Dwarkesh Patel
@DwarkeshPatel (opens on YouTube)Patel prepares like someone who expects to be caught out — reading the papers, the earlier interviews, the post from four years ago the guest has forgotten writing, then asking the question that assumes you've read them too. What this collection takes from Patel skews toward agents and alignment because that is where the attention has been: Sutskever on what comes after scaling, Sutton arguing LLMs are a dead end, Aschenbrenner on a 2027 intelligence race, Kokotajlo and Scott Alexander modelling the explosion month by month.
13 conversations here
People in these conversations
Videos
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OpenAI researcher on agent swarms & recursive self-improvement
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Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face
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The OpenAI/Hugging Face attack, clearly explained
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Ryan Greenblatt – What happens once AI can automate AI research?
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General relativity from first principles – Adam Brown
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Terence Tao – AI is still brute force but it will revolutionize experimental math
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Ilya Sutskever: From the Age of Scaling to the Age of Research
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“I find it almost disturbing that the universe favors life this strongly” – Nick Lane
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Richard Sutton – Father of RL thinks LLMs are a dead end
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2027 Intelligence Explosion: Month-by-Month Model — Scott Alexander & Daniel Kokotajlo
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Adam Brown — Bubble universes, space elevators, & AdS/CFT
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Leopold Aschenbrenner - 2027 AGI, China/US Super-Intelligence Race, & The Return of History
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Dario Amodei: The Hidden Pattern Behind Every AI Breakthrough
