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Andrej Karpathy — AGI is still a decade away
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
* Google’s Veo 3.1 update is a notable improvement to an already great model. Veo 3.1’s generations are more coherent and the audio is even higher-quality. If you have a Google AI Pro or Ultra plan, you can try it in Gemini today by visiting https://gemini.google
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
Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
Satya Nadella — How Microsoft is preparing for AGI
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.
Sponsors
* Labelbox produces high-quality data at massive scale, powering any capability you want your model to have. Whether you’re building a voice agent, a coding assistant, or a robotics model, Labelbox gets you the exact data you need, fast. Reach out at labelbox.com/dwarkesh
* CodeRabbit automatically reviews and summarizes PRs so you can understand changes and catch bugs in half the time. This is helpful whether you’re coding solo, collaborating with agents, or leading a full team. To learn how CodeRabbit integrates directly into your workflow, go to coderabbit.ai
To sponsor a future episode, visit dwarkesh.com/advertise.
Timestamps
(00:00:00) - 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?
Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
How Hitler almost starved Britain – Sarah Paine
In this lecture, military historian Sarah Paine explains how Britain used sea control, peripheral campaigns, and alliances to defeat Nazi Germany during WWII. She then applies this framework to today, arguing that Russia and China are similarly constrained by their geography, making them vulnerable in any conflict with maritime powers (like the U.S. and its allies).
Watch on YouTube; listen on Apple Podcasts or Spotify.
Sponsors
* Labelbox partners with researchers to scope, generate, and deliver the exact data frontier models need, no matter the domain. Whether that’s multi-turn audio, SOTA robotics data, advanced STEM problem sets, or even novel RL environments, Labelbox delivers high-quality data, fast. Learn more at labelbox.com/dwarkesh
* Warp is the best interface I’ve found for coding with agents. It makes building custom tools easy: Warp’s UI helps you understand agent behavior and its in-line text editor is great for making tweaks. You can try Warp for free, or, for a limited time, use code DWARKESH to get Warp’s Pro Plan for only $5. Go to warp.dev/dwarkesh
To sponsor a future episode, visit dwarkesh.com/advertise.
Timestamps
00:00:00 – How WW1 shaped WW2
00:15:10 – Hitler and Churchill’s battle to command the Atlantic
00:30:10 – Peripheral theaters leading up to Normandy
00:37:13 – The Eastern front
00:48:04 – Russia’s & China’s geographic prisons
01:00:28 – Hitler’s blunders & America’s industrial might
01:15:03 – Bismarck’s limited wars vs Hitler’s total war
Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
From Broken Ankle to $100K Months — How Ted Stern Turned Police Work Into a Fitness Empire
The Sporting Class: Affairs, Private Eyes and the All-Seeing Eye
What are the business ethics of sh*tting where you eat? Can you be a journalist and an "insider" at the same time? And what happened after the Knicks' owner doxxed the man threatening his arena's beer? David Samson — the Marie Kondo of sports infidelity and the watchful eye of Florida baseball — helps Pablo decode the messy stories of Dianna Russini and Mike Vrabel... and James Dolan versus his enemies.
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(Pablo Torre Finds Out is independently produced by Meadowlark Media and distributed by The Athletic. The views, research and reporting expressed in this episode are solely those of Pablo Torre Finds Out and do not reflect the work or editorial input of The Athletic or its journalists.)
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MeidasTouch Full Podcast - 4/24/26
Stewart Brand, Silicon Valley’s Favorite Prophet, on Life’s Most Important Principle
