Safeguard-free open models, not rogue AI, are the imminent threat
Bill Gates, chairman of the Gates Foundation, tells Decoder about cyber and bio risk, a 20-year jobs transition, and how to enforce safeguards on open-weight models.
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Zuckerberg: widely distributed AI is safer than restricted frontier models
Mark Zuckerberg, Meta CEO, on his 15-page manifesto, the Muse personal agent with its confidential VM, and why Meta's rebuilt lab is chasing the frontier with Watermelon.
Every measure of how long AI can work is now saturated
Wharton professor Ethan Mollick tells Derek Thompson why AI's economic impact lags its capability, how four paradoxes erode expertise and effort, and why agents break friction-based systems.
Anthropic and OpenAI will absorb half of new compute by 2027
SemiAnalysis founder Dylan Patel tells Dwarkesh Patel how lab economics reshape compute markets, why rising interest rates and regulation could cap the buildout, and how far behind China is.
Meta wrote a $100 billion check before seeing Muse Wonder
Mark Zuckerberg and Alex Wang tell a Stripe-hosted podcast how Meta built Muse Wonder, why the model is the product, and how they justified a $100 billion-plus compute bet.
Hassabis: anything nature evolved can be efficiently learned by classical computers
Demis Hassabis, leader of Google DeepMind, talks to Lex Fridman about learnable natural systems, how close AGI is, and what abundant energy and AI do to work.
Meta built Muse in 7 months with under 200 people
Alexandr Wang, who runs Meta Superintelligence Labs, covers the Muse personal agent, why Meta bet on consumer over coding, and how he rebuilt the lab as a flat, talent-dense team.