Dwarkesh Podcast Transcripts

Why smarter AI models could drive up compute prices 10x

Adam Brown – A deep but accessible introduction to general relativity

Grant Sanderson – AI and the future of math

The next big breakthrough will be AIs learning on the job

The data black hole at the center of AI

Ada Palmer – Machiavelli is the most misunderstood thinker of all time

Alex Imas and Phil Trammell – What remains scarce after AGI?

Reiner Pope – Chip design from the bottom up

Eric Jang – Building AlphaGo from scratch

David Reich – Why the Bronze Age was an inflection point in human evolution

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

Michael Nielsen – How science actually progresses

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

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

I’m glad the Anthropic fight is happening now

How cosplaying Ancient Rome led to the scientific revolution

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

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

Adam Marblestone – AI is missing something fundamental about the brain

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

Sarah Paine – Why Russia Lost the Cold War

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

Satya Nadella — How Microsoft is preparing for AGI

Sarah Paine – How Russia sabotaged China's rise

Andrej Karpathy — AGI is still a decade away

Nick Lane – Life as we know it is chemically inevitable

Some thoughts on the Sutton interview

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