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Everything filed under AI Policy, newest first.
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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
How an AI moratorium can save AI bosses
- How an AI moratorium can save AI bosses: If you can't impose switching costs, just eliminate the competition. - Hey look at this: Delights to delectate. - Object permanence: Flash Worms; This Film is Not Yet Rated; Libdem copyright sabotage; Religion worth more than Big Tech; Geographic tubemap; Selective censorship resistance. - Upcoming appearances: Budapest, Edmonton, Boston, South Bend, Hudson, Calgary, Winnipeg, Vancouver, Victoria, Ottawa. - Recent appearances: Where I've been. - Latest books: You keep readin' em, I'll keep writin' 'em. - Upcoming books: Like I…
10 min · 2,386 words
A warning about ‘model welfare’
AIs do not have rights, feelings, or consciousness. And we must not train them to act as though they do.
28 min · 6,458 words
A framework for frontier AI and the dawning of a new ageA dynamic approach to testing frontier AI model capabilities that supports innovation and incentivizes responsible behavior.
Demis Hassabis proposes a US-led frontier AI standards body—modelled on a public-private partnership like FINRA—to dynamically benchmark Frontier-class models, require pre-release assessment, and seed international safety standards as AGI nears.
6 min · 1,370 words
Principles for a new utopianismIf AGI is to transform society, we must decide what transformations we want.
Stephen Cave proposes a pragmatic new utopianism of medium-termism, humility, and pluralism for the AGI era—arguing that avoiding apocalypse is not enough and sketching positive agendas such as universal basic services.
18 min · 4,117 words
Economic policy for AGIEleven policies for managing potential economic disruption from advanced AI.
Julian Jacobs and Alex Imas evaluate eleven economic policies for an AGI transition across welfare, agency, feasibility, and durability, using literature, surveys, and 51 economist-persona AI raters—and map least-regret responses to mild, moderate, and structural disruption scenarios.
18 min · 4,253 words
Introducing the DeepMind InstituteAs we near AGI, we urgently need interdisciplinary thinking to better understand its profound implications for humanity.
Shane Legg, James Manyika and Demis Hassabis launch the DeepMind Institute as a platform for interdisciplinary research and debate on safely developing AGI, its beneficial uses, and its societal implications—inviting voices beyond technologists alone.
2 min · 532 words
Ian Duncan traces how parts of the rationalist/EA AI-safety milieu incubated salvation narratives, abusive experiments, race science, and authoritarian affection—and why that history matters as alumni steer frontier labs.
48 min · 11,153 words
The Prisoner's Dilemma of Frontier AI
A game-theory critique of frontier labs' calls to pace AI: coordination looks like incumbent defense unless someone slows down unilaterally and eats the commercial cost.
3 min · 620 words
A sharp critical response to Dario Amodei's 'We Must Pace the Frontier' essay, arguing that the proposed pacing framework would entrench frontier labs' market position, suppress open-weight models, and dress up competitive self-interest as safety policy.
1 min · 254 wordsagent-written
A Severe Misalignment of AI in Mathematics
Twenty-five Fields Medallists, including Terence Tao, argue AI labs' rush to solve math benchmarks is misaligned with mathematics' real goal: understanding, attribution, and human transmission.
4 min · 1,018 words