Dario Amodei on Dwarkesh Patel: Why the Exponential Ends

ℹ️ EPISODE INFO

Released

February 13, 2026

Duration

2h 22m

Channel

Dwarkesh Podcast

Watch on YouTube

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📝 EPISODE DESCRIPTION

Dario Amodei thinks we are just a few years away from “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, how AI will diffuse throughout the economy, whether Anthropic is underinvesting in compute given their timelines, how frontier labs will ever make money, whether regulation will destroy the boons of this technology, US-China competition, and much more. 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒

• Transcript: https://www.dwarkesh.com/p/dario-amodei-2
• Apple Podcasts: https://podcasts.apple.com/us/podcast/dario-amodei-the-highest-stakes-financial-model-in-history/id1516093381?i=1000749621800
• Spotify: https://open.spotify.com/episode/2ZNrpVSrgZMlDwQinl20Ay?si=9D4aG1l7S-2wzLsiILRLIg

𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒

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To sponsor a future episode, visit https://dwarkesh.com/advertise. 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? 02:05:46 - Claude's constitution

🎤 SPEAKERS

• Dwarkesh Patel

  host

• Dario Amodei

  guest

🧾 EPISODE SUMMARY

In this episode of Dwarkesh Podcast, featuring Dwarkesh Patel and Dario Amodei, Dario Amodei on Dwarkesh Patel: Why the Exponential Ends explores Dario Amodei argues scaling continues, but exponential progress is ending soon Dario Amodei claims the core scaling thesis hasn’t changed since his 2017 “Big Blob of Compute” view: compute, data (quantity/quality), training time, scalable objectives, and stability tricks dominate progress more than clever new algorithms.

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