About this episode

Sebastian Mallaby discusses his extensive interviews with Demis Hassabis, exploring his role in AI and the implications of his work on superintelligence.

Sebastian Mallaby spent three years and 30+ hours interviewing Demis Hassabis in the back of a British pub to write The Infinity Machine, and the conversation uses that reporting to surface the most underexplored figure in AI. Demis founded the original AI lab in 2010, won a Nobel Prize, runs models that consistently top the leaderboards, and yet remains so unrecognized that Sebastian's own publisher worried no one would buy a book with his face on the cover. The throughline is a paradox: Demis tried to prevent the AI race we're now all living through, and now finds himself one of its central protagonists. He used to believe a single lab could carry the safety burden to AGI; he now sees safety as a collective action problem only governments can solve. He hedged DeepMind's research bets across every promising direction, and as a result missed the two most consumer-defining moments in modern AI — ChatGPT and Claude Code. He nearly spun DeepMind out of Google with a secret $1B Reid Hoffman pledge backing him, but never used the leverage and stayed — and won a Nobel Prize the next year. The episode also zooms out to the structural forces shaping the race — why hyperscalers can't…

People in this episode

Host: Jacob Effron

Guest: Sebastian Mallaby

Topics covered

• AI
• DeepMind
• Superintelligence
• Nobel Prize
• AGI safety
• technology race

Keywords

• DeepMind
• Demis Hassabis
• Sebastian Mallaby
• AI race
• Nobel Prize
• AGI
• OpenAI
• Anthropic

Mentioned in this episode

Organizations: DeepMind, OpenAI, Anthropic

Books & works: The Infinity Machine

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