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Dwarkesh Podcast

Dwarkesh Podcast

Auteur(s): Dwarkesh Patel
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Deeply researched interviews

www.dwarkesh.comDwarkesh Patel
Science
Épisodes
  • Satya Nadella — How Microsoft is preparing for AGI
    Nov 12 2025

    As part of this interview, Satya Nadella gave Dylan Patel (founder of SemiAnalysis) and me an exclusive first-look at their brand-new Fairwater 2 datacenter.

    Microsoft is building multiple Fairwaters, each of which has hundreds of thousands of GB200s & GB300s. Between all these interconnected buildings, they’ll have over 2 GW of total capacity. Just to give a frame of reference, even a single one of these Fairwater buildings is more powerful than any other AI datacenter that currently exists.

    Satya then answered a bunch of questions about how Microsoft is preparing for AGI across all layers of the stack.

    Watch on YouTube; read the transcript.

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    To sponsor a future episode, visit dwarkesh.com/advertise.

    Timestamps

    (00:00:00) - Tour through Fairwater 2

    (00:03:20) - Business models for AGI

    (00:12:48) - Copilot

    (00:20:02) - Whose margins will expand most?

    (00:36:17) - MAI

    (00:47:47) - The hyperscale business

    (01:02:44) - In-house chip & OpenAI partnership

    (01:09:35) - The CAPEX explosion

    (01:15:07) - Will the world trust US companies to lead AI?



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    1 h et 28 min
  • Sarah Paine – How Russia sabotaged China's rise
    Oct 31 2025

    In this lecture, military historian Sarah Paine explains how Russia—and specifically Stalin—completely derailed China’s rise, slowing them down for over a century.

    This lecture was particularly interesting to me because, in my opinion, the Chinese Civil War is 1 of the top 3 most important events of the 20th century. And to understand why it transpired as it did, you need to understand Stalin’s role in the whole thing.

    Watch on YouTube; read the transcript.

    Sponsors

    Mercury helps you run your business better. It’s the banking platform we use for the podcast — we love that we can see our cash balance, AR, and AP all in one place. Join us (and over 200,000 other entrepreneurs) at mercury.com

    Labelbox scrutinizes public benchmarks at the single data-row level to probe what’s really being evaluated. Using this knowledge, they can generate custom training data for hill climbing existing benchmarks, or design new benchmarks from scratch. Learn more at labelbox.com/dwarkesh

    To sponsor a future episode, visit dwarkesh.com/advertise.

    Timestamps

    (00:00:00) – How Russia took advantage of China’s weakness

    (00:22:58) – After Stalin, China’s rise

    (00:33:52) – Russian imperialism

    (00:45:23) – China’s and Russia’s existential problems

    (01:04:55) – Q&A: Sino-Soviet Split

    (01:22:44) – Stalin’s lessons from WW2



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    1 h et 31 min
  • Andrej Karpathy — AGI is still a decade away
    Oct 17 2025

    The Andrej Karpathy episode.

    During this interview, Andrej explains why reinforcement learning is terrible (but everything else is much worse), why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education.

    It was a pleasure chatting with him.

    Watch on YouTube; read the transcript.

    Sponsors

    * Labelbox helps you get data that is more detailed, more accurate, and higher signal than you could get by default, no matter your domain or training paradigm. Reach out today at labelbox.com/dwarkesh

    * Mercury helps you run your business better. It’s the banking platform we use for the podcast — we love that we can see our accounts, cash flows, AR, and AP all in one place. Apply online in minutes at mercury.com

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    Timestamps

    (00:00:00) – AGI is still a decade away

    (00:29:45) – LLM cognitive deficits

    (00:40:05) – RL is terrible

    (00:49:38) – How do humans learn?

    (01:06:25) – AGI will blend into 2% GDP growth

    (01:17:36) – ASI

    (01:32:50) – Evolution of intelligence & culture

    (01:42:55) - Why self driving took so long

    (01:56:20) - Future of education



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    2 h et 25 min
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