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

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EPISODE LINKS:
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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:
(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

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Episode	Podcast	Published	Duration	Status

Episode	Podcast	Published	Duration	Status

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

Description

Transcript not available

Transcript not available