Is Human Data Enough? With David Silver

In this episode of Google DeepMind: The Podcast, VP of Reinforcement Learning, David Silver, describes his vision for the future of AI, exploring the concept of the "era of experience" versus the current "era of human data". Using AlphaGo and AlphaZero as examples, he highlights how these systems surpassed human capabilities by engaging in reinforcement learning without prior human knowledge. This approach contrasts with large language models, which depend on human data and feedback. Silver emphasizes the need to explore this path to drive AI progress and achieve artificial superintelligence. Timestamps 00:00 Introduction 01:50 Era of experience 03:45 AlphaZero 10:19 Move 37 15:20 Reinforcement learning and human feedback 24:30 AlphaProof 29:50 Math Olympiads 35:00 Experience based methods 42:56 Hannah's reflections 44:00 Fan Hui joins ___ Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Series Editor: Rami Tzabar Commissioner & Producer: Emma Yousif Music Composition: Eleni Shaw Audio Engineer: Richard Courtice Production Manager: Dan Lazard Video Director and Editor: Bernardo Resende Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Audio Engineer: Perry Rogantin Camera and Lighting Operator: Robert Messere Production Coordination: Zoey Roberts, Sarah Ellen Morton Visual Identity and Design: Rob Ashley Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Is Human Data Enough? With David Silver is an episode from DeepMind: The Podcast by Google DeepMind.

This episode is 00:49:38 long.

This episode was published on Apr 10, 2025.

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