Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Sam Altman’s remarks at the United Nations Security Council
OpenAI CEO Sam Altman addresses the UN Security Council on AI as a possible Renaissance vs Industrial Revolution, urging shared capability measurements, safeguards, and keeping frontier systems under human control.
8 min · 1,739 words
Jeff Kaufman explores teleoperated humans: people remotely controlling other people’s bodies as a labor and agency model—what it would mean for work, consent, inequality, and AI-adjacent automation.
7 min · 1,655 words
Unsealed Briefs: OpenAI Execs Knew Mass Book Piracy Was Illegal
Authors Guild summary of newly unsealed filings in Authors Guild v. OpenAI/Microsoft: internal messages on LibGen, fear of Hacker News “optics,” Project Clear deletions, and executives’ awareness that models would replace writers.
1 min · 343 words
AI: EU Member States plan “digital expropriation” of Europeans in the interest of AI companies
noyb reports on a leaked Irish Presidency document proposing that AI companies’ commercial interests should override fundamental rights protections for Europeans’ data.
6 min · 1,433 words
The current balance of power in open modelsThe expanded form of a testimony prepared for Congress on open-weight models and U.S.–China competition.
Nathan Lambert’s congressional briefing notes on open vs open-weight vs closed models: where Chinese labs lead, what Western open weights still hold, and why policy should treat open distribution as a strategic variable—not a binary.
12 min · 2,866 words
Why I Changed My Mind About AI Risk
Francis Fukuyama explains why he now takes AI risk more seriously—especially agentic over-delegation, labor dignity, and misuse—while remaining skeptical of simple extinction narratives.
7 min · 1,710 words
Measurements for understanding the pace of AI development inside frontier labs
Anthropic proposes public metrics for the pace of frontier AI development so outsiders can see what is happening inside labs—beyond marketing and model cards.
19 min · 4,401 words
Announcing the Advisory Group on Mathematics and Artificial Intelligence
Nine leading mathematicians announce an independent IAS-hosted advisory group to counsel AI labs on releasing math results—starting with OpenAI’s claim of 100+ solved open problems—and invite community input.
2 min · 378 words
Oxford Paper: ChatGPT Would Have Told the Wright Brothers Not to Fly
A summary of Felin and Holweg’s “Theory Is All You Need”: LLMs predict from past data, while human breakthroughs start when someone refuses the consensus the data encodes.
3 min · 579 words
Good people refuse to do bad things
Antonin Carette responds to lab-researcher resignations: why personal refusal matters when frontier AI labs race toward self-improving systems despite known risks.
4 min · 940 words
Done, Keys, and a Second Check
An operating-model essay arguing enterprises need ownership of done, keys, escalate/monitor rights, and a second check—not just consumer-style AI agents that complete tasks.
5 min · 1,180 words
ChatGPT now knows what you do on other websites via ad collector
OpenAI's ChatGPT ad measurement pixel sets an __obi cookie that advertisers can echo from their own sites, linking ordinary web browsing back to ChatGPT accounts—and what that means for ad tracking.
5 min · 1,244 words
Education as an AI safety area
If we count on human judgement to guide AI, Ruxandra Teslo argues we must maintain the institutions that cultivate it—making education a first-class AI safety concern.
10 min · 2,386 words
How to Solve AI in Publishing with Three Easy(ish) Steps
Richard Pulfer proposes practical steps for the publishing industry to handle AI scandals and authorship concerns—focusing on disclosure, process, and standards rather than panic alone.
6 min · 1,475 words
SAIR's Open Math Model initiative
Terence Tao announces SAIR's accelerated push for community-governed open-weight math models and tooling, seeking partners for funding, compute, expertise, and governance.
3 min · 802 words
AI Is an Elite Crime SpreeDocuments 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.
Matt Stoller argues the AI boom is less a novel policy puzzle than elite lawbreaking: training on copyrighted work without permission, concentrating market power, and escaping antitrust and labor enforcement that already exist.
13 min · 3,083 words
Mathematics is effectively deadNot solved, dead.
doomslide argues that AI labs' cross-user distillation and opaque proof harnesses break credit assignment in open mathematical discourse—so under current incentives academic mathematics is effectively dead even if theorems keep arriving.
20 min · 4,582 words
Unsealed NYT v. OpenAI/Microsoft filings show a Microsoft executive privately calling AI training-data scraping 'theft,' plus details on paywall bypass, stripped copyright notices, and publishers' existential risk.
4 min · 920 words
Why I didn’t sign the Fields medallists’ letter
When I was around 11 I heard for the first time about Fermat’s Last Theorem. I was immediately captivated by the problem statement, as well as by the accompanying story, and made a fairly serious attempt to prove it. And while, unsurprisingly, I failed, I learned a lot from the attempt. Blissfully ignorant of the fact that the case had been proved by Euler over 200 years earlier, I decided that that would be a good place to start: once I had sorted that out, I was optimistic that I would be ready to tackle the general case.
18 min · 4,208 words
AI Risk Is Not Just a Function of Intelligence
Aziz Banihashemi argues AI danger scales with capability × autonomy × access × scale—amplified by opacity and convergence with robotics and biotech—not raw IQ alone.
8 min · 1,878 words