The shutdown of top AI models reverberates abroad.
AI FOR EPISTEMICS & COORDINATION
Civilization and technology have radically improved the human condition. Nonetheless, the world sometimes goes in directions which essentially nobody would prefer — e.g., nuclear arms races, unexpected financial crashes, predatory marketing, or ubiquitous political misinformation.
The AI Model That Was Too Dangerous to Release: Meet Claude Mythos
Anthropic just built the most powerful AI in history. Then decided the world wasn’t ready for it. Here’s everything you need to know.
What the Anthropic fight says about AI regulation
Fables of the deconstruction of American power
Large AI models are cultural and social technologies – Henry Farrell
Debates about artificial intelligence (AI) tend to revolve around whether large models are intelligent, autonomous agents. Some AI researchers and commentators speculate that we are on the cusp of creating agents with artificial general intelligence (AGI), a prospect anticipated with both elation and anxiety. There have also been extensive conversations about cultural and social consequences of large models, orbiting around two foci: immediate effects of these systems as they are currently used, and hypothetical futures when these systems turn into AGI agents perhaps even superintelligent AGI agents.
How the world's top AI models were revived
The personality clashes and industry confusion behind the 20-day saga.
Labor market impacts of AI: A new measure and early evidence
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
How Americans see AI impacting human skills; its role in science, matchmaking, religion and more
Majorities don’t want AI to give advice about religion or love. But many say AI should help forecast weather, search for financial crimes, develop medicine and more.
The Great AI Divide: Navigating U.S. and Chinese dominance
At a Rest of World event during New York Tech Week, we explored the challenges and possible solutions to the dominance of American and Chinese AI companies.
Europe 2031 — What getting AI wrong means for us
A five-year scenario about AI and Europe's impending slide into irrelevance, with a 2034 epilogue that describes how the collapse of the European model could have been prevented.
Comparing U.S. and global attitudes toward AI
Five charts on how Americans feel about the current and future impact of AI on society, and how Americans’ views on the technology stack up against the rest of the world
Large AI models are cultural and social technologies
Implications draw on the history of transformative information systems from the past , Debates about artificial intelligence (AI) tend to revolve around whether large models are intelligent, autonomous agents. Some AI researchers and commentators speculate that we are on the cusp of creating agents with artificial general intelligence (AGI), a prospect anticipated with both elation and anxiety. There have also been extensive conversations about cultural and social consequences of large models, orbiting around two foci: immediate effects of these systems as they are currently used, and hypothetical futures when these systems turn into AGI agents—perhaps even superintelligent AGI agents. But this discourse about large models as intelligent agents is fundamentally misconceived. Combining ideas from social and behavioral sciences with computer science can help us to understand AI systems more accurately. Large models should not be viewed primarily as intelligent agents but as a new kind of cultural and social technology, allowing humans to take advantage of information other humans have accumulated.
How Americans View AI and Its Impact on Human Abilities, Society
Americans are worried about using AI more in daily life, seeing harm to human creativity and relationships. But they’re open to AI use in weather forecasting, medicine and other data-heavy tasks.
Agentic AI gets lost
On the failure of AI to develop world models
1/7 Proud to share our paper, accepted as an oral at ICML '26! We highlight how Big Tech’s influence on AI R&D drives damaging outcomes, and what we as researchers can do about it. We also discuss underlying economic causes. See link for paper, and below for a brief summary arxiv.org/abs/2512.03077
1/7 Proud to share our paper, accepted as an oral at ICML '26! We highlight how Big Tech’s influence on AI R&D drives damaging outcomes, and what we as researchers can do about it. We also discuss underlying economic causes. See link for paper, and below for a brief summary arxiv.org/abs/2512.03077
