Essays from Princeton's AI researchers (including Arvind Narayanan) arguing that AI is a transformative but normal technology rather than a path to superintelligence. Recent issues cover AI agent evaluation methods, whether AI should aim at augmenting rather than automating human labor, and debates over AI safety and existential risk.

Long-form essays on frontier AI, covering interpretability, AI safety scenarios, and how free societies might handle concentration of power. The author draws on political theory, history and literature, and has written from inside an AI lab.

Essays on AI agents, frontier lab economics and agent governance, mixing original simulation experiments with analysis and occasional fiction. Readers get a thoughtful, idiosyncratic view of how AI systems behave and how institutions might respond.

Research nonprofit blog on AI timelines forecasting, AGI and superintelligence risk, and policy proposals for managing frontier AI development. It publishes forecasting model updates, regulatory proposals, and testimony on AI safety.