Dario Amodei — The highest-stakes financial model in history
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Episode: Dario Amodei — The highest-stakes financial model in history
Pub date: 2026-02-13
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Dario Amodei thinks we are just a few years away from AGI — or as he puts it, from having “a country of geniuses in a data center”. In this episode, we discuss what to make of the scaling hypothesis in the current RL regime, why task-specific RL might lead to generalization, and how AI will diffuse throughout the economy. We also dive into Anthropic’s revenue projections, compute commitments, path to profitability, and more.
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Timestamps
(00:00:00) - Does task-specific RL hint at lack of generalization?
(00:12:36) - Is economic diffusion just cope?
(00:29:42) - Is continual learning necessary? How will it be solved?
(00:46:20) - If AGI is 1-3 years away, why not buy more compute?
(00:58:49) - How will AI labs actually make profit?
(01:31:19) - Will regulations destroy the boons of AGI?
(01:47:41) - Why can’t both China and America have a country of geniuses in a datacenter?
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