#475 – Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games
About this episode
Demis Hassabis is the CEO of Google DeepMind and Nobel Prize winner for his groundbreaking work in protein structure prediction using AI.
See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.
Transcript:
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EPISODE LINKS:
Demis’s X
DeepMind’s Instagram
DeepMind’s Website
Gemini’s Website
Isomorphic Labs
The MANIAC (book)
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OUTLINE:
(00:00) – Introduction
(00:29) – Sponsors, Comments, and Reflections
(08:40) – Learnable patterns in nature
(12:22) – Computation and P vs NP
(21:00) – Veo 3 and understanding reality
(25:24) – Video games
(37:26) – AlphaEvolve
(43:27) – AI research
(47:51) – Simulating a biological organism
(52:34) – Origin of life
(58:49) – Path to AGI
(1:09:35) – Scaling laws
(1:12:51) – Compute
(1:15:38) – Future of energy
(1:19:34) – Human nature
(1:24:28) – Google and the race to AGI
(1:42:27) – Competition and AI talent
(1:49:01) – Future of programming
(1:55:27) – John von Neumann
(2:04:41) – p(doom)
(2:09:24) – Humanity
(2:12:30) – Consciousness and quantum computation
(2:18:40) – David Foster Wallace
(2:25:54) – Education and research
PODCAST LINKS: