Episode notes
Professor Hannah Fry is joined by Jeff Dean, one of the most legendary figures in computer science and chief scientist of Google DeepMind and Google Research.
Google DeepMind: The Podcast
by Hannah Fry · English · Tech & Science
Join mathematician and broadcaster Professor Hannah Fry as she goes behind the scenes of the world-leading research lab to uncover the extraordinary ways AI is transforming our world. No hype. No spin, just compelling discussions and grand scientific ambition.
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E33 · 1 Oct 2026 · 38 min
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E32 · 9 Sep 2026 · 44 min
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E31 · 26 Aug 2026 · 45 min
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Now, if you ask an AI a question, it will usually give you an absolute answer with unwavering authority, even if that answer turns out to be wrong. In fact, today's AI seems to be missing a fundamental human trait: self-doubt. As a professor at Cambridge and VP of Research at Google DeepMind, Zoubin finds himself at the heart of an interesting debate: will improving machine uncertainty be one of the missing pieces to ever improving AI?
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E30 · 10 Jul 2026 · 53 min
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E29 · 23 Jun 2026 · 43 min
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The conversation of the moment is focused on one topic: AI agents. Unlike traditional language models that simply respond to a prompt, autonomous agents can execute multi-step plans and perform complex tasks on your behalf. But what happens when millions of these agents are not just working for us, but transacting, negotiating, and delegating to one another? Nenad Tomašev, Senior Staff Research Scientist at Google DeepMind, joins host Hannah Fry to discuss the theoretical framework of a future "agentic economy." Together, they discuss the operational shift from single systems to a…
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In our final episode of the season, Professor Hannah Fry sits down with Google DeepMind co-founder and CEO Demis Hassabis for their annual check-in. Together, they look beyond the product launches to the scientific and technological questions that will define the next decade. Demis shares his vision for the path to AGI - from solving "root node" problems in fusion energy and material science to the rise of world models and simulations. They also explore what's beyond the frontier and the importance of balancing scientific rigor amid the competitive dynamics of AI advancement.
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