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There are no “rogue” AI agents
Eoin Higgins argues that talk of “rogue” AI agents anthropomorphizes systems that don't think or act independently—and that clearer language is needed before the public debate can stay grounded.
4 min · 968 words
Robert O'Callahan resigns from Google over AI acceleration: chip-design tools that make models cheaper and faster, why the pace of change is too high, and what he plans next with Pernosco and rr.
6 min · 1,398 words
China’s AI-safety trajectory is not necessarily a delayed version of America’s
Cheryl Wu argues that AI safety in China may follow a different path from the U.S.—shaped by different incidents, disclosure norms, and government responses—not merely a delayed copy of American debates.
6 min · 1,411 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
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
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
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
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