, which recently have reported that Russia has been helping Iran target U.S. troops and that the Defense Department has not fully accounted for deaths of servicemembers or destruction of U.S. military bases, “endangered our troops with false stories, leaks, and trafficked in fiction and lies about the President, our Warriors, and their mission.”

The next day, reporters from those outlets attempting to enter the White House complex where the press facilities are located were denied entry, and Secret Service agents confiscated their press badges.

On Sunday afternoon, Trump posted an image of three full black trash bags, labeled “CNN,” “MSNBC,” and “Politico,” outside the White House.

This morning, after the weekend’s backlash, he posted: “The White House is not instituting an assault on the Free Press, something which I cherish. It is instituting an assault on the FAKE NEWS, something that has grown like Cancer in our beloved United States of America. It is corrupt, purposeful, pervasive, fully coordinated, and totally out of control. It is a threat to our National Security, and must be stopped, NOW!”

There’s that “national security” claim again: the same justification he’s using for building his ballroom and now his triumphal arch. It is also, not coincidentally, the excuse President Richard M. Nixon floated for covering up the Watergate break-in in June 1972.

In any case, no one’s buying it. MAGA Republicans have tried to claim that President Joe Biden cancelled 400 press passes. In fact, in 2023 the Biden administration tightened the rules to get a “hard” press pass that allows repeated, unaccompanied access to the press area of the White House. To have one, a reporter had to renew it annually, be employed full-time as a reporter, have a Washington, D.C., area address, and have had recent access to the White House. With that change, the number of White House hard passes fell from 1,417 to 975 because many of those who held passes didn’t reapply. Those people could still get day passes. In any event, these changes regarded individual reporters, not entire media outlets.

The Biden White House did not identify the one journalist whose hard pass application was denied.

Today CNN, MS NOW, and Politico sued Trump, Trump’s communications director Steven Cheung, Secret Service director Sean Curran, and White House chief of staff Wiles for violating both the Fifth and the First Amendments. “This ban could not be a more direct assault on the First Amendment, nor a more blatant violation of our most fundamental constitutional principles,” the lawsuit says. It says Trump banned the outlets and the reporters to retaliate against the reporters for their past news coverage “because he deemed it ‘negative’ and chilling future reporting about him and his administration’s policies and actions.”

They are suing for the restoration of their press credentials for their coverage of the White House.

U.S. District Judge Timothy Kelly, appointed by Trump to the bench in 2017, was assigned the case. Although Trump appointed Kelly, in 2018, the judge ruled that Trump’s revoking of journalist Jim Acosta’s hard press pass likely violated his due process rights. Trump groused that the news outlets “have drawn a great Judge, for them, a man who ruled in favor of Jim Acosta.” Apparently anticipating a loss, he has already vowed to appeal.

He ranted that journalists were demeaning the Oval Office by reporting negative stories about him. “Virtually every story about me, or anything having to do with me, is negative, wrong and, in many cases, DANGEROUS for our Country! No matter how GREAT my Achievements, they trivialize and demean,” he posted. “I have an obligation to fight for the Success and Safety of our Country. FAKE NEWS IS A THREAT TO DEMOCRACY, and I will do whatever is necessary to make sure that the U.S.A. thrives.”

Podcaster Allison Gill noted that Judge Kelly ordered the government to respond to the lawsuit by tomorrow, and that he has set a hearing for Wednesday afternoon at 3:30.

Perhaps of even more concern to Trump is that the major news networks are refusing to cover him on television, starving him of media oxygen.

ABC, CBS, CNN, Fox News, and NBC News take turns providing the television coverage of the president, and CNN was supposed to be in charge of the TV pool today. With CNN banned, the other networks refused to take its place, leaving television coverage of Trump suspended. A.J. Katz of The Wrap reported on their joint statement, in which they said: “The public has a vital interest in receiving accurate, independent information about its government. No administration should restrict a news organization because it objects to its reporting.”

This afternoon, Trump held an event at the White House, but without a press pool, there was no audio. It was just footage of Trump standing with a group of people and apparently talking.

The White House advertised “The White House App” on social media, claiming users could “[g]et real-time updates and live events streamed DIRECTLY to your phone. No noise. Just the news that matters most—straight from the Trump Administration. DOWNLOAD NOW,” it said.

Users were not kind. One commented: “I’d rather launch my phone into the sun than install a government propaganda app.” Others noted that the administration is eager to get its hands on user information, and only a fool would install what could be spyware on their phone.

Peter Alexander of MS NOW had his own response to Trump’s attacks on the press: “This is not normal. This is not business as usual,” he said.

“What’s happening right now is different. The latest threat against our cherished freedoms protected by the U.S. Constitution. The media is not perfect. There’s a debate to be had about who you trust, where you should get your news.

“This is something bigger, though. Among the privileges, the duties of a free press, are to hold power to account, to ask the difficult questions, to document history as it happens. The president says fake news is reporting that is untrue. In fact, it’s reporting that he finds unflattering.

“And here’s the reality. A little more than seven weeks until the midterms, many of the facts are unflattering. Where to begin? Gas prices, now $4.48 a gallon on average, $1.50 more than where they were before the war with Iran began. Ask farmers about the price of diesel, now at a record high, nearly $6.50 a gallon.

“All of it due to a war the president started, a war he vowed would be done within weeks but is now in its seventh month. Eighteen American service members dead, if not more, and that doesn’t even begin to scratch the surface.

“A trade war with Canada, an obsession with the Kennedy Center, if it’s not demolished like the East Wing, then there’s the grift, the self-dealing, a Russian oligarch paying for Trump’s son’s wedding party, billions of dollars made by the Trump family.

“Those are the facts. They may be unflattering, but they are not fake.

“I’ve been there since the beginning. Trump’s frustration, this fury, it didn’t happen overnight. On the campaign trail, I remember, before he even took office, he would yell at us in the bullpen in the back of those large rallies, riling up the MAGA crowd. Once elected, he would insult reporters to their face—I’ve been there—and he would call journalists the enemy of the people. As one of my former colleagues described it, Trump is trying to discredit the messenger, to create a vacuum where his version of reality fills that void.

“But the answer from journalists is simple. To report more, with more sources, more digging, more facts.”

Trump has his own answer. The White House YouTube channel announced this afternoon that at 7:00 tonight it will launch “TRUMP TV: The Essentials Station.”

The comment feature on the channel is turned off.

Notes:

https://www.cnn.com/2026/09/21/politics/cnn-politico-msnow-sue-white-house-access

https://www.politico.com/newsletters/playbook/2026/09/19/inside-the-white-house-media-ban-01085092

https://www.yahoo.com/news/politics/articles/major-tv-networks-stand-cnn-141408995.html

https://www.politico.com/newsletters/west-wing-playbook/2023/08/02/simons-no-longer-got-a-hard-pass-00109526

https://www.yahoo.com/news/politics/articles/jon-karl-steve-scalise-battle-221303649.html

https://www.nbcphiladelphia.com/news/national-international/after-trump-ban-ms-now-cnn-say-journalists-denied-access-white-house/4465973/

https://www.cnn.com/2026/09/21/politics/cnn-politico-msnow-sue-white-house-access

https://www.independent.co.uk/news/world/americas/us-politics/trump-white-house-press-ban-media-app-b3053825.html

https://thehill.com/regulation/court-battles/6101969-trump-appointee-judge-media-lawsuit/

YouTube:

watch?v=A4gNgHfZ-v4

Trump’s Truth:

statuses/41800

statuses/41814

statuses/41826

statuses/41836

X:

SecWar/status/2101069460396290454

atrupar/status/2102093387281088592

WhiteHouse/status/2102075720692330684

Bluesky:

​​ronfilipkowski.bsky.social/post/3mvte22gta22m

northjules.bsky.social/post/3mvwvy3mde225

atrupar.com/post/3mvxeq3jfp22z

muellershewrote.com/post/3mw2cvemof22g

kamimagic.bsky.social/post/3mw27x4qqi22u

willmckinley.bsky.social/post/3mw2uz2ejtk2n

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NATO 3.0

There's life after tenure denial: Emily Oster (on Mary in America)

 That there is life after tenure-denial is robustly proclaimed and manifested by Emily Oster, in the opening minutes of an interview by Mary Childs on her podcast Mary in America.  There is also, apparently, a Tshirt advertised on the internet saying "Emily Oster is wrong."

 

 

 

Dartmouth Provost okie-dokie

On Aug. 26, a Semafor investigation using Pangram to determine whether recent guest columns in major newspapers were written using artificial intelligence identified a column by Schnell as “100% AI-written.” Schnell’s column in The Washington Post — titled “Universities are fighting AI cheating. But there’s a deeper problem.” — argued that “a degree should distinguish what students can do independently from what they can accomplish with AI.

”The Dartmouth subsequently reviewed publications written by Schnell before and after the November 2022 public release of ChatGPT. Pangram 4.0, the latest publicly available version of the AI detector, labeled all of Schnell’s written works prior to 2022 as “100% human-written,” while a test of nine of his works published this year returned a median “AI-written” percentage of 96%. Between 2019 and 2026, Schnell did not publish any academic works or op-eds for which he was the sole author credited, according to his online curriculum vitae.Pangram 4.0 assesses whether a work is AI-written by separating the submitted text into smaller segments, which are then identified as “human,” “AI-assisted” or “AI-generated,” according to a Pangram technical report.

…Schnell’s Sept. 18 email statement to The Dartmouth was itself “100% AI-written,” according to a Pangram test.

Here is the full story, you people crack me up…

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Toadstools and toxins

Dried red mushrooms with textured, wrinkled caps and visible gills, creating a detailed natural composition.

When I found the mushroom Amanita muscaria being sold in candy wrappers, I uncovered legal loopholes, dangerous dosages and more

- by Eric Leas

Read on Aeon

Commercial Space Federation (CSF) Welcomes Two New Members

Commercial Space Federation 20th anniversary logo

September 21, 2026— Washington, D.C.—The Commercial Space Federation (CSF) is pleased to welcome ORBITInsure and Renaissance Strategic Advisors (RSA) as its newest members. ORBITInsure joins CSF as a Space Supply […]

The post Commercial Space Federation (CSF) Welcomes Two New Members appeared first on SpaceNews.

When does a nebula look like a comet? When does a nebula look like a comet?


Banning self-recursive improvement in AI models?

Some people are suggesting this, including Ezra Klein.

I do not understand how it is supposed to work.  Put aside the issue of foregone innovations, let us say I seek to access an AI from overseas.  Am I allowed to visit their website?  So many sites have AI behind them, including Chinese open source AI.  Do all of those sites get banned?  And how?  Firewall imposed on Americans?  And we cannot put the good open source models on our hard drives?  How enforced?  Does the government have to read the creation logs of the model (how can they?), and then decide whether I can use that model or not?

What if Anthropic licenses its IP to an independent subsidiary in the Cayman Islands and they keep on using code to improve the AI?  Or maybe only foreign nations are allowed to have the best models and the really fast rates of improvement?  How are multinationals supposed to operate across borders?  (Presumably you cannot just use the RSI of your foreign affiliate, but then the whole MNC is crippled and eventually rendered uncompetitive?)  How are we to keep “AI sovereignty” for Americans?

If the top U.S. labs have to give up on what is supposed to be really important, they will look very “catchable.”  The policy creates a big incentive for some other parts of the world to invest a lot more in compute.  How safe is that?  And in the short run, do we also have to stop American firms from selling their compute abroad?

Does this whole thing mean that regular companies can use AI to write code, but the main labs cannot?  Solve for the equilibrium there.  Or the whole code writing function goes away for everybody?

What is the political mechanism through which RSI progress gets turned back on again, and when?  Is it as rational as our current debate over data centers?  If the top companies are no longer building RSI models, how are they supposed to know how safe or unsafe they might be?

At current margins, are humans even capable of writing the next steps of code that are required for further progress?  At whatever speed?

I do not find this to be a workable idea.  I think it is “people wanting to do something that sounds reasonable and less scary,” without thinking through the practical details.  I have made a related point before, but one does best with AI policy when you start with the stuff that otherwise you might put into your last two or three paragraphs of an essay (“It remains to be seen how…but we are all human beings and surely we should not give up hope…”).  Even if you believe in a deal with China, and I do not, we (and others) now know competitors can catch up more quickly than we had thought, at least if they think they have a chance of winning.  They might even buy some space compute from Elon.

C’mon people, I know for many of you this is a difficult take to swallow, because it feels like “we don’t care enough” if we do not take some dramatic steps.  Nonetheless the reality is that, a long time ago, we made a whole series of decisions that imply…we have no other choice than to just see this one through and get it more or less right.  The longer we deny that truth, the harder it will be for all of us.

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An Epic View of the Seasons

Four full-disk images of Earth are arranged in a two-by-two grid. The December image on the upper left shows the South America centered with Antarctica visible. The June image features parts of North America and Arctic sea ice that were not visible in December. The March and September images have South America and North America in more intermediate positions.
Images from NASA’s EPIC (Earth Polychromatic Imaging Camera) aboard the NOAA mission DSCOVR (Deep Space Climate Observatory) show Earth on the December and June solstices and the March and September equinoxes, illustrating how the tilt of Earth’s axis shifts the continent’s apparent positions through the year.
NASA Earth Observatory/Michala Garrison

Most kids learn in elementary school that the seasons are caused by Earth rotating on a tilted axis during its yearly orbit around the Sun. The substantial tilt, about 23.5 degrees, is thought to be the result of an ancient planetary body, Theia, smashing into Earth about 4.5 billion years ago, in the same cataclysmic collision that formed the Moon.

To visualize why Earth has seasons, imagine the planet as a spinning top tilted to one side. Around the June solstice, the Northern Hemisphere leans toward the Sun, bringing more direct sunlight and longer days. Around the December solstice, the Southern Hemisphere does the same. That’s why June ushers in summer and warm weather in the Northern Hemisphere, while December does so in the Southern Hemisphere.

The March and September equinoxes serve as the midpoints between these two seasonal extremes. On those days, the terminator—the boundary between the sunlit and dark sides of Earth—runs directly through both poles. As a result, the Northern and Southern Hemispheres receive almost the same amount of sunlight, and day and night are nearly equal in length.

What do the seasons look like from about one million miles away? That’s the view provided by NASA’s EPIC (Earth Polychromatic Imaging Camera) aboard the NOAA mission DSCOVR (Deep Space Climate Observatory). By maintaining an orbit that puts the spacecraft between the Sun and Earth roughly 1.6 million kilometers (1 million miles) from Earth, the camera has a nearly continuous view of the sunlit hemisphere. As Earth spins during the course of a day, EPIC captures a full-disk image of the planet’s sunlit face every few hours.

The four images above, taken at roughly the same time of day, show how EPIC’s view of the Western Hemisphere changes over the year, from the December solstice (upper left) to the March equinox (upper right), June solstice (lower left), and September equinox (lower right). The most striking difference is between the two solstices. In December, South America lies near the center of the disk and much of Antarctica is visible, while North America is partially out of view. In June, Earth’s tilt means the situation is reversed: the Northern Hemisphere and North America are more centered, Arctic sea ice comes into view, South America is offset, and Antarctica is completely out of view.

There are other notable differences among the four images. Earth looks slightly smaller during the March and September equinoxes, for instance. That’s because DSCOVR was tens of thousands of miles farther away from Earth on those dates than on the solstices. On December 21, 2023, DSCOVR was 1,447,327 kilometers (899,327 miles) from Earth compared with 1,561,901 kilometers (970,520 miles) on September 22, 2024.

The slight difference in Earth’s apparent size has nothing to do with Earth’s tilt. Instead, it occurs because DSCOVR follows a looping, three-dimensional path called a Lissajous orbit to keep the spacecraft near Lagrange point 1, where the combined gravitational pull of the Sun and Earth and the centrifugal pull of the satellite balance out, making it easier for engineers to maintain the spacecraft’s position without using much fuel. DSCOVR’s distance from Earth swings between its maximum and minimum roughly every three months, and the timing drifts throughout the year because of lunar influences and orbital maneuvers. In 2024, the orbit happened to put the spacecraft slightly farther from Earth at both equinoxes, but that is not always the case.

There’s one other notable way the images differ. Because of DSCOVR’s Lissajous orbit, the angle between the Sun, Earth, and satellite varies between 2 and 12 degrees, explained Alexander Marshak, the deputy project scientist for the DSCOVR mission. Earth appears as a fully illuminated disk at smaller angles and less rounded at larger angles, like a “bite” has been taken out, similar to a gibbous phase of the Moon. For this set of images, the September 22 image has a slightly lower angle (8.1°) than the December 21 image (10.3°), making it appear slightly rounder and fuller. The angle between the Sun, Earth, and satellite in the other two images is between 9° and 10°.

“You can see the subtle influence of the changing orbital geometry in these images,” Marshak said. “But the most obvious changes—the apparent location of the continents—are due to Earth’s tilt.”

EPIC’s vantage point offers a perspective that makes it easier to understand and visualize why Earth has seasons, but after more than a decade in space, the mission has also opened up new approaches to understanding and observing how daily and seasonal cycles play out on a planetary scale. It has collected more than a decade of diurnal and seasonal data on many key features on Earth, including vegetation, clouds, ice, snow, UV radiation, ocean color, and aerosols.

NASA Earth Observatory image by Michala Garrison, using data from DSCOVR EPIC. Story by Adam Voiland.

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Stargazing 5

The sun and the moon appear the same size in the sky, even though in real life the sun is more than twice as big. Some call this lucky alignment coincidence; others say it's proof that sometimes things can be the same size.

Jev introduces a new shape of LLM - System One, aka Decision Models

Last week TypeSafe AI unveiled Jev, their first example of a new category of model that they are calling "System One models" (I'm with Maggie Appleton, I think "decision models" is a better name for these). Jev is an interesting variant on the usual LLM format: it still accepts text inputs, but instead of text output it returns floating point numbers corresponding to categories, yes/no questions, ratings, and associated confidence scores.

TypeSafe describe Jev like this:

Think of Jev as a frontier-intelligence function call: unstructured state in, typed probabilistic decisions out.

It's also very fast, and really cheap. Regular LLMs are priced in terms of input and output tokens, with output generally charged at significantly higher rates. Jev charges only for input - output is free - and the input price of their first model is $0.042 per million tokens - cheaper even than OpenAI's GPT-5 Nano ($0.05/million).

Jev lets you ask questions about text or semi-structured data. You compose a "state" object containing a string, array of strings, or set of name-value pairs - this might describe an article, or a customer, or any other kind of record. You then send that to their API with one or more questions, and get a reply back for each.

You can ask three kinds of questions:

  • Yes/No questions, which Jev calls "Noul" questions - their CEO confirmed on Hacker News that this is short for Bernoulli, from the Bernoulli distribution. You pose a statement and get back a floating point number between 0 and 1 for how confident the model is that the statement is true.
  • Choice questions, where the model picks one from a set of provided options - actually a confidence score plus a probability distribution across all of the options.
  • Score questions, where you provide sequence of numeric levels with descriptions and it provides a floating point score somewhere along that range.

The Jev API can accept a single document ("state") and as many questions as you can cram into the context window. Questions are evaluated in parallel, so sending many questions should take a similar time to sending just one.

The Jev 1.13 jaggedness documentation offers useful guidance as to Jev's strengths and weaknesses. It's currently not great with numbers, dates, or "adversarial content".

I think the decision model framing is useful for understanding where to use Jev. It's great for anything that can be expressed as a classification task - think spam detection, suggesting labels, prioritization and ranking.

I've also been experimenting with it for search reranking, where you fetch 100 likely matches using an inexpensive algorithm like BM25, then have Jev score those 100 candidates for relevance against the original query.

Black boxes are back in fashion

Something I've found a little uncomfortable about Jev is how it very much represents a regression even further towards black box machine learning systems.

LLMs are black boxes already - you can ask them to justify their decisions, but you can't guarantee that what they say is useful or accurate.

Jev doesn't even give you that: put in all the text you want, the only thing you're going to get back is a floating point number. If Jev marks something as spam, which content signals tipped it off?

This also means that concerns about bias should be front and center. I really hope nobody uses Jev to rank job applicants - that floating point number could conceal all manner of unseen bias baked into the models, and experimentally picking that bias apart is going to be a tricky business.

(I tried one experiment where I had Jev score every city in the San Francisco Bay Area on a yes/no answer to whether they were a "Good city?" - it rated Cupertino top and East Palo Alto bottom. Huh.)

In practice, this all means that evals and structured experiments are even more important than they are for regular LLM projects. Thankfully, Jev is so cheap that running hundreds or even thousands of experimental prompts through it costs just a few cents.

Unconventional uses for Jev

It's been really fun watching the wider community come up with potential use-cases for Jev over the past few days. Here are some creative ones that caught my eye:

  • jevchat by Kyle Pena turns Jev into a (terrible) chat model. "At every step it asks Jev one question: Given the user's question and the reply written so far, which symbol comes next?". ericpruitt on Hacker News: "It's the digital equivalent of Morty speaking with the death crystal".
  • jev-leftpad by Fatih Kadir Akın implements left-pad with the prompt "How many spaces are needed before value to reach targetLength?" and a choice query allowing options from "0 spaces are needed" to "10 spaces are needed".
  • jev-2048 by Andy Gayton uses Jev to play the 2048 sliding puzzle game.

Open weight recreations

There's also been a flurry of projects attempting to create a model like Jev using on top of open weight models. Kev is one interesting example, using Qwen 3.5 to produce 0.8B, 4B, and 9B models. Here's the accompanying Hacker News thread, where someone linked to a JevBench benchmark that has already cropped up to compare "Jev-class decision models".

Given Jev was released just under a week ago, the amount of activity around it is extremely impressive.

Using Jev from LLM

Update 22nd September 2026: I released llm-typesafe, a plugin that adds support for Jev to my LLM CLI tool and Python library. Basic usage looks like this:

llm -m jev 'Please refund my last payment.' \
  -s 'Does this message explicitly request a refund?'

See the README for examples of other query types.

Tags: ai, generative-ai, llms, evals, ai-bias, jev

Cloudflare Python Workers are now generally available

Cloudflare Python Workers are now generally available

After a two year preview, Cloudflare's support for running Python code in their server-side Workers platform is now stable: "Python is now a first-class, fully supported language on the Cloudflare Developer Platform".

A neat thing about this is how it works. Cloudflare are running Python compiled to WebAssembly via Pyodide in their V8-based workerd runtime.

This comes with some limitations, documented here - most notably both multiprocessing and threading are non-functional in the WebAssembly VM.

One particularly interesting detail of this is the local development environment story - their pywrangler development tool (confusingly packaged as workers-py on PyPI) runs a full local simulation of their stack, including executing code with Pyodide in WebAssembly in V8 in a 123MB workerd binary, which for me ended up in node_modules/@cloudflare/workerd-darwin-arm64/bin/workerd.

Python Workers represent a significant investment in the wider Python ecosystem by Cloudflare. The release announcement is credited to Gyeongjae Choi, Dominik Picheta, and Hood Chatham - Gyeongjae and Hood are both Pyodide core maintainers.

Via Hacker News

Tags: python, cloudflare, webassembly, pyodide

Monday 21 September 1663

Up very betimes by break of day, and got my wife up, whom the thought of this day’s long journey do discourage; and after eating something, and changing of a piece of gold to pay the reckoning, we mounted, and through Baldwicke, where a fayre is kept to-day, and a great one for cheese and other such commodities, and so to Hatfield, it being most curious weather from the time we set out to our getting home, and here we dined, and my wife being very weary, and believing that it would be hard to get her home to-night, and a great charge to keep her longer abroad, I took the opportunity of an empty coach that was to go to London, and left her to come in it to London, for half-a-crown, and so I and the boy home as fast as we could drive, and it was even night before we got home. So that I account it very good fortune that we took this course, being myself very weary, much more would my wife have been. At home found all very well and my house in good order. To see Sir W. Pen, who is pretty well, and Sir J. Minnes, who is a little lame on one foot, and the rest gone to Chatham, viz.: Sir G. Carteret and Sir W. Batten, who has in my absence inveighed against my contract the other day for Warren’s masts, in which he is a knave, and I shall find matter of tryumph, but it vexes me a little. So home, and by and by comes my wife by coach well home, and having got a good fowl ready for supper against her coming, we eat heartily, and so with great content and ease to our own bed, there nothing appearing so to our content as to be at our own home, after being abroad awhile.

Read the annotations

Of Donald and Diesel

Plumes of smoke rise from fires (centre) at an oil refinery following what the authorities say is a Ukrainian drone strike in the course of the Russia-Ukraine conflict, in Moscow

A Moscow refinery burning

A little over a week ago Donald Trump, who has made many unreasonable demands on Volodymyr Zelenskyy, the Ukrainian president, added a new one:

Mr. Zelensky has to do one thing. He has to stop knocking out diesel fuel in Russia. Let him go after targets but not diesel fuel, because he’s causing a shortage of diesel fuel.

Even for a New Yorker, the chutzpah was striking. For those not familiar with the term, chutzpah is when you murder your mother and father, then plead for leniency because you’re an orphan.

Trump has effectively created this situation by cutting off all aid to Ukraine, while in addition denying the Ukrainians even the ability to buy Patriot interceptors. Those missiles would have allowed them to fend off Vladimir Putin’s relentless missile attacks on civilian targets. Trump’s actions were clearly intended to leave Ukraine defenseless. But the Ukrainians — with help from the democracies of Europe — have survived, responding to Putin’s attacks by using their own, home-grown, drones and cruise missiles to make effective strikes against Russia’s energy infrastructure.

Last night, for example, a massive, coordinated Ukrainian assault set Moscow’s largest oil refinery ablaze.

Now Trump, having already betrayed Ukraine to Putin, is demanding that Zelenskyy commit strategic suicide. He wants the Ukrainians to go easy on Russia because the indirect effects of those attacks are hurting Republicans’ prospects in the midterm elections. As I said, chutzpah.

Aside from the outrageous nature of his demands, Trump’s remarks were interesting because they reveal the extent to which refined products, especially diesel, have replaced crude oil as the key bottleneck in the global energy crisis.

I still sometimes see commentators asserting that fears about the effects of Trump’s disastrous Iran war on energy prices were overstated, because the price of crude oil is “only” $102 a barrel, far above prewar prices but well below the $150-$200 range some analysts warned was possible. But nobody burns crude oil; they burn products refined from crude oil, mainly gasoline and diesel. And here’s what has happened to the price of diesel:

Diesel is currently selling at more than $200 a barrel. It’s true that there is always a “crack spread” between crude and diesel, but it’s typically on the order of $20. So the price of diesel is currently roughly what we would normally expect with crude at around $190.

The current world energy crisis, then, is largely a crisis in petroleum products, refined from crude oil, rather than in petroleum itself. And its proximate cause is a global shortage of refining capacity. As an informative report by Matthew Dalton in the Wall Street Journal put it, “Refineries Are Now the Main Chokepoint for Global Energy Supplies.”

Regular readers may recall that I’ve been making this point for a couple of months. And the shortage of refining capacity is, in turn, helping to keep crude prices down. As I wrote last month, “Buyers aren’t willing to pay extremely high prices for oil they can’t refine.”

So, chutzpah aside, is Trump right to attribute high diesel prices to Ukraine’s campaign against Russian refineries? No and yes.

Much of the world’s refining capacity is located in the Middle East, where it has been disrupted by Trump’s war. As Dalton notes,

the diesel blocked in the Persian Gulf is around three times as large as supplies missing from Russia compared with before the Iran war

However, the way refineries have replaced crude production as the world’s main energy chokepoint reflects the fact that refining capacity has been reduced more than crude production. And the disruption of shipments through the Strait of Hormuz has reduced world supplies of both crude and refined products. It’s at least arguable that Ukraine’s air campaign, which has done much more damage to Russia’s refining than to its crude production, has therefore played a disproportionate role in driving up diesel prices.

And expensive diesel is a big problem for the economy.

High diesel prices raise the cost of living, mainly through indirect effects. Relatively few passenger cars burn diesel — but diesel powers almost all large commercial trucks and two thirds of farm and construction equipment. So high diesel prices raise the cost of production across the economy, cost increases that eventually get passed on in the form of higher inflation.

Furthermore, rising diesel prices are even more likely than rising gasoline prices to drive up interest rates.

Why? The Federal Reserve, which sets short-term interest rates, normally focuses on “core” inflation, which excludes volatile food and energy prices. I’ve written many times about the reasons this focus makes sense. And the focus on core inflation typically leads the Fed to “look through” surges in gasoline prices, which affect headline inflation but not core inflation.

However, because surging diesel prices mostly raise inflation indirectly, via producer costs, they drive up core inflation in a way rising gas prices don’t. And this makes it hard for the Fed to avoid raising rates in the face of higher inflation.

One could argue that the Fed should adjust its measure of core inflation to exclude the effects of diesel prices too. But right now the Fed’s credibility is wobbly: It’s under constant pressure from Trump to cut rates, and many people are still suspicious about the motives of Kevin Warsh, Trump’s hand-picked Fed chair. So this is not a time when the Fed can afford to be seen changing its criteria for monetary policy in a way that might weaken its fight against inflation.

Between their direct effect on inflation and their indirect effect on interest rates, then, high diesel prices are an economic problem for America and a political problem for Donald Trump. Ukraine’s strikes on Russia are contributing to that problem. So Trump actually has good reasons to want Ukraine to stop its highly effective air campaign.

But he neither should nor will get what he wants. Remember the chutzpah factor. You don’t get to betray a nation, then demand that it help you politically, offering nothing in return.

MUSICAL CODA

Reverse-Engineering Flock Cameras

Hackers captured a Flock camera and got a look (alternate link) at the software:

While much of the automatic license plate reader’s (ALPR) most sensitive storage remained encrypted and inaccessible, the joint analysis of the recovered data shows that software running on the device explicitly detects people as well as vehicles, license plates, and bicycles. The camera can produce dozens of images of a single passing vehicle and, according to several weeks of recovered logs, generated more than a million images. Its computer-vision software also sometimes isolated bumper stickers and other graphics, including, in one case, an American flag patch on a motorcyclist’s saddlebag.

If you’re wondering how the hackers got by disk encryption, one of the unencrypted partitions contained the key for an encrypted partition. That’s pretty bad security engineering.

Links 9/21/26

Links for you. Science:

Remembering Dr. Joe Romm
Outer membrane changes enable evolutionary escape from bacterial predation
Was the Teen Who Died From Measles Immunocompromised
‘Babies are dying’: How Pennsylvania’s measles outbreak changed the vaccine mindset of this Amish country midwife
Vought pushes for scrutiny of NIH grants and budget in Oval Office clash
There’s A Big New Crater On The Moon
AI is giving scientists more ideas than they can test. A new report from Google, Google DeepMind and M.I.T. finds that researchers are using AI—a lot. It’s just not helping as much in the lab

Other:

A.I. Is a Threat, but Not in the Way You Think
What if we’re wrong about party asymmetry? (excellent)
In Fighting for Every Black Child, Did I Betray My Own?
A.I. Risk And The End Of The Neoliberal Style In Politics
The Bullshit Machine Did Some Bullshit
Trump’s arch will harm historic sites but must proceed, federal officials say
Can Two Friends Complete a Game No One Has Ever Finished? The Campaign for North Africa, a staggeringly complicated World War II board game, has stymied players for decades. Now two guys in England are giving it a serious go.
Jared Kushner’s Dollar Diplomacy: Donald Trump’s son-in-law represents the kind of Washington figure for whom public office serves as a means to extraordinary wealth.
Immigrants’ Lawyers Say U.S. Is Redacting Documents Proving Legal Status
Those Viral Bodega Peptides Aren’t Actually Peptides
A Gender War Explodes in Utah Over the Courts, Abortion and Representation
Lauren Boebert accused of sex with three staffers in complaint alleging $200K hush payment
Trump Is a Runaway Train—and Nobody’s Pulling the Brakes
Inside the US ‘Kill Chain’ That Destroyed an Iranian School
A Hispanic Republican in Florida is facing her FAFO moment
LeBron James Wants Your Paycheck To Become His Paycheck, By Way Of Polymarket
MAGA Commentator Roasted For Suggesting Veggie Burgers Amid Rising Beef Prices
Voting groups sound alarm on funding shortfalls that they say could affect midterm turnout
CNN’s Dana Bash Takes Aim At ‘Gross’ Michigan Voter Bias In Poll
The working class face a ‘class ceiling’ in elite occupations
Robert Kraft Once Said He’d ‘Fight Like Hell’ for a Palestinian Homeland. Now He’s Fighting Against ‘Free Palestine’
Why Democrats Might Choose to Impeach Cabinet Members (yes, they should do this)
‘Doom Loop’: OpenAI and Microsoft Admits LLMs Are Destroying the Web and Built on Theft
Kash Patel’s attack dog act does more than please Trump. The FBI director’s testimony is part of a larger MAGA strategy to sow cynicism
University Rescinds Job Offer to Activist Who Allegedly Wiped Phone Before DHS Could Search It
Trump’s made man leaves the family without a single indictment
I Hijacked a Real Artist’s Spotify with AI Music. It Was Disturbingly Easy
White House doesn’t want voters to see the real Trump
How American Jews Find Meaning on Yom Kippur
The election experts and the models can’t both be right

Atlantic Tropical Weather Outlook


Atlantic 2-Day Graphical Outlook Image
Atlantic 7-Day Graphical Outlook Image


000
ABNT20 KNHC 230506
TWOAT

Tropical Weather Outlook
NWS National Hurricane Center Miami FL
200 AM EDT Wed Sep 23 2026

For the North Atlantic...Caribbean Sea and the Gulf of America:

Far Eastern Tropical Atlantic:
A tropical wave is about to move off the west coast of Africa. An
area of low pressure is expected to form in a day or so, and it
could become a short-lived tropical depression on Thursday or
Friday. Strong upper-level winds should end the opportunity for
development by the weekend. Interests in the Cabo Verde Islands
should monitor the progress of this system as gusty winds and areas
of heavy rain are possible there by the end of the week.
* Formation chance through 48 hours...low...20 percent.
* Formation chance through 7 days...medium...40 percent.

$$
Forecaster Cangialosi


Eastern Pacific Tropical Weather Outlook


Eastern North Pacific 2-Day Graphical Outlook Image
Eastern North Pacific 7-Day Graphical Outlook Image


135
ABPZ20 KNHC 230520
TWOEP

Tropical Weather Outlook
NWS National Hurricane Center Miami FL
1100 PM PDT Tue Sep 22 2026

For the eastern and central North Pacific east of 180 longitude:

Active Systems:
The National Hurricane Center is issuing advisories on Hurricane
Polo, about 200 miles offshore of southern Mexico, and on Tropical
Storm Odalys, located well west-southwest of the southern tip of
Baja California.

Southeast of the Hawaiian Islands (Former TD 15-E):
Showers and thunderstorms associated with the remnants of Tropical
Depression Fifteen-E, located a few hundred miles south-southeast
the Big Island of Hawaii, have become better organized.
Environmental conditions remain conducive for development, and a
tropical depression could form tonight or Wednesday while the system
moves slowly west-northwestward. Heavy rains associated with this
system are forecast to spread over the southeastern Hawaiian Islands
starting on Wednesday and continuing through Saturday, possibly
resulting in life-threatening flash flooding and mudslides for
portions of the Big Island and Maui. Interests in the Hawaiian
Islands should continue to monitor the progress of this system.
* Formation chance through 48 hours...high...90 percent.
* Formation chance through 7 days...high...90 percent.

South of the Gulf of Tehuantepec:
An area of low pressure is expected to form in a couple of days to
the south of the Gulf of Tehuantepec. Afterwards, environmental
conditions should be favorable for gradual development, and a
tropical depression is likely to form late this week or this weekend
as the system moves slowly west-northwestward to northwestward,
parallel to the coast of southern and southwestern Mexico.
* Formation chance through 48 hours...low...near 0 percent.
* Formation chance through 7 days...high...70 percent.

$$
Forecaster Kelly


Apple TV to Finally Air ‘The Savant’ in Early 2027, Supposedly

Nellie Andreeva, reporting for Deadline:

The release of The Savant is back on. A year after Apple TV put the thriller starring Jessica Chastain on hold three days before it was slated to premiere on Sept. 26, 2025, the streamer has rescheduled it for spring, 2027. The exact timing, which is still being finalized, will make the series eligible for the 2027 Emmys, I hear.

As Deadline reported at the time of the postponement, The Savant’s last-minute benching was due to its storyline about preventing extremist attacks and some imagery, including sniper attacks, that were considered potentially triggering two weeks after the assassination of right-wing political activist Charlie Kirk.

The only people who were potentially “triggered” by this would be whoever answers the phone in Cupertino when the White House calls. Variety and Dark Horizons both echo Deadline’s reporting that Apple TV is finally going to air The Savant early next year, but Apple TV’s own press page still lists it as “Premiere Date: Coming Soon”.

 ★ 

Yours Truly on CNBC’s ‘Squawk on the Street’ Friday

I genuinely enjoyed that Sara Eisen laughed a little when introducing me as having written a 5,000-word review of the iPhone 18 Pro.

 ★ 

Ichiro, at 52, Throws 127-Pitch Shutout Against All-Star Girls Team in Japan

Sofia Schwarzwalder, reporting for The Seattle Times:

Since turning 50, the Mariners legend has been inducted into the Hall of Fame, launched eight homers at the Mariners Alumni Home Run Derby this summer and, most recently, tossed a 127-pitch shutout with 17 strikeouts during an annual All-Star Game against the best high-school girls in Japan. [...]

The All-Star Game took place Sunday at the Tokyo Dome in front of a reported 25,000 fans. The game also featured former New York Yankees All-Star outfielder Hideki Matsui. In addition to his dazzling performance on the mound, Ichiro led off the game and had a pair of hits.

Speaking to reporters in Japanese, Ichiro said, “I wanted to see what my current limits were, and this gave me confidence in myself.”

Trung Phan, on X, posted a short video of clips. Ichiro was tossing some nasty stuff.

 ★ 

Glenn Fleishman on the Increasing Impracticality of Shipping From the U.S. to the E.U.

Glenn Fleishman:

Recent protectionist changes by the European Union further effectively exclude U.S. small businesses like mine from selling to EU customers. It’s a little complicated, but it has to do with how tax and customs fees are collected and extracted from low-value packages. This is not a tariff issue, unbelievably, but one about reducing competition.

The summary:

Delivering items under €150 per shipment into the EU now costs at least €3 per package, and may require hiring a specialty firm to manage time-of-purchase tax collection and payment because of the many differences in filing by EU nation. Shipping prices have swelled. No shipper currently offers rates close to affordable for modestly priced items, like books, while properly collecting the €3+ customs fee.

If these new rules were prompted by Chinese companies like Temu taking advantage of de minimis shipping exceptions (basically by shipping zillions of cheap items one at a time, rather than in bulk), the new rules ought to apply only for items arriving from China.

 ★ 

David Pogue: ‘125 Tests of the New AI Siri’

David Pogue:

The hardest part will be getting out of the habit of opening apps, and remembering that you have Siri. Give it a few tries. Learn to trust it. You’ll save incredible amounts of time and fumbling.

I used the beta-test version all summer, growing more and more excited. Now that the final version is out, I wanted to see how often it gets things right. It is AI, after all. So I ran it through 125 tests.

Some of these tasks are things Apple said are possible. Some ideas, I picked up from people on Reddit trying stuff. Some, I just wondered if Siri could do. It failed a handful of times. But a few other times, it absolutely blew me away. It did amazing things I bet you never suspected Siri could do.

I’ve been using iOS 27 with the new Siri AI since the week after WWDC, and the single biggest problem I have echoes Pogue’s: remembering that Siri is now useful. I keep doing things manually, then thinking “Hey, I should have tried that with Siri...”, trying it again with Siri after the fact, and realizing only then that Siri accomplished the thing.

 ★ 

Matthew Butterick: ‘Big AI to Humanity: Drop Dead’

Matthew Butterick:

So let’s not take the bait. Nor overcomplicate. We needn’t spin our collective wheels spitballing answers to big-picture, long-term Al-policy questions. We don’t know enough yet. The best next steps are the concrete ones: Big Al needs to follow all current laws — just like everyone else. So far — they haven’t. When Big Al breaks those laws, they must face prosecution and penalties — just like everyone else. So far — they haven’t. The state and federal agencies tasked with enforcing those laws need to apply them to Big Al — just like everyone else. So far — they haven’t. In short, we have to attend to the basic features of the rule of law. So far — we haven’t. If we can’t or won’t insist on that now, then we shouldn’t expect to be able to later.

 ★ 

‘Measuring Nothing (With Great Accuracy)’

Seth Godin back in 2014:

You can’t tell if a book is any good by the number of words it contains, even though it’s quite easy and direct to measure this.

(Vis-à-vis my sidenote over the weekend about Apple refusing to publish mAh battery specs for iPhones.)

 ★ 

Things Fall Apart (in the Middle East): The Donald Trump Story

One of the key arguments for a great power — other than the great power itself wanting to be one — is that they act as a guarantor of stability and the status quo. That is far from the only public or global good. And a great power will ensure that status quo on its own terms and mostly to its own advantage. But if you have any acquaintance with history, you know you can do a lot worse than relative peace and the status quo. Trump’s Iran War has been a bracing illustration of all these realities. Once the great power starts letting things break, those breakages can start multiplying very fast. Eventually you’ll find a new equilibrium, of course. But eventually can take a long time. And again, even a passing acquaintance with history tells us that things can suck without end for extended periods of time.

There’s an interesting New York Times piece from over the weekend that illustrates all these things. We know the outline. But it provides new details. As a knock-on effect of the U.S. war with Iran, the ongoing battle between Saudi Arabia and the Houthi rebel government in Yemen has again become hot. In recent weeks, the Houthis have partly cut off Saudi Arabia’s other path to the ocean. Put simply, the Saudis can export oil through the Strait of Hormuz or the Red Sea. The former has been mostly closed for months. Now the Houthis are in de facto or near control of the second. That’s a big crisis for the Saudis. This is part of the larger U.S.-Iran battle because the Houthis are clients of Iran. And Iran’s core strategy has been to create enough pain for the U.S.’s regional allies that they will force the U.S. to end the war. Remember, each time the U.S. attacks Iran, they respond by attacking the various Gulf emirates.

The de facto leader of Saudi Arabia, Mohammad bin Salman (MBS), has been urging Trump to help Saudi Arabia beat back the Houthis. He’s mainly been refusing them. What the Times story details is that on Thursday MBS called Trump and apparently literally begged him for help, to the extent that Trump gave in and agreed to join the Saudis’ fight. Trump had told his advisors the day before he wanted to stay out. Then MBS convinced him. But by Sunday he was back to wanting to stay out. That’s where things stand. This is an inconstant, impressionable and weak man. This is the nature of personalized rule when the would-be autocrat is in physical and mental decline.

There’s nothing righteous about teaming up with the Saudis in this case. It’s two pretty nasty players who’ve been fighting for years and causing huge civilian carnage along the way. But Trump has been willing to help before. From what I can tell, at least some of Trump’s current resistance is tied to the fact that he’s miffed at MBS for not helping with opening up the Strait. (Put a pin in that for a future post; it’s probably playing a bigger role than we imagine.) But he also doesn’t want more escalation of his politically and electorally disastrous war before the midterms. That pitiful and comical back-and-forth also demonstrates the role of personalism. The U.S. doesn’t really have a policy. It has the mindset and top fears, on any given day, of Donald Trump.

If my narrative above was a documentary, this is where you freeze the shot and say: this is why you think long and hard before you launch a war like this for essentially no reason. Lots of things can go wrong and you may end up needing to do things you don’t want to do and really shouldn’t do. But you have to because you’ve created a set of circumstances where you have no choice.

Here’s another thing to consider. The Saudis have a huge, huge amount of military hardware. On paper, they should have one of the most potent militaries in the world. But it’s always been known or mostly suspected that it’s vastly weaker than the price tag would suggest. U.S. reporting sometimes gives you the sense that the Houthis are some mountain folk on horseback. That’s not true. They control most of the country and have for some time. In practice, they’re an internationally isolated government. But Yemen is still a poor and war-torn country. The fact that the Saudi military can’t prevent them from basically blockading Saudi Arabia tells us the story. The truth is what everyone has always suspected. The Saudis have a paper army (let’s be generous and call it cardboard); when it gets into trouble, they have to call the U.S. Now they’re calling because of a crisis the U.S. started on its own. But the U.S. isn’t helping. And now Saudi Arabia is mostly blocked off from the sea.

Let me be emphatically clear: MBS isn’t some valiant player who has become yet another victim of Trump’s perfidy. He is awful in basically every way you can imagine. And the Saudis’ war in Yemen has been horribly destructive. Tens of thousands of Yemenis have died in the conflict.

But the supply of oil rests on that promise that the U.S. will take care of things if its regional allies — with their generally feeble militaries — get into trouble. The U.S. is now failing that promise two or three times over: by starting the war in the first place, by letting the Gulf kingdoms deal with the blowback on their own. That’s a reality that can’t hold. These patrimony states will either find other protection or build real militaries themselves.

In a way, it is a more brutal and militarized version of the breakdown in relations with America’s NATO and EU allies in Europe. The U.S. has become a chaos power which is not meeting the terms of the regional deal, and the other players are trying to figure out what to do in its place, what Plan B is — only there’s no immediate Plan B available. It’s not that there aren’t any downsides to the U.S. global hegemony or that it doesn’t have its critics. But what we’re seeing here isn’t the U.S. global hegemony being replaced by some more inclusive, less militarized successor. We’re seeing it just disappear. Perhaps Canadian Prime Minister Mark Carney will make some progress with his “middle powers” banding together to create a new and more just world order. But it’s definitely not here yet.

What is telling, of course, is that the Trump White House is filled with people with all sort of culture war hang-ups about Western Europe. They like sticking it to the Europeans, even if they’re not quite clear on the longterm consequences. But the Saudis and the other Gulf emirates are Trump’s guys. They’re supposed to be top oligarchic players in the new Trumpian, regional, spheres-of-influence world. But they’re getting hosed too. And Trump is doing things that will lead to even more chaos and even higher prices down the line because he mostly wants to avoid them in the next six weeks.

Simply put, when dumb leaders do impulsive things and then leave the consequences to others to clean up, things can degenerate really, really fast. And that’s exactly what’s happening.

GM Confirms They’re Still Smoking Crack

Joanna Stern, on X:

GM has confirmed it is NOT rolling phone projection to GM EVs. Instead this announcement is specific to JUST their new gas powered light-duty pickups, which have always supported Apple CarPlay and Android Auto.

 ★ 

America’s Decline Can Be Measured by the Names of Ballparks and Arenas

MLB:

Comerica Park has had several alternate identities since it became the Tigers’ home in 2000. Some have called it Comerica National Park for its spacious dimensions. Some fans simply came to call it Comerica, or abbreviated it to CoPa, as they grew comfortable with it over the years.

Starting next year, the Tigers’ ballpark will have a new formal name: Fifth Third Park.

Filth Turd Park. Rolls right off the tongue.

 ★ 

Perseverance’s View of ‘Turquoise Bay’

1 Min Read

Perseverance’s View of ‘Turquoise Bay’

A panoramic view of a barren, reddish-orange Martian landscape stretching toward distant hills, partially obscured by the jagged black silhouettes of a rover in the foreground.
PIA26815
Credits: NASA/JPL-Caltech/MSSS

Description

NASA’s Perseverance Mars rover used its Mastcam-Z camera to capture this 360-degree panorama of “Turquoise Bay,” a geologic area of interest in the “Margin Unit.” The 818 images used to create the natural-color panorama were captured between Oct. 5 and Oct. 16, 2023, the 933rd to 944th Martian days, or sols, of the mission.

A panoramic view of a barren, reddish-orange Martian landscape stretching toward distant hills, partially obscured by the jagged black silhouettes of a rover in the foreground.
Figure A (low resolution)

Figure A is an enhanced-color version, in which color bands were processed to improve visual contrast and accentuate color differences.

NASA’s Jet Propulsion Laboratory, which is managed for the agency by Caltech in Pasadena, California, built and manages operations of the Perseverance rover. Arizona State University leads the operations of the Mastcam-Z instrument, working in collaboration with Malin Space Science Systems in San Diego, on the design, fabrication, testing, and operation of the cameras, and in collaboration with the Niels Bohr Institute of the University of Copenhagen on the design, fabrication, and testing of the calibration targets.

For more about Perseverance: science.nasa.gov/mission/mars-2020-perseverance/

The post Perseverance’s View of ‘Turquoise Bay’ appeared first on NASA Science.

Further results on AI and labor market reallocation

This paper documents how artificial intelligence has affected stocks and flows in the U.S. labor market. Combining CPS and JOLTS data with AI exposure and adoption measures from OpenAI and Lightcast, respectively, we construct labor force stocks, worker flows, and market tightness by AI exposure and adoption. Since the introduction of LLMs, workers with high AI exposure and adoption have experienced larger declines in job-finding and job-switching rates than other groups, while their within-job activity switching has increased noticeably relative to others. The positive effects of AI on nominal wage growth and hours worked attenuate markedly in the post-LLM period, suggesting that LLM-driven reallocation has operated through within-firm task reorganization and a reconfiguration of labor inputs, alongside weaker demand for workers most exposed to AI. To quantify LLM-driven reallocation pressure, we construct individual-level hirability and separability indices and showthat dispersion in job-finding prospects has risen markedly since 2023, largely driven by the AI factors. The natural rate of unemployment—recovered from the trend components of unemployment inflows and outflows by AI exposure and adoption, as well as from a theoretical model of structural unemployment—is estimated to have risen by about 0.1-0.2 percentage point since the introduction of LLMs, albeit with considerable uncertainty.

That is from a new NBER conference paper by Hie Joo Ahn and Nicholas A. Carollo.  Via Inclusive Productivity Network and Alex Imas.

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Monday assorted links

1. Avi Loeb video on UAPs.

2. “[The Mises] library now has a permanent independent home: https://freecapitalists.org/. It holds 945 books, 3,374 journal issues and 2,732 recorded lectures, all free, in PDF, EPUB and MOBI, with the rights recorded per work.”

3. “They invited me to come see it for myself at Sopchoppy’s annual worm grunting festival, which draws thousands of visitors.” (NYT)

4. The (small) movement to return Europe to Latin.

5. Political pro-Trump bias in Polymarket?

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SpaceX’s Super Heavy booster arrives at pad ahead of first orbital Starship launch

SpaceX rolled its Super Heavy booster, tail number B21, out to Pad 2 late Sunday night, Sept. 20, in preparation for the launch of Starship Flight 14 no earlier than Sept. 28. Image: SpaceX

SpaceX placed a Super Heavy booster on the launch pad at Starbase in Texas Monday, as it continues testing and preparations for the first planned orbital flight of Starship, scheduled for launch as soon as Sept. 28, pending final approval from the Federal Aviation Administration (FAA).

The Super Heavy booster, with the tail number B21, departed its assembly building shortly before midnight local time and was placed on the launch mount at Pad 2, roughly two hours later. The stainless-steel booster stands 236 feet tall (72 meters) and boasts a diameter of 9 m (29.5 ft). By comparison, a Falcon 9 rocket has a diameter of 3.7 m (12 ft). The downcomer pipe that carries methane fuel down the center of the Super Heavy Booster’s liquid oxygen tank to the Raptor engines at its base is roughly the size of an entire Falcon 9 rocket.

SpaceX hasn’t said whether it intends to perform a fully integrated wet dress rehearsal tanking test of the rocket once assembled prior to the upcoming launch attempt.

As of Monday morning, there were no road closures published for the City of Starbase, suggesting that it may be a day or two at least before the Starship upper stage, tail number S41, is rolled out to join B21.

Although SpaceX is targeting the launch for Sept. 28 at 7:15 a.m. CDT (1215 UTC), it can only proceed once the FAA approves the license modification needed for SpaceX’s orbital flight plan.

This would be the first time that the FAA grants an orbital license for an object the size of a Starship upper stage (171 ft/52 m in height).

If something were to go wrong that prevented Starship making a planned deorbit burn, it could pose a danger during an uncontrolled reentry. Its heat shield and bulk could result in large portions of the craft crashing to Earth. The FAA wants to ensure that the vehicle and SpaceX are truly ready for this next step.

“In addition to completing the environmental review, license applications must also meet FAA safety, policy/payload, and financial responsibility requirements to receive authorization for flight,” the FAA said in a statement.

SpaceX rolled its Super Heavy booster, tail number B21, out to Pad 2 late Sunday night, Sept. 20, in preparation for the launch of Starship Flight 14 no earlier than Sept. 28. Image: SpaceX

Orbital flight is at hand

Depending on when Starship Flight 14 takes place, it very well may be the next Starlink mission for SpaceX and has been given the additional designation of Starlink 31-1. The company recently ceased launches of its V2 mini broadband internet satellites from Florida, but continues to build and replenish its fleet with missions from Vandenberg Space Force Base in California.

SpaceX needs Starship in order to begin launching the larger and more capable Starlink V3 satellites.

During the most recent test flight in July, SpaceX deployed several Starlink V3 satellites along the same suborbital trajectory as the Ship 40 upper stage. Those satellites were able to deploy their solar arrays, capture imagery of the Starship’s heat shield, and briefly connect with the broader Starlink constellation using laser links before they met their planned demise.

On Starship Flight 14, SpaceX aims to deploy 26 Starlink V3 satellites into orbit a 171-mile (275 km) orbit, with an estimated orbital inclination of 30 degrees to the Equator.

“Each Starlink V3 satellite will add 1 Tbps of capacity to the constellation, for a total of 26 Tbps of capacity added on this mission alone. That’s ~10x the capacity compared to a single launch of V2 mini Starlink satellites on Falcon 9,” SpaceX said in a prelaunch mission writeup.

“After deploying from Starship, the Starlink V3 satellites will unfold their antennas and deploy their solar arrays and make initial contact with the ground and the rest of the Starlink constellation via radio frequency and laser links. The satellites will then begin raising their orbits with their onboard thrusters. Following their on-orbit checkouts, the satellites should begin serving customers as soon as a few weeks after launch.”

Markdown in /src

TLDR

  • Markdown is becoming source code, not documentation
  • That Markdown should be checked in to /src, next to the code it produces
  • Code and tests should be derived from that Markdown, rather than from ephemeral prompts (or at least prompt sessions should eventually turn into persisted Markdown)

Intro

In order to supplement my income as a professor at Montana State University, I do consulting on the side. I enjoy consulting and the act of writing code & helping build systems, both for their own sake and also because it keeps my skills relevant and allows me to teach students about the latest ideas in software development.

Obviously the biggest thing to happen in development in the last few years is agentic coding: using LLMs to generate code in lieu of hand coding. I have written a few essays on this topic:

In this essay I want to discuss an idea that is becoming increasingly clear to me as I work in companies that are prioritizing agentic coding:

Markdown is now source code, not documentation.

This is not a novel or particularly clever idea, of course.

In Markdown is the new source code, Hartley Brody writes:

It is starting to feel as if the application logic of the software is being defined and edited as markdown, and the actual code that is generated by the agent is sort of becoming a low-level implementation detail.

Now, as the essays above show, I am ambivalent about AI-generated code. However, my consulting work shows that organizations are headed in this direction, often at terrific speed.

What I want to do in the remainder of this essay is think about the ramifications of Markdown becoming, more and more, the source of truth for software systems.

The Missing Source Code

There is a line of thinking, captured in the quote above, that LLMs are akin to compilers, taking high-level specifications and turning them into low-level implementations. In this view, we don’t need to look at the code an LLM generates, just as we don’t look at the machine code a compiler generates.

As I mention in Code is Cheap(er), I do not totally agree with this analogy for a few reasons, but the one relevant to this essay is: compiler workflows retain their original source code while LLM workflows typically do not.

Today, LLM-generated code is often created via a string of prompts fed into an agent as a developer builds out a feature. In practice, this means that the generated code is the closest thing we have to “ground truth� for that feature. There may be documentation for the feature stored elsewhere (e.g. Linear, Slack threads, wikis, etc.) but, so far as the codebase is concerned, the generated code is the source of truth.

My opinion is that, in professional agentic coding environments, we need to accept that LLM-generated code that emerges from ephemeral prompting sessions is not ideal, and begin moving towards capturing and checking in Markdown alongside generated code in the source directory.

Markdown As Source

Markdown has many nice properties that make it similar to traditional source code:

  • It is plain text and therefore diffable, greppable and reviewable in pull requests
  • LLMs read and write it natively
  • Humans can read and edit it without tools

And, in fact, it is already acting as source, to an extent, in AGENTS.md, specs, plans, TASK.md and so forth. We just haven’t standardized capturing that source yet.

In Markdown is the new source code, Brody says he keeps his Markdown files in .scratch/research/ and .scratch/plan/ as he works. I have adopted the convention of creating a /tmp directory for similar ephemeral needs.

My proposal is that we promote some of these files to a new directory, alongside our existing source code: /src/md

The Markdown captured in this proposed directory would be lower level than traditional design documents:

  • It contains architectural decisions
  • It contains source-level decisions
  • It contains low-level data design decisions

It is much closer to a specification (although it is not one) than a design document as traditionally managed by a project manager or designer.

Locality

I am a fan of locality, and I think that moving Markdown into /src has strong locality advantages:

  • Code modules would now include the Markdown that explains the intent of the code
  • There is no spooky “specification at a distanceâ€�, where the logic of why is elsewhere in a wiki/Notion/Confluence/Jira
  • Markdown in /src can be consumed by both humans and agents
  • Agents no longer need to look elsewhere to get context on a given codebase

What About Linear/Wikis/etc.?

Other sources of truth for the behavior of the system can still exist. These sources would provide higher-level and/or “process-oriented� documentation: high-level design documents, issues that need a resolution workflow and so forth.

But the core, current and static intended behavior of the system would increasingly be captured directly in Markdown in the source directory.

What About Tests?

I have seen many people online saying that tests are the new specification (or always were). I think there is some truth to that.

However, tests are not a good mechanism for human/agent interaction:

  • They involve a lot of ceremony, often obscuring what they are testing
  • They are typically lower level than most humans want to deal with, particularly when understanding a system
  • Higher-level explanations such as Mermaid diagrams don’t fit naturally into them

I think the following division of labor makes sense:

  • Markdown sits in /src and is the specification(ish)
  • Tests sit in /test (or wherever) and are based on that Markdown, providing automated confirmation of correctness

Again, the core idea here is that, rather than generating code and tests from prompts, a developer would work on Markdown in the /src directory, from which the code and tests would be derived.

What /src/md Markdown Looks Like

The Markdown in /src/md sits between a formal specification for the system and high-level design documents.

As with source code, there is a Complexity Budget associated with this Markdown. It will require thoughtful management to keep these documents clean, well-factored and at the right level of abstraction.

Developers should be expected to interact with both the Markdown and the derived code, so synchronizing the two (when appropriate) will become an important skill.

For example, developers will often do subtractive, constraining work on generated code, and those changes may need to be moved back into the Markdown.

I believe that agents should not be used to generate much content in /src/md. This directory should be mainly human authored and curated.

A Proposed /src/md Convention

This is necessarily the weakest part of this essay because this is a new idea and I haven’t used it extensively yet. It is me thinking out loud and inviting discussion.

With that said, here is a possible /src/md standard:

src/
  md/
    README.md          # index of all md, entry point for agents
    TODO.md            # a list of general TODOs open for this module
    OVERVIEW.md        # a technical overview of this module
    features/FEATURE_1.md       # a set of feature-specific documents
    data/DATAMODEL_1.md         # descriptions of data models in the module
    api/API_1.md                # descriptions of APIs the module provides
    infrastructure/INFRASTRUCTURE_1.md   # descriptions of infrastructure used by the module

Here the features, data, api and infrastructure directories are all optional; the idea is to divide along different axes to best capture a solid working description of the module’s behavior directly in the /src/md folder.

Conclusion

As code gets cheaper to generate, what remains valuable is the intent behind the code: what it does, why it does it, and what it must not do.

Today that intent is often lost in ephemeral prompting sessions, or scattered across wikis, tickets and Slack threads.

I think that, in the name of locality, we should consider capturing this intent in Markdown and checking it in to /src, alongside the code it produces, where both humans and agents can find it.

I don’t know exactly what the right structure for something like /src/md is yet, and I expect my thinking will change as I (and others) get more experience with it.

But I am fairly confident that Markdown is becoming source code, and that we should increasingly treat it like source code.

(Even though, no, LLMs are not compilers :)

September 20, 2026

Thousands of people gathered outside the John F. Kennedy Center for the Performing Arts Friday evening to protest Trump’s takeover of the building and his threat to shut it down or even demolish it unless his name goes onto the facade. U.S. District Judge Christopher Cooper of the District of Columbia has ordered the board of the center to give 30 days’ notice before making any major physical changes to the building.

Recognizing the leeway the courts have given him over anything that falls under “national security,” Trump this morning decided to take a proactive approach to making sure the courts don’t stop his triumphal arch. He announced on social media:

“At the strong request of the United States Military, and for National Security purposes, I have agreed to convert the magnificent Triumphal Arch, planned since the Civil War Era many years ago, at the Receptive Circle adjoining the Arlington Memorial Bridge, into a top grade Military Complex/Triumphal Arch, to house, store, and have the rapid ability to use large numbers of drones, plus Snipers, on both the roof and plaza areas, and additionally have and hold large quantities of sniper ammunition in storage. There will be no facility like this anywhere in the World. Out of the 59 top cities and Capitals, Washington, D.C., IS THE ONLY ONE IN THE WORLD THAT DOES NOT HAVE A TRIUMPHAL ARCH, but it will now and, by far, the greatest of them all!”

This is the same justification he made for his ballroom where the East Wing used to be. When it became clear that his claim to need an entertainment space up to his aesthetic standards would not fly, he began to claim that the ballroom is imperative for national security. We have since learned that there already is a secure space under the White House, built in secret during President Barack Obama’s administration.

Dan Diamond reported in the Washington Post last Wednesday, September 16, that officials from the National Park Service have agreed that the construction will adversely affect Arlington National Cemetery, the Lincoln Memorial, and several dozen other historical sites, but urged those concerned about historic preservation to sign on to the project through a memorandum of agreement that will stand as approval by noon tomorrow anyway.

The document asserts that the arch is supposed “to celebrate 250 years of American independence by honoring America’s founding principles.” Now Trump says the arch is imperative for “National Security purposes” and will have drones and snipers.

Rebecca Miller, executive director of the DC Preservation League, responded to the request to sign the document: “This is not consistent with NPS practice, NPS regulations, or the intent of the National Historic Preservation Act.”

While Trump suggests he will defend the United States from atop his triumphal arch, our European allies are much more concerned with Russia’s drone strike last Sunday on a passenger train traveling from Kyiv, Ukraine, to Warsaw, Poland. The train was just over a mile—two kilometers—from the Polish border when the drone hit at a border crossing. The drone hit just after a convoy carrying former leaders and high-level diplomats, including former U.K. prime minister Boris Johnson, had passed through.

The train operators were warned of the coming drone and no one was hurt, but European leaders widely interpreted the strike so close to Poland as, in the words of Kaja Kallas, the European Union’s high representative for foreign and security policy, “clearly a message to the western world.”

Poland is a member of the North Atlantic Treaty Organization (NATO). Twelve nations founded NATO in 1949 to resist Soviet aggression. After the Soviet Union collapsed in 1991, NATO’s mission shifted toward crisis management, and then to resisting the aggression of Russia’s president Vladimir Putin.

Over the years, NATO has grown to include 32 countries, 30 of which are in Europe (the U.S. and Canada are the two NATO countries in North America). The success of their collective defense system rests on Article 5 of the North Atlantic Treaty, which states that an attack against any one member of NATO will be treated as an attack against all of them. So a threat to Poland threatens all the NATO countries.

Russia has been pushing NATO countries with what European leaders call “hybrid attacks.” Rather than launching classic military attacks, Putin has been allowing drones to go into NATO airspace, cutting undersea telecommunications networks on which European countries depend, and possibly placing bombs on a train in France.

Russia has been a bad actor for years, destabilizing NATO countries by flooding them with disinformation that affects elections, paying for political parties, bribing politicians, and so on. But the increase in Russian provocations now seems to be related to Putin’s attempt to undercut European support for Ukraine as Ukraine’s drones have brought the war home to Russia’s oil industry and to the Russian people.

In a speech on Wednesday, NATO Secretary General Mark Rutte, former prime minister of the Netherlands, noted that “Russia wants to stop us helping Ukraine—but their actions will only lead us to do more for Ukraine.”

Kurt Volker, who served as U.S. ambassador to NATO under President George W. Bush, told NPR’s Elissa Nadworny that President Trump “has largely looked at all of this and said, that’s a European problem. He doesn’t feel a threat to the United States from Russia, and he doesn’t see a need for the U.S. to increase its pushback on Russia at all.” “I disagree with this,” Volker said. “I think that we have a vested interest in freedom and free people everywhere being safe and prosperous. It creates a better world for us.”

Trump’s stand is interesting in light of news that Russia has been helping Iran in its fight against the United States, sending upgraded munitions as well as satellite imagery and targeting data to hit U.S. forces in the Middle East.

Last week, CNN reported that fourteen Russian spy satellites moved over the Prince Sultan Air Base in Saudi Arabia, used by the U.S., two days before a devastating March 27 attack by Iran. A CNN investigation showed that the spacecraft had access to a large spectrum of data. U.S. officials and international intelligence sources told CNN that the information the satellites gathered helped Iranian forces conduct some of its most precise attacks against American forces and assets.

Two months later, a Russian close to Putin footed the bill for a three-day celebration for Donald Trump Jr.’s wedding to Bettina Anderson. According to Justin Elliott, Brett Murphy, Joshua Kaplan, and Alex Mierjeski of ProPublica, Umar Kremlev spent hundreds of thousands of dollars on the event, held on private islands in the Bahamas.

On Tuesday, September 15, the Department of Justice announced charges against five people working for Russian intelligence “to conduct attacks and murders around the world, including in the United States.” The indictment alleges that a network of Russian hit men has operated since at least 2024 and has recruited U.S. citizens to surveil and murder people, intending to target “all the countries that are helping Ukraine.” As Daniel Boffey and Andrew Roth of the Guardian note, it was an unwritten rule of the Cold War that Russia would not attack people in the U.S. (although Russian agents are widely believed to be behind the murder of U.S. journalist Paul Klebnikov in Moscow in 2004).

On September 16, Congress passed a major sanctions package targeting Russian officials, the energy sector, financial institutions, and the “shadow fleet” of tankers that get around sanctions by using shell corporations and flying under the flags of countries with a loose regulatory system. The measure is named the Lindsey O. Graham Sanctioning Russia and Iran Act of 2026, in honor of the late South Carolina senator.

But on Thursday, September 17, Anton Troianovski of the New York Times reported that Trump is suggesting Putin will be more willing to end his war if the U.S. makes business deals with Russia regardless of whether it stops its assault on Ukraine. In February, Troianovski reported that Gentry Beach, a Texas investor with ties to the Trumps, signed an agreement last fall with one of the biggest energy companies in Russia to develop Alaska’s natural gas resources.

According to a September 14 piece by Dexter Filkins in the New Yorker, the Trump administration has essentially privatized U.S. foreign policy for their own interests. The “generally held view,” a former U.S. official told Filkins, is that Russia has offered administration officials and their allies business deals in exchange for their supporting Russian demands against Ukraine. A classified report a European intelligence agency provided to Filkins lists Trump, his son-in-law Jared Kushner, special envoy Steve Witkoff, former envoy Richard Grenell, and Gentry Beach as people who might participate in any of ten money-making ventures on the table.

The world, and the place of the United States in it, is changing fast. In June, Defense Secretary Pete Hegseth called it “shameful” that European allies did not help the U.S. attack on Iran and said the U.S. would review its military commitments to Europe. On September 17, Dan De Luce, Gordon Lubold, Courtney Kube, and Abigail Williams of NBC News reported that the Pentagon is weighing a plan to pull tens of thousands of troops and weapons, ships, and planes out of Europe despite the warnings of NATO allies about Russia’s increasingly aggressive moves.

In Wednesday’s speech, Rutte outlined what he called NATO 3.0. If NATO 1.0 was the phase of the organization that pushed back against the Soviet Union and NATO 2.0 was the period from then until now, he said, NATO 3.0 is one in which the weight of NATO shifts away from the United States and toward the United Kingdom, Europe, and Canada.

Notes:

https://www.pbs.org/newshour/politics/thousands-join-protest-outside-kennedy-center-expressing-concern-that-trump-might-tear-it-down

https://www.pbs.org/newshour/arts/judge-orders-kennedy-center-to-provide-30-days-notice-before-making-any-major-physical-changes

https://www.washingtonpost.com/politics/2026/09/16/trump-officials-say-planned-arch-will-harm-historic-sites-must-go/

https://www.washingtonpost.com/documents/b432bfa4-ff64-4fed-8543-337490a98a5a.pdf

https://www.nato.int/en/news-and-events/events/transcripts/2026/09/16/annual-lecture-by-the-nato-secretary-general

https://www.militarytimes.com/news/your-military/2026/09/15/russia-and-iran-deepen-weapons-partnership-amid-wars-in-ukraine-middle-east/

https://www.washingtonpost.com/national-security/2026/03/06/russia-iran-intelligence-us-targets/

https://edition.cnn.com/2026/09/16/world/video/russia-spy-satellites-iran-intelligence-strikes-us-assets-digvid-invs

https://www.npr.org/2026/09/19/nx-s1-5974199/worries-swirl-that-russia-is-planning-to-test-nato-with-direct-attacks

https://www.propublica.org/article/donald-trump-jr-wedding-bankrolled-russian-oligarch-umar-kremlev-putin

https://www.nytimes.com/2026/09/17/us/trump-putin-russia-sanctions.html

https://www.nytimes.com/2026/02/19/us/politics/trump-russia-deals-novatek.html

https://www.nbcnews.com/politics/national-security/pentagon-weighs-pulling-nearly-third-us-forces-europe-rcna597722

https://www.thetimes.com/us/news-today/article/us-troops-europe-nato-3tpm5hqw2

https://www.newyorker.com/magazine/2026/09/21/jared-kushners-dollar-diplomacy

https://www.justice.gov/opa/pr/members-russian-intelligence-services-network-charged-conspiring-finance-terrorism-and

https://www.theguardian.com/world/2026/sep/20/the-rules-have-changed-has-russia-begun-to-order-assassinations-on-us-soil

https://www.rferl.org/a/us-congress-sweeping-russia-iran-sanctions-bill/33857946.html

https://www.theguardian.com/world/2026/sep/14/ukraine-kallas-not-scared-russian-strike-train

Trump’s Truth:

statuses/41811

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The Tragedy of Nikole Hannah-Jones

Nikole Hannah-Jones famously sent her child to a predominantly black/lower-income public school in New York City. Now her child says she shouldn’t have been used as political fodder.

The essay makes for hard reading and I acknowledge NHJ’s courage in writing about her mistakes and the cost to her child. The piece is raw and true when talking about her personal choices, but the larger story in which NHJ embeds her personal history is mostly false. The problem isn’t funding. The failures she documents are failures of management and accountability, not lack of resources. NYC spends upwards of $40k per pupil on average, the highest of any large district in the country. Moreover, schools in NYC with lower-income students get more than the average. PS 307, where NHJ initially sent her child, is currently funded at just over 52k per student, far above the national average.

Nationally, there haven’t been big gaps in funding within states by race or income for decades. NHJ has reckoned with her failing her own child but she has not yet reckoned with the failure of her entire educational philosophy.

The role of ideology in blinding NHJ is dramatic. NHJ’s daughter earns high grades in her math classes but she fails standardized tests. Most parents, especially conservatives, know what that means. The classes are a lie. But NHJ is blinded by ideology and assumes it’s the standardized tests that are biased. It’s only when her daughter demands to go to a better school that she and her daughter confront the truth:

Najya knew very little algebra and had huge gaps in many of the building blocks of math that she should have learned in elementary school, like mastery of long division and fractions.

The confrontation is almost disastrous:

My child’s confidence wilted like an unwatered plant. She started to develop an almost debilitating anxiety around taking tests. She became sullen at school and began to act out. For the first time ever, I got messages from teachers about Najya’s behavior.

Fortunately, Najya battles back and recovers but much more could be said here about the costs of social promotion, DEI and mismatch on the so-called beneficiaries.

Ironically, NHJ invokes the heroic history of Black Americans integrating schools to justify keeping her own child in a segregated one. Painful.

NHJ thought that she and her husband–politically connected, astute people who were not afraid to speak up–could do well for their daughter and the other kids in the school. But in the end she has written a great piece on why voice fails–even a powerful voice–in the absence of the threat of exit. Hannah-Jones could have saved herself some grief and her child a poor education by reading my post The tragedy of Jonathan Kozol.

It’s been said that Ayn Rand’s heroes don’t exist, but her villains do. Case in point. Hannah-Jones says that she and her husband “felt an obligation to make educational decisions based on the collective good.” But she wasn’t just sacrificing herself for her ideology; she was sacrificing her child, who had no choice in the matter. “I don’t think she’s deserving of more than other kids,” she said in 2017. Nearly a decade later, Najya reminded her that in the abstract your child may not deserve more than other children, but she is nevertheless entitled to expect more from you. “Sometimes I wish instead of always thinking about other kids, you would have thought about me.” You don’t have to be a Randian to think that your child should not be sacrificed to the collective good, but it doesn’t hurt.

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w/e 2026-09-20

Back over to Essex this weekend.

We had a holiday flat in Walton-on-the-Naze which we used to spend a lot of time at. Around the time we were moving to the opposite side of the country some friends and neighbours there were looking to downsize and rent. So they’ve been our lovely tenants up until now when they’ve moved away.

So we drove over (well, Mary did the driving as usual) on Friday to check the place was fine. It was. hmu if you want a nice two-bed flat with a sea view in a well-maintained block!

On Sunday we drove back (ditto) via the old family home to pick up a lot of stuff. I now have around ten boxes full of a wide variety of things to find new homes for. Items that are too interesting or (not very) valuable to throw away or leave for a house clearance, but that none of us want or need to keep. It’ll take a while.

A photo of two large teddy bears. The one on the left is old and jointed and is wearing a blue top with BRIAN BEAR written on it. The one on the right has a smile and is wearing a camouflage hat and some tinsel.
Brian, left, came home with us and is definitely staying.

§ Interactive Investor are still unable to show the correct price of that “null” fund. Amazing.


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Sound guardians

Photo of a man with closed eyes wearing headphones, appearing focused, against a blurred green background.

As Indonesia builds a new capital city, the race is on to preserve the sounds of the rainforest before they vanish forever

- by Aeon Video

Watch on Aeon

He was probably right

Classical marble busts in a museum setting with focus on a detailed male figure in the background.

Cicero’s life and thought are a testament to the idea of probabilia: we should be confident in our beliefs, but never certain

- by Massimo Pigliucci

Read on Aeon

A wheel fit for a giant

In a cleanroom at the Max Planck Institute for Extraterrestrial Physics (MPE) in Garching, Germany, two engineers look up at the heart of MICADO. One of the first instruments that will operate on ESO's Extremely Large Telescope (ELT) in Chile’s Atacama Desert, MICADO will observe the Universe in the infrared, and each slot in this giant rotating wheel carries a different filter that lets light through at different colours or wavelengths.

This so-called Centre Wheel Mechanism was built by the Netherlands Research School of Astronomy (NOVA), part of the MICADO consortium, led by MPE. What makes this photograph so astounding is the sheer scale of the device compared to the engineers working on it, Jeongha Lee and Federico Biondi. In today’s telescopes, a filter wheel is typically a few tens of centimetres across. This mechanism measures about 1.5 metres — an extremely large telescope, it turns out, also demands extremely large instruments.

Size is only part of the challenge. Since MICADO observes at infrared wavelengths, the mechanism has to work at cryogenic temperatures to prevent its thermal glow from contaminating the observations. But materials behave differently at very low temperatures, which complicates the accurate positioning of the optical elements in this wheel. Some of them, like special masks that will be used to observe planets around other stars, need to be placed with an accuracy of just a few microns, which is less than the width of a human hair.

Once in place in Chile, MICADO will image the Universe with a sensitivity comparable to the NASA/ESA/CSA James Webb Space Telescope, but six times sharper. It will pick out individual stars in distant galaxies, characterise planets outside the Solar System, and track the stars orbiting the supermassive black hole at the centre of the Milky Way. For now, though, it is taking shape in Garching, a few hundred metres from ESO’s Headquarters, a whole hemisphere away from the mountain where it will eventually get to work.

Obama on agentic AI

Obama recently said:

“If we are thinking about AI just in terms of how do we cure cancer or get better energy, you can do that without having agentic AI and having it just roaming free in the internet.”

As Roon noted: “this sounds completely incoherent to me”

From Rob Saker:

An agent is a system that can plan, use tools, write code, query data, run experiments, check its own work, and keep going. That is how the work gets done. Treating “agentic” as optional decoration, as if the serious version of AI is a polite chatbot locked in a box while the unserious version “roams free on the internet”, is the kind of sentence you write when you’ve heard the buzzwords and never watched a lab actually use the technology. You do not cure cancer with a model that only answers questions. You cure cancer with systems that can read the literature, propose hypotheses, design assays, analyze results, rewrite the next experiment, and do that loop a thousand times faster than a human postdoc. That loop is agentic. Strip the agency out and you are left with a very expensive autocomplete.

I agree with those points, but my main concern is different.  How would we enforce such a prohibition on commercial agents?  Set up a Chinese-like firewall that bans Americans from accessing sites with foreign agents?  Monitor all those sites over time, so we know which suppliers to ban?  Ban VPN as well?  Give our government the power to inspect hard drives, in case agentic functions might be embedded there?  Set up FBI “phishes,” luring Americans in with the prospect of agent access from abroad, and then arresting them, as we do with child ****?

Something else?  How about insisting that all American (and foreign?) web sites set up tough captcha problems, so that agents may not be used (ha ha)?

You might also ask how an AI “agent” is to be defined, after all even O3 had some “agentic” abilities, such as opening up museum web sites to see which exhibits are on.  Is it typing things into boxes and filling out forms that is to be prohibited?  How much regulation of software would that require, how would that regulation actually occur, and what else would end up being restricted?

I do not think Obama intends to be supporting massive restrictions on freedom of speech and civil liberties.  Rather this is a good example of how some political factions will simply have “ideas about what might be good,” without having freedom concerns — or for that matter practicality and civil liberties concerns — center of mind in the first place.

And this would cause the immediate bankruptcy of both Anthropic and OpenAI, right?

I can readily imagine that, upon the advent of agentic AI, we need some significant changes in our cyber laws.  Now would be a good time to both commission and also cite some peer-reviewed academic literature on this matter!?  That is not an impossible thing to do, yet our public discourse seems oddly resistant to the notion.

Addendum: And do not forget the classic Gwern piece, remarkably early in its prescience.

The post Obama on agentic AI appeared first on Marginal REVOLUTION.

       

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Arctic Melt Season Length Levels Off

2000-2009
2010-2023
Two Arctic maps compare changes in melt season length by decade. Red indicates areas where the season grew longer; blue, where it grew shorter. The 2000–2009 map is mostly dark red. The 2010–2023 map shows a mix of lighter red and blue, indicating smaller changes.
NASA Earth Observatory/Michala Garrison
Two Arctic maps compare changes in melt season length by decade. Red indicates areas where the season grew longer; blue, where it grew shorter. The 2000–2009 map is mostly dark red. The 2010–2023 map shows a mix of lighter red and blue, indicating smaller changes.
NASA Earth Observatory/Michala Garrison
Two Arctic maps compare changes in melt season length by decade. Red indicates areas where the season grew longer; blue, where it grew shorter. The 2000–2009 map is mostly dark red. The 2010–2023 map shows a mix of lighter red and blue, indicating smaller changes.
NASA Earth Observatory/Michala Garrison
Two Arctic maps compare changes in melt season length by decade. Red indicates areas where the season grew longer; blue, where it grew shorter. The 2000–2009 map is mostly dark red. The 2010–2023 map shows a mix of lighter red and blue, indicating smaller changes.
NASA Earth Observatory/Michala Garrison
2000-2009
2010-2023
Since the start of the satellite record, the Arctic sea ice melt season has lengthened in most decades, particularly in the 2000s (left). Since 2010 (right), the melt season appears to have stabilized. NASA Earth Observatory images by Michala Garrison based on data from Boisvert, L., et al.

For decades, Arctic sea ice has been melting earlier in spring and freezing later in fall, extending the melt season and contributing to widespread ice loss. A new NASA-led study has found that while the Arctic melt season has lengthened dramatically since satellite records began, that trend unexpectedly stabilized around 2010.

The Arctic sea ice melt season is now about 40 days longer than it was in 1979, according to the study. Most of the increase occurred before 2010. Since then, the average melt season length has remained relatively unchanged, despite large year-to-year fluctuations.

Researchers analyzed satellite observations between 1979 and 2023 to track when sea ice begins to melt each spring and refreezes each autumn. They found that the change was driven primarily by sea ice freezing later in the year rather than melting earlier in the spring.

“Previously, there was more of this multiyear ice that didn’t melt away each summer,” said Linette Boisvert, a co-author on the study and ice scientist at NASA’s Goddard Space Flight Center. “Now that the ice is thinner and there’s less of it, there’s a lot more variability.” On average, though, the decline in sea ice thickness and extent that occurred during the 2000s appears to have stopped for the time being.

To understand why, the team examined changes in the Arctic’s energy balance—the net difference between incoming heat from the Sun, atmosphere, and ocean and the outgoing infrared radiation emitted back to space.

During the period of rapid ice loss in the 2000s, reduced ice cover exposed darker ocean water, which absorbed more sunlight. The additional solar energy delayed freezing and helped extend the melt season. In the left map above, the reddest areas mark where the melt season grew fastest that decade, by up to 5 days per year. Much of the Arctic ice today is younger and thinner than the multiyear ice that was once more widespread in the Arctic Ocean, leaving it more vulnerable to variations in cloud cover, storms, and winds.

Since 2010, changing cloud patterns have reduced the amount of sunlight reaching parts of the Arctic Ocean. The result has been a melt season that fluctuates from one year to the next but remains relatively stable over longer periods. The right map above reflects this shift, with the lighter blues and reds showing the more modest rates of change during that decade.  

These findings don’t suggest that shifts in Earth’s climate have stopped affecting the Arctic. The region continues to warm nearly four times faster than the global average, and the remaining sea ice is substantially thinner than it was several decades ago. Instead, the study suggests that the Arctic may have entered a new phase, in which annual weather patterns exert a stronger influence on melt season than they once did.

“Melt season length is much more dependent on atmospheric effects,” Boisvert said. “They seem to be playing a bigger role because the ice is generally thinner and more vulnerable to begin with.”

The researchers caution that the apparent stabilization may prove temporary. Thick Arctic ice still exists throughout the year to the north of Greenland and the Canadian Arctic Archipelago. Continued thinning of ice in those regions could trigger another period of rapid sea ice loss, with the potential to further extend the melt season.

For now, the study highlights the importance of continued satellite observations of Arctic sea ice and the energy balance that controls its growth and melting. Whether the recent stabilization represents a lasting change in the melt season or a pause before another period of rapid change remains an open question.

NASA Earth Observatory images by Michala Garrison, using data from Boisvert, L., et al. (2026). Story by James Riordon/NASA’s Earth Science News Team.

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Xcode 27.2 Now Supports a New JSON Project File Format

Apple Developer:

Xcode now supports a JSON-based project format (.xcproj) that’s more readable, merge-friendly, and easier for coding agents to edit. Enable it in the file inspector. Projects using .xcproj also open in earlier versions of Xcode 27.

Apple released, on GitHub, a Swift library (and CLI tool) for reading, writing, and manipulating this new project format. Michael Tsai has a list of developer reactions, where are universally positive. A sampling:

Simon B. Støvring:

Developers have been screaming for a friendlier Xcode project format for years. I’m one of them.

Tony Arnold:

I’ve been waiting for something like this for most of my career! 🎉

Rob Napier:

It does feel like another case of “we’ve quickly done a thing to help AI that we’ve been unwilling to do for years to help humans.” I’m seeing that happen across the industry.

It is very welcome and appreciated, and lots of thanks to the teams involved. It’s also frustrating that it took “it can help AI” to make it happen.

The old .pbxproj project format was not XML; it was an old NeXT-style “ASCII” property list — a file format that is surprisingly JSON-like considering that it predates not only JSON, but JavaScript (JSON = JavaScript Object Notation). The problem developers have long had with the old .pbxproj project file isn’t about the old plist format, but instead the way the object graph was represented in it. Everything was represented by opaque ID values; one small change in Xcode often resulted in multiple changes on different lines in the .pbxproj file. While technically that format is a human-readable (and thus LLM-readable) text file, it effectively needed to be treated as a binary file.

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