Dario Amodei — "We are near the end of the exponential"

About this episode

Dario Amodei discusses the near future of AGI and its implications for the economy and AI development.

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 . Sponsors * Labelbox can get you the RL tasks and environments you need. Their massive network of subject-matter experts ensures realism across domains, and their in-house tooling lets them continuously tweak task difficulty to optimize learning. Reach out at labelbox.com/dwarkesh . * Jane Street sent me another puzzle… this time, they’ve trained backdoors into 3 different language models — they want you to find the triggers. Jane Street isn’t even sure this is possible, but they’ve set aside $50,000 for the best attempts and write-ups. They’re accepting submissions until April 1st at janestreet.com/dwarkesh . * Mercury ’s personal accounts make it easy to share finances with a partner, a roommate… or OpenClaw. Last…

People in this episode

Host: Dwarkesh Patel

Guest: Dario Amodei

Topics covered

• AGI
• scaling hypothesis
• reinforcement learning
• AI diffusion
• revenue projections
• compute commitments

Keywords

• AGI
• scaling hypothesis
• reinforcement learning
• AI
• Anthropic
• revenue projections
• compute commitments

Sponsors

Labelbox, Jane Street, Mercury

Mentioned in this episode

Organizations: Anthropic

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