#475 – Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games

In this episode of the Lex Fridman Podcast, Lex interviews Demis Hassabis, leader of Google DeepMind, about his Nobel Prize lecture and the possibility of efficiently modeling patterns found in nature using classical learning algorithms. They discuss the potential for AI to solve complex problems, including the P equals NP question, and explore the capabilities of AI systems like AlphaFold and VEO in modeling physics and understanding the world. They delve into the future of video games with AI, the potential of Alpha Evolve, the challenges of modeling a cell, and the role of AI in scientific discovery. The conversation touches on the scaling of compute, the future of energy, the nature of consciousness, and the ethical considerations surrounding AGI, emphasizing the importance of collaboration and responsible stewardship of AI technology. Lex also answers a question about David Foster Wallace's "This is Water" speech and addresses some personal attacks.