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.
Watch on YouTube; read the transcript.
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Timestamps
(00:00:00) - What exactly are we scaling?
(00:12:36) - Is diffusion cope?
(00:29:42) - Is continual learning necessary?
(00:46:20) - If AGI is imminent, 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 China and America both have a country of geniuses in a datacenter?
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