Find shows
you love
Build your personal media library. Follow your favorite people, shows, and topics

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

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

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

From Broken Ankle to $100K Months — How Ted Stern Turned Police Work Into a Fitness Empire

Selects: Can movies be cursed?
First of all, movies can't be cursed because curses aren't real. However, that can't stop Josh and Chuck from taking a look at some movies throughout history that have had a disturbing number of bad things surrounding their production and release. Dive into the world of cursed movies in this very fun classic episode.
See omnystudio.com/listener for privacy information.

Trump Panics at Night as he Surrenders in War!!!

Spirit Airlines, The Book of Mormon, and Grunting
See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.
NPR Privacy Policy

Diary of a WNBA negotiator
Alysha is the oldest player in the league – and when she started she was making a yearly salary of about $36,400. The players flew economy, the rookies in middle seats. They doubled up in hotel rooms. The league was just starting out, wasn’t bringing in money, and, as Alysha says, “That's just what you got.”
Jump forward to 2025 and fans are crowding into stadiums, games are on primetime TV, and the WNBA has a 3.1 billion dollar media rights deal.
So when the players’ contract came up for renewal, they had a once in a generation opportunity to change the future for all of women’s basketball. Maybe all of women's sports. Today on the show, we hear Alysha’s minute by minute account of what it’s like to be a rookie doing high-stakes bargaining. It came right down to the buzzer.
Our book: Planet Money: A Guide to the Economic Forces That Shape Your Life is in stores now.
Subscribe to Planet Money+
Listen free: Apple Podcasts, Spotify, the NPR app or anywhere you get podcasts.
Facebook / Instagram / TikTok / Our weekly Newsletter.
This episode was produced by Emma Peaslee and Willa Rubin. It was edited by Marianne McCune. It was fact-checked by Vito Emanuel and engineered by Jimmy Keeley and James Willets. Alex Goldmark is our executive producer.
Music: NPR Source Audio - "Nights Like This," "Funk Dive," and "Tropical Heat"
See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.
NPR Privacy Policy

