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

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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

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