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Dwarkesh Podcast

Cahyani

Deeply researched interviews www.dwarkesh.com

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Episodes

147 episodes

  1. The avalanche that hit math is coming for AI development 44:27
  2. Robert Caro – The master biographer reflects at 91 1:01:10
  3. What I learned about power from LBJ and Robert Moses 24:42
  4. What will computer chips look like in 2045? 1:09:00
  5. Welcome to the World of Art 5:45
  6. Si Sheppard – How did a few hundred Spanish soldiers topple two empires? 1:37:24
  7. Noam Brown – Agent swarms, alignment, & recursive self-improvement 1:20:10
  8. AI researchers debate how close we are to recursive self-improvement 1:37:02
  9. Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face 2:20:33
  10. The rise and fall of agent civilizations 24:41
  11. Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028 1:16:53
  12. Ryan Greenblatt – What happens once AI can automate AI research? 2:12:32
  13. 8 Predictions for the Era of Continual Learning 8:38
  14. Why smarter AI models could drive up compute prices 10x 11:18
  15. Adam Brown – A deep but accessible introduction to general relativity 1:38:25
  16. Grant Sanderson – AI and the future of math 1:33:40
  17. The next big breakthrough will be AIs learning on the job 19:53
  18. The data black hole at the center of AI 11:57
  19. Ada Palmer – Machiavelli is the most misunderstood thinker of all time 2:08:21
  20. Alex Imas and Phil Trammell – What remains scarce after AGI? 1:16:09
  21. Reiner Pope – Chip design from the bottom up 1:20:31
  22. Eric Jang – Building AlphaGo from scratch 2:37:30
  23. David Reich – Why the Bronze Age was an inflection point in human evolution 2:13:20
  24. Reiner Pope – The math behind how LLMs are trained and served 2:13:50
  25. Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat 1:43:13
  26. Michael Nielsen – How science actually progresses 2:03:04
  27. Terence Tao – Kepler, Newton, and the true nature of mathematical discovery 1:23:45
  28. Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute 2:30:45
  29. The most important question nobody's asking about AI 24:39
  30. Why Leonardo was a saboteur, Gutenberg went broke, and Florence was weird – Ada Palmer 2:02:20
  31. Dario Amodei — "We are near the end of the exponential" 2:22:20
  32. Elon Musk — "In 36 months, the cheapest place to put AI will be space” 2:49:46
  33. Adam Marblestone — AI is missing something fundamental about the brain 1:49:54
  34. Thoughts on AI progress (Dec 2025) 12:28
  35. Sarah Paine — Why Russia Lost the Cold War 1:54:55
  36. Ilya Sutskever — We're moving from the age of scaling to the age of research 1:36:04
  37. Satya Nadella — How Microsoft is preparing for AGI 1:27:48
  38. Sarah Paine — How Russia sabotaged China's rise 1:30:37
  39. Andrej Karpathy — AGI is still a decade away 2:25:20
  40. Nick Lane – Life as we know it is chemically inevitable 1:20:09
  41. Some thoughts on the Sutton interview 11:40
  42. Richard Sutton – Father of RL thinks LLMs are a dead end 1:06:22
  43. Fully autonomous robots are much closer than you think – Sergey Levine 1:28:29
  44. How Hitler almost starved Britain – Sarah Paine 1:35:18
  45. Evolution designed us to die fast; we can change that — Jacob Kimmel 1:44:40
  46. China is killing the US on energy. Does that mean they’ll win AGI? — Casey Handmer 1:08:22
  47. Artificial meat is harder than artificial intelligence — Lewis Bollard 1:08:05
  48. Sarah Paine — How Imperial Japan defeated Tsarist Russia & Qing China 1:55:37
  49. Stephen Kotkin — How Stalin became the most powerful dictator in history 2:12:41
  50. Why I don’t think AGI is right around the corner 14:01