
Dwarkesh Podcast
Dwarkesh Patel
In-depth conversations with experts like Eric Jang and Ilya Sutskever on AI, science, and technology.
Why we picked this
We picked Dwarkesh Podcast because its host treats technical depth as a baseline, not a ceiling. Dwarkesh Patel finds researchers and builders who will walk through the actual mechanics of their work—ResNet inductive biases, Brayton cycle thermodynamics, the economics of solar learning curves—rather than settling for the headline takeaway. The show's posture is patient, literal, and unafraid of long stretches where the guest simply teaches. Subscribe for the feed; the back catalog is a running seminar on the systems shaping the next decade.
Recent episodes

Adam Brown – A deep but accessible introduction to general relativity
Jul 10, 20261h 38m

Grant Sanderson – AI and the future of math
Jun 30, 20261h 33m

The next big breakthrough will be AIs learning on the job
Jun 26, 202619 min

The data black hole at the center of AI
Jun 19, 202611 min

Ada Palmer – Machiavelli is the most misunderstood thinker of all time
Jun 16, 20262h 8m

Alex Imas and Phil Trammell – What remains scarce after AGI?
Jun 4, 20261h 16m

Reiner Pope – Chip design from the bottom up
May 22, 20261h 20m

Eric Jang – Building AlphaGo from scratch
May 15, 20262h 37m

David Reich – Why the Bronze Age was an inflection point in human evolution
May 8, 20262h 13m

Reiner Pope – The math behind how LLMs are trained and served
Apr 29, 20262h 13m

Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat
Apr 15, 20261h 43m

Michael Nielsen – How science actually progresses
Apr 7, 20262h 3m
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