Dwarkesh Patel

What Dwarkesh Patel Says About Artificial Intelligence

19 episodes about artificial intelligence

Deeply researched interviews

Key Insights on Artificial Intelligence

AI makes this Cold War more dangerous and unpredictable than the first one, despite nuclear weapons still existing

  • Competition drives innovation when nonviolent, as seen in AI and electric vehicles, but becomes dangerous when states compete militarily
  • FM Investments built an anti-hallucination large language model trained on 1,784 documents to simulate Fed candidate Kevin Warsh's policy positions.
  • The underlying AI technology exponential has progressed roughly as expected, moving from 'smart high school student to smart college student to beginning PhD level' - Dario
  • Clinical trials will accelerate but 'not instant, not infinitely fast' due to manufacturing and regulatory constraints even with AI drug discovery
  • AI models already write 90% of code lines at some companies, but productivity gains follow a spectrum from lines to full end-to-end tasks
  • Export controls on AI chips to China remain difficult to enforce despite bipartisan support due to economic pressures
  • Profitability in AI comes from accurately predicting demand rather than underinvesting, with inference margins exceeding 50%

Episodes

Adam Brown – Einstein's happiest thought: General Relativity from scratch

Adam Brown – Einstein's happiest thought: General Relativity from scratch

The data black hole at the center of AI

The data black hole at the center of AI

Eric Jang – Building AlphaGo from scratch

Eric Jang – Building AlphaGo from scratch

Reiner Pope – The math behind how LLMs are trained and served

Reiner Pope – The math behind how LLMs are trained and served

Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat

Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat

Michael Nielsen – How science actually progresses

Michael Nielsen – How science actually progresses

Terence Tao – Kepler, Newton, and the true nature of mathematical discovery

Terence Tao – Kepler, Newton, and the true nature of mathematical discovery

Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute

Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute

I’m glad the Anthropic fight is happening now

I’m glad the Anthropic fight is happening now

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

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

Elon Musk – "In 36 months, the cheapest place to put AI will be space”

Elon Musk – "In 36 months, the cheapest place to put AI will be space”

An audio version of my blog post, Thoughts on AI progress (Dec 2025)

An audio version of my blog post, Thoughts on AI progress (Dec 2025)

Ilya Sutskever – We're moving from the age of scaling to the age of research

Ilya Sutskever – We're moving from the age of scaling to the age of research

Satya Nadella — How Microsoft is preparing for AGI

Satya Nadella — How Microsoft is preparing for AGI

Richard Sutton – Father of RL thinks LLMs are a dead end

Richard Sutton – Father of RL thinks LLMs are a dead end

“I find it almost disturbing that the universe favors life this strongly” – Nick Lane

“I find it almost disturbing that the universe favors life this strongly” – Nick Lane

Andrej Karpathy — “We’re summoning ghosts, not building animals”

Andrej Karpathy — “We’re summoning ghosts, not building animals”

Andrej Karpathy — AGI is still a decade away

Andrej Karpathy — AGI is still a decade away

Some thoughts on the Sutton interview

Some thoughts on the Sutton interview

Books on artificial intelligence

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