Is Human Data Enough? With David Silver

In this episode of the Google DeepMind podcast, host Hannah Fry interviews David Silver, a key figure behind AlphaGo, about his vision for the future of AI, termed the "era of experience." Silver argues that current AI models overly rely on human data, limiting their potential for groundbreaking discoveries. He advocates for AI systems that learn through self-generated experiences, citing AlphaGo and AlphaZero as examples. The discussion covers the "bitter lesson" of AI, reinforcement learning, the significance of AlphaGo's move 37, and the application of these principles to mathematics with AlphaProof. Silver also addresses the challenges of applying reinforcement learning in less defined real-world scenarios and the importance of aligning AI goals with human values, suggesting a shift towards AI that continuously learns and adapts from its interactions with the world. The episode concludes with a conversation between David Silver and Fan Hui, the first professional Go player to play against AlphaGo.