Navigating the Landscape of Hypothesis Testing and Experimental Design

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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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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