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Dwarkesh Podcast

Dwarkesh Patel
Dwarkesh Podcast
Latest episode

133 episodes

  • Dwarkesh Podcast

    Adam Brown – A deep but accessible introduction to general relativity

    2026/07/10 | 1h 38 mins.
    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 graduate course Adam taught on it at Stanford. But in this episode, Adam distills the key idea at its heart so clearly and compellingly that even I could keep up lol.
    At the core of general relativity, Einstein is trying to figure out the principle behind a particular coincidence: that the mass that resists acceleration and the mass that gravity pulls on just happen to be exactly the same. Adam then leads us through the path of insight which Einstein called his “happiest thought.”
    Then Adam lectures on black holes. First, by showing how even under special relativity you could create a perpetual motion machine if black holes weren’t truly black. And then, by explaining why the observations of an infalling observer and a distant bystander to the black hole would be so radically different
    Adam leads Blueshift, the team at Google DeepMind cracking science and reasoning, which gave us the opportunity to discuss at the very end how close we are to AIs that could rediscover general relativity from scratch. Stay till the close for some philosophy of science.
    Watch on YouTube; read the transcript.
    Sponsors
    * Jane Street has traders from all sorts of different backgrounds. For example, I recently got to speak with Jed Thompson, a trader who started his career in particle physics. Jed told me how the habits he built as a physicist (like never running a calculation without first having a good guess at the answer) helped him build good trading intuition. So no matter what field you’re working in right now, your experience may be more applicable than you think. Check out open positions at janestreet.com/dwarkesh
    * Crusoe gave me early access to their new serverless fine-tuning product, so I decided to try fine-tuning a Dwarkesh-style question generator. Crusoe made this really easy: I just turned my interview transcripts into training data and then kicked off a run – I never had to touch infra or tweak hyperparameters. After training was done, I ran a blind eval with my team: they preferred the fine-tuned model’s proposed questions over my own suggestions about 30% of the time. Serverless fine-tuning goes live next week. Learn more at crusoe.ai/dwarkesh
    * Cursor’s iOS app lets me kick off real work no matter where I am. For example, recently I was at dinner with friends when I had an idea about how to investigate the past few years of progress in sample efficiency. I pulled out the Cursor app, dumped my thoughts into a voice note, and 15 minutes later, Cursor had cloned the relevant repo, done the necessary analysis, and written up its findings. And now I’m expanding that work into a full write-up. Without the Cursor app, the idea would’ve floated away. Check out the app now at cursor.com/dwarkesh
    Timestamps
    (00:00:00) – The coincidence that led Einstein to general relativity
    (00:16:42) – Gravity is a consequence of curved spacetime, not a force
    (00:31:46) – Why black holes prevent unlimited energy extraction
    (00:47:12) – Black holes are the ultimate power plants
    (01:13:50) – What falling into a black hole would actually feel like
    (01:18:51) – The three ways we know black holes are real
    (01:24:21) – The first time we saw gravity bend light
    (01:29:33) – How far can AI get without experimental evidence?


    Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
  • Dwarkesh Podcast

    Grant Sanderson – AI and the future of math

    2026/06/30 | 1h 33 mins.
    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 will look like. Even within mathematics, there’s a jagged landscape. What does it look like?
    What is the nature of the most important conceptual breakthroughs in the history of mathematics, and how different are they from what AIs are currently able to do?
    Does AI (on net) increase or decrease human understanding of the field?
    How big is the overhang from having AIs systematically try to connect ideas already in the literature?
    And what advice does Grant have for aspiring mathematicians, coders, and other students who are passionate about fields that are being most transformed upon by AI?
    Watch on YouTube; read the transcript.
    Sponsors
    * Gemini 3.5 Live Translate is what I wished I’d had on my last trip to China. It detects more than 70 languages and translates them in near real-time… and it preserves your original pacing and intonation. If you’re building an app that needs live translation, you should check out Gemini 3.5 Live Translate. Get started at ai.studio/live
    * Cursor’s harness lets me use models for a huge range of tasks at the podcast. For example, Cursor cuts out the ads from each episode I produce so I can post them on Bilibili. It also helps me prep for interviews — I have a repo full of books and papers that Cursor sorts through to find the exact right file for any given question. Try Cursor yourself at cursor.com/dwarkesh
    * Jane Street sponsors 3Blue1Brown, so Grant has gotten to spend a lot of time with various Jane Streeters. He actually just recorded an interview with a few of them, so when we sat down for this episode, he told me about some of the things he learned, like how Jane Street keeps their role definitions fuzzy to make sure their people keep learning and growing. Go check out Grant’s full interview at 3b1b.co/janestreet
    Timestamps
    (00:00:00) – AI is discovering new proofs. Is that AGI?
    (00:11:32) – The verification loop on conceptual breakthroughs can be a century long
    (00:26:12) – Will we understand an AI proof of the Riemann hypothesis?
    (00:38:08) – Can AI find the hidden bridges between fields?
    (00:53:48) – Why real-world tasks don’t fit into RL environments
    (01:07:07) – Good writing requires theory of mind that AI still lacks
    (01:16:02) – Why learning will still depend on human curation


    Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
  • Dwarkesh Podcast

    The next big breakthrough will be AIs learning on the job

    2026/06/26 | 19 mins.
    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 they send an invoice, Mercury automatically creates a draft payment for me to review. I no longer have to hunt through my inbox for invoices or deal with messy spreadsheets to track my bills. Mercury handles it all. Learn more at mercury.com
    Timestamps:
    (00:00:00) – The big research bet the labs are making
    (00:02:12) – Grindability is just as important as verifiability
    (00:06:10) – Will RLVR alone generalize?
    (00:08:41) – Getting the learning back to the weights
    (00:15:22) – Dreaming
    (00:17:23) – What 2027 looks like


    Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
  • Dwarkesh Podcast

    The data black hole at the center of AI

    2026/06/19 | 11 mins.
    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 run basically my entire business, Command has access to all the info it needs to get real work done. I can ask it to send invoices, or categorize expenses, or even transfer money… and Command just handles it. Learn more at mercury.com/command
    Timestamps:
    (00:00:00) – What is really driving AI progress?
    (00:03:11) – Comparing human vs AI sample efficiency
    (00:08:46) – Does sample efficiency matter?


    Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
  • Dwarkesh Podcast

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

    2026/06/16 | 2h 8 mins.
    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 which he got to closely observe the most important rulers in Europe at the time, including the ones who were on the path to destroying his dearly beloved Florence.
    In 1513 the Medici retook control of Florence and, wrongly suspecting Machiavelli of participating in a coup attempt, fired, tortured, and exiled him.
    Machiavelli could have left exile and worked for any number of different principalities that would have been eager to make use of his talents.
    Instead, he decided to rot in the countryside and compile his career’s lessons about power, politics, and human nature into a book he dedicated to the very man whose new regime had tortured and exiled him, Lorenzo di Piero de’ Medici.
    But at least the Medici were in a position to use his insights to defend Florence. Machiavelli the patriot did not want any other hands to touch these books, because those hands, armed further with these lessons, might pose an existential danger to Florence.
    The closest modern analogy, at least as Machiavelli would have seen it, would be Szilard’s letter warning FDR about the possibility of a nuclear fission bomb.
    What were those insights? And how were they inspired by Machiavelli’s dangerous diplomatic missions all across Europe, and his extensive reading of antiquity? Watch this episode with Ada Palmer to find out!
    By the way, Ada is launching a new podcast which I’m very excited about. The first season will be about Machiavelli - a perfect way to dive deeper into the topics we discussed in this episode. Subscribe at Beforecast’s website to be notified of the first episode, subscribe on YouTube, follow her on Patreon, and if you want even more Ada, check out her FixTheNews Podcast episode, and check out her books and more.
    Watch on YouTube; read the transcript.
    Sponsors
    * Cursor recently saved one of my podcast recordings. When a video file from a shoot came out corrupted, I pointed Cursor at it: it recovered the footage on its own, tracking down the right reference file from the file’s metadata and realigning the out-of-sync audio. My whole team now uses Cursor for everyday tasks, not just coding. Get started at cursor.com/dwarkesh
    * Jane Street’s hiring process has been going viral on Twitter lately. The memes are pretty funny, but I wanted to see what their interviews were actually like. So I had Ricson, one of Jane Street’s ML researchers, walk me through a retired puzzle: he gave me an image dataset where 50% of the files had been corrupted – I had to figure out how to recover them. If you’re interested in these sorts of puzzles, you can find Jane Street’s open roles at janestreet.com/dwarkesh
    * Crusoe is turning the AI datacenter buildout into an industrial process. At their massive Colorado factory, they assemble Spark units, modular datacenters with power, cooling, and fire suppression built in. They also manufacture specific components in-house to skip the longest lead times. Crusoe has experience running these Spark units on a range of energy sources, including solar and used EV batteries, ensuring they don’t get bottlenecked by grid availability. Learn more at crusoe.ai/dwarkesh
    Timestamps
    (00:00:00) – How Florence bargained with Cesare Borgia for survival
    (00:15:08) – Machiavelli’s analytical innovations
    (00:23:58) – Why popes became warlords
    (00:36:13) – Why the common people demanded nepotism
    (00:47:57) – Cesare Borgia brought terror to rulers and justice to the people
    (00:57:55) – Art as a proxy for war
    (01:06:41) – Florence, a city famous in hell
    (01:15:57) – The Prince was a job application to Machiavelli’s torturers
    (01:41:39) – During the Renaissance, original ideas had to be couched in antiquity
    (01:50:44) – Why copyright began with the Inquisition
    (02:02:12) – Machiavelli wasn’t Machiavellian


    Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
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