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AI isn’t the new nuke. The comparison makes for a compelling soundbite, but it’s conceptually flawed. In our new piece for AI Frontiers Michael C. Horowitz and I explain why nuclear non-proliferation is the wrong analogy for AI governance. ai-frontiers.org/articles/nucle…

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Should AI governance resemble nuclear non-proliferation? Should there be an “IAEA for AI”? Penn Michael C. Horowitz and CSET Lauren Kahn argue against the nuclear analogy and call for a sector-specific approach instead.

Have U.S. chip export controls curbed Chinese AI? In our latest analysis, Chris Miller (“Chip War”) examines three dimensions of impact: 1️⃣ China’s domestic chipmaking capability 2️⃣ The competitiveness of Chinese AI models 3️⃣ China’s ability to provide AI infrastructure

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The EU just finalized its Code of Practice for general-purpose AI models—turning the AI Act’s high-level principles into concrete requirements.

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METR found AI can slow coders. Three researchers reveal AI tools can also cripple human performance in life‑or‑death settings.

New post (also in AI Frontiers): AI Grand Strategy & the Rest of the World The AI Action Plan is the latest hint at an emerging mercantilist global AI paradigm. The underlying question of US & Chinese strategy on AI is still not settled - and matters for the entire world. 🧵

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The US-China race for AI dominance is rewiring geopolitics—but what happens to nations caught in the middle? Anton Leicht lays out three playbooks available to the world's middle powers.

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“The choice is ours: design competitive AI markets around open principles, or accept a new generation of platform monopolies.” - Tim O'Reilly Ilan Strauss and Isobel Moure on how to keep AI competitive.

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MAIM (Mutual Assured AI Malfunction) depends on mutual observability of frontier AI progress between China & the US. But what dangers arise if the two superpowers can’t see clearly — or mistake what they’re seeing?