In this episode of the Google DeepMind podcast, Professor Hannah Fry interviews Demis Hassabis, CEO and co-founder of Google DeepMind, about the current state and future directions of AI. They discuss the rapid advancements in AI, including models like Gemini 3 and the development of world models, and touch on the progress made in solving "root node" problems like AlphaFold, with ongoing efforts in material science, fusion, and quantum computing. The conversation explores the paradox of AI's capabilities, its potential impact on mathematics, and the importance of scientific research alongside commercial product development. Hassabis shares insights on scaling AI, addressing challenges like hallucinations, and the significance of simulated worlds for robotics and scientific discovery. The discussion also covers the broader societal implications of AI, including economic disruptions and the need for international collaboration, as well as philosophical questions about the limits of computation and the nature of consciousness.
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