Friedberg: Emergent biological complexity extends far beyond any silicon AI model
David Friedberg · Chip Stocks Crash, $20B Fund Margin Called, Frontier Labs: SLOW DOWN AI, Mamdani's Grocery Stores · Jul 30, 2026 · at 1:32:55
David Friedberg discusses the scale of molecular interactions in biological cells compared to modern AI architectures.
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“In a single cell, there's ten billion proteins that work so fast that one second is the equivalent of 80 years of humans walking around the city of Manhattan, never sleeping, doing stuff together. With 500 story tall skyscrapers doing stuff for 80 years is 1:02 in one cell, and so you have 10 trillion cells in your body doing that, living that entire universe every second, all interacting with each other, and you start to realize that there's a complexity in what's emerged in biology that extends well beyond any model we've built in silicon today.”
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