MIT computational biologist Manolis Kellis and Lex Fridman explore what makes humans irreplaceable, AI as the next stage of evolution, digital twins, love, and curing disease.

Manolis Kellis — Professor at MIT and head of the MIT Computational Biology Group, a leading scientist in genomics and the genetic basis of disease. This is his fifth appearance on the Lex Fridman Podcast.
Kellis and Fridman trace human uniqueness to the layered 'baggage' of evolution, genetics, and culture, arguing that AI is better understood as the next stage of evolution and as our 'children' rather than mere tools. They dig into nature vs. nurture, rare vs. common genetic variants, and how diversity is wired into us. A long stretch explores AI companionship, romantic love with machines, and the idea of building a continuously learning digital twin of oneself. They debate AI alignment as a two-way street, the proposed six-month training pause, open-sourcing, and existential risk. Kellis closes by detailing his lab's work using AI to map disease pathways into modular, personalized drugs, plus reflections on self-actualization, exercise, and reclaiming personal freedom.
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Ryan Holiday (inferred)
“one of the books that I reprogram my brain with at night was called uh ego is the enemy” — Manolis Kellis 01:29:29Find it on Amazon