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Responsible Release of AI-Generated Mathematics
The Advisory Group on Mathematics and AI (Sep 29, 2026) recommends how frontier labs should release AI-generated math results: deposit promptly, cite related work, formalize where possible, disclose prompts and costs, and fund community-led human understanding.
2 min · 559 words
Towards safety cases for frontier AI training
OpenAI argues frontier RL runs should require structured safety documentation approaching “safety cases”: technical safeguards, operational practices, and incident investigation before continuing training.
7 min · 1,571 words
How Pew Research Center is – and is not – using AI in our work
Pew Research Center outlines internal AI guidelines: surveys stay human-answered, disclosure rules for production use, and careful experimentation while keeping research people-centered.
2 min · 542 words
It’s Time to Investigate the AI Labs
Cal Newport argues frontier AI labs have grown brazen in public messaging about agent harms and extinction risk, and that Congress should investigate rather than let private companies set the narrative.
2 min · 564 words
SB 923 is Law: CCPA deletion rights now reach third-party data
California’s SB 923 expands CCPA deletion to data bought or appended from third parties and requires an online deletion form—what businesses need to change by January 1.
3 min · 620 words
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
DraftKings Is Using AI to Supercharge the Harms of Online Behavioral Advertising
EFF argues DraftKings' use of betting data and ML to re-engage losing gamblers shows why all online behavioral advertising—not just third-party data sharing—should be banned.
3 min · 609 words
Secure Acceleration: A Cyberdefense Strategy for Superintelligence
Enclosure co-founders Shalev and Romi Lifshitz outline a cyberdefense strategy for superintelligence, centered on sabotage, escape, and theft threats from AI cyberswarms.
4 min · 1,030 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
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