Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475

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Demis Hassabis is the CEO of Google DeepMind and Nobel Prize winner for his groundbreaking work in protein structure prediction using AI.
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See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.

*Transcript:*
https://lexfridman.com/demis-hassabis-2-transcript

*CONTACT LEX:*
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*EPISODE LINKS:*
Demis's X: https://x.com/demishassabis
DeepMind's X: https://x.com/GoogleDeepMind
DeepMind's Instagram: https://instagram.com/GoogleDeepMind
DeepMind's Website: https://deepmind.google/
Gemini's Website: https://gemini.google.com/
Isomorphic Labs: https://isomorphiclabs.com/
The MANIAC (book): https://amzn.to/4lOXJ81
Life Ascending (book): https://amzn.to/3AhUP7z

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*OUTLINE:*
0:00 - Episode highlight
1:21 - Introduction
2:06 - Learnable patterns in nature
5:48 - Computation and P vs NP
14:26 - Veo 3 and understanding reality
18:50 - Video games
30:52 - AlphaEvolve
36:53 - AI research
41:17 - Simulating a biological organism
46:00 - Origin of life
52:15 - Path to AGI
1:03:01 - Scaling laws
1:06:17 - Compute
1:09:04 - Future of energy
1:13:00 - Human nature
1:17:54 - Google and the race to AGI
1:35:53 - Competition and AI talent
1:42:27 - Future of programming
1:48:53 - John von Neumann
1:58:07 - p(doom)
2:02:50 - Humanity
2:05:56 - Consciousness and quantum computation
2:12:06 - David Foster Wallace
2:19:20 - Education and research

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Category
Artificial Intelligence
Tags
Demis Hassabis, alex friedman, lex ai

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