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Dwarkesh Podcast

Dwarkesh Podcast

Dwarkesh Patel Technology 133 sassa USA 2026-07-11 1 cirewa
Deeply researched interviews

www.dwarkesh.com
Nau'in: Technology Podcasts Science

Sassa (133 sassa)

Adam Brown – A deep but accessible introduction to general relativity
Adam Brown is back! General relativity is said to be the most beautiful idea the human mind has ever produced. Most of us will never get to fully appreciate its elegance by taking the 20-lecture grad...
2026-07-11
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Grant Sanderson – AI and the future of math
Always so much fun to chat with Grant. AI has been making much faster progress in math than in other fields. As a result, mathematics is showing us, very concretely, what AI progress in other fields ...
2026-06-30
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The next big breakthrough will be AIs learning on the job
Read it here. Thanks to Mercury for sponsoring this essay. Mercury has automated basically my entire bill pay process for my business. I just give contractors a dedicated email address, and when the...
2026-06-26
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The data black hole at the center of AI
Read the transcript here. Thanks to Mercury for sponsoring this essay! Mercury just released a new feature called Command, which gives me AI right in my banking platform. And since I use Mercury to ...
2026-06-20
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Ada Palmer – Machiavelli is the most misunderstood thinker of all time
Had Ada Palmer back on – this time to talk about Machiavelli, perhaps the most misunderstood thinker of all time. Machiavelli cut his teeth as a high-level diplomat for Florence, a position from whic...
2026-06-17
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Alex Imas and Phil Trammell – What remains scarce after AGI?
Economics of AGI episode w Alex Imas and Phil Trammell. There’s a bunch of important questions about how we deal with AI that only economics can answer. What is the optimal way to tax and redistribu...
2026-06-05
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Reiner Pope – Chip design from the bottom up
New blackboard lecture with Reiner Pope: how do chips actually work - starting with basic logic gates, and working up to why GPUs, TPUs, FPGAs, and the human brain each look the way they do. Reiner i...
2026-05-22
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Eric Jang – Building AlphaGo from scratch
Eric Jang walks through how to build AlphaGo from scratch, but with modern AI tools. Sometimes you understand the future better by stepping backward. AlphaGo is still the cleanest worked example of t...
2026-05-16
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David Reich – Why the Bronze Age was an inflection point in human evolution
David Reich is back. He and collaborator Ali Akbari just published a paper that overturns a long-standing consensus about human evolution — that natural selection has been dormant in our species sinc...
2026-05-09
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Reiner Pope – The math behind how LLMs are trained and served
Did a very different format with Reiner Pope - a blackboard lecture where he walks through how frontier LLMs are trained and served. It’s shocking how much you can deduce about what the labs are doin...
2026-04-30
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Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat
I asked Jensen about TPU competition, Nvidia’s lock on the ever more bottlenecked supply chain needed to make advanced chips, whether we should be selling AI chips to China, why Nvidia doesn’t just be...
2026-04-15
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Michael Nielsen – How science actually progresses
Really enjoyed chatting with Michael Nielsen about how we recognize scientific progress. It's especially relevant for closing the RL verification loop for scientific discovery. But it's also a surpr...
2026-04-07
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Terence Tao – Kepler, Newton, and the true nature of mathematical discovery
We begin the episode with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion. People sometimes say that AI will make especially fast progress at scien...
2026-03-21
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Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute
Dylan Patel, founder of SemiAnalysis, provides a deep dive into the 3 big bottlenecks to scaling AI compute: logic, memory, and power. And walks through the economics of labs, hyperscalers, foundries...
2026-03-14
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The most important question nobody's asking about AI
Read the full essay here: https://www.dwarkesh.com/p/dow-anthropic Timestamps (00:00:00) - Anthropic vs The Pentagon (00:04:16) - The overhangs of tyranny (00:05:54) - AI structurally favors mass ...
2026-03-12
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Why Leonardo was a saboteur, Gutenberg went broke, and Florence was weird – Ada Palmer
Renaissance history is so much wilder and weirder than you would have expected. Very fun chatting with Ada Palmer (historian, novelist, and composer based at the University of Chicago). Some especial...
2026-03-07
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Dario Amodei — "We are near the end of the exponential"
Dario Amodei thinks we are just a few years away from AGI — or as he puts it, from having “a country of geniuses in a data center”. In this episode, we discuss what to make of the scaling hypothesis i...
2026-02-14
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Elon Musk — "In 36 months, the cheapest place to put AI will be space”
In this episode, John and I got to do a real deep-dive with Elon. We discuss the economics of orbital data centers, the difficulties of scaling power on Earth, what it would take to manufacture humano...
2026-02-06
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Adam Marblestone — AI is missing something fundamental about the brain
Adam Marblestone is CEO of Convergent Research. He’s had a very interesting past life: he was a research scientist at Google Deepmind on their neuroscience team and has worked on everything from brain...
2025-12-31
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Thoughts on AI progress (Dec 2025)
Read the essay here. Timestamps 00:00:00 What are we scaling? 00:03:11 The value of human labor 00:05:04 Economic diffusion lag is cope00:06:34 Goal-post shifting is justified 00:08:23 RL scaling...
2025-12-24
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