Dwarkesh Podcast – Détails, épisodes et analyse

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

Jacob Kimmel thinks he can find the transcription factors to reverse aging. We do a deep dive on why this might be plausible and why evolution hasn’t optimized for longevity. We also talk about why drug discovery has been getting exponentially harder, and what a new platform for biological understanding to speed up progress would look like. As a bonus, we get into the nitty gritty of gene delivery and Jacob’s controversial takes on CAR-T cells. For full disclosure, I am an angel investor in NewLimit. This did not impact my decision to interview Jacob, nor the questions I asked him.

Watch on YouTube; listen on Apple Podcasts or Spotify.

SPONSORS

* Hudson River Trading uses deep learning to tackle one of the world's most complex systems: global capital allocation. They have a massive in-house GPU cluster, and they’re constantly adding new racks of B200s to ensure their researchers are never constrained by compute. Explore opportunities at hudsonrivertrading.com/dwarkesh\

* Google’s Gemini CLI turns ideas into working applications FAST, no coding required. It built a complete podcast post-production tool in 10 minutes, including fully functional backend logic, and the entire build used less than 10% of Gemini’s session context. Check it out on Github now!

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

TIMESTAMPS

(00:00:00) – Three reasons evolution didn’t optimize for longevity

(00:12:07) – Why didn't humans evolve their own antibiotics?

(00:25:26) – De-aging cells via epigenetic reprogramming

(00:44:43) – Viral vectors and other delivery mechanisms

(01:06:22) – Synthetic transcription factors

(01:09:31) – Can virtual cells break Eroom’s Law?

(01:31:32) – Economic models for pharma

On this episode, I chat with Victor Shih about all things China. We discuss China’s massive local debt crisis, the CCP’s views on AI, what happens after Xi, and more.

Victor Shih is an expert on the Chinese political system, as well as their banking and fiscal policies, and he has amassed more biographical data on the Chinese elite than anyone else in the world. He teaches at UC San Diego, where he also directs the 21st Century China Center.

Watch on YouTube; listen on Apple Podcasts or Spotify.

Sponsors

* Scale is building the infrastructure for smarter, safer AI. In addition to their Data Foundry, they just released Scale Evaluation, a tool that diagnoses model limitations. Learn how Scale can help you push the frontier at scale.com/dwarkesh.

* WorkOS is how top AI companies ship critical enterprise features without burning months of engineering time. If you need features like SSO, audit logs, or user provisioning, head to workos.com.

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

Timestamps

(00:00:00) – Is China more decentralized than the US?

(00:03:16) – How the Politburo Standing Committee makes decisions

(00:21:07) – Xi’s right hand man in charge of AGI

(00:35:37) – DeepSeek was trained to track CCP policy

(00:45:35) – Local government debt crisis

(00:50:00) – BYD, CATL, & financial repression

(00:58:12) – How corruption leads to overbuilding

(01:10:46) – Probability of Taiwan invasion

(01:18:56) – Succession after Xi

(01:25:10) – Future growth forecasts

Jason Crawford writes at The Roots of Progress about the history of technology and industry and the philosophy of progress.  

Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. 

Podcast website here.

Follow Jason on Twitter. Follow me on Twitter for updates on future episodes.

Jason's website: https://jasoncrawford.org/ 

The Roots of Progress: https://rootsofprogress.org/  

Matjaž Leonardis has co-written a paper with David Deutsch about the Popper-Miller Theorem. In this episode, we talk about that as well as the dangers of the scientific identity, the nature of scientific progress, and advice for young people who want to be polymaths.  

Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform.

Podcast website here.

Follow Matjaž's excellent Twitter. Follow me on Twitter for updates on future episodes!

Tyler Cowen is Holbert L. Harris Professor of Economics at George Mason University and also Director of the Mercatus Center.

Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform.

Transcript + Podcast website here.

Follow Tyler Cowen on Twitter. Follow me on Twitter for updates on future episodes.

Timestamps

(0:00) - The Great Reset 

(2:58) - Growth and the cyclical view of history 

(4:00) - Time horizons, growth, and sustainability 

(5:30) - Space travel 

(8:11) - WMDs and end of humanity 

(10:57) - Common sense morality 

(12:20) - China and authoritarianism 

(13:45) - Are big businesses complacent?

(17:15) - Online education vs university 

(20:45) - Aesthetic decline in West Virginia 

(23:20) - Advice for young people 

(25:18) - Mentors 

(27:15) - Identifying talent 

(29:50) - Can adults change? 

(31:45) - Capacity to change men vs women 

(33:10 ) - Are effeminate societies better? 

(35:15) - Conservatives and progress 

(36:50) - Biggest mistake in history 

(39:05) - Nuke in my lifetime 

(40:35) - Age and learning 

(42:45) - Pessimistic future 

(43:50) - Optimistic future 

(46:28) - Closing

Bryan Caplan is a Professor of Economics at George Mason University and a New York Times Bestselling author. His most famous works include: The Myth of the Rational Voter, Selfish Reasons to Have More Kids, The Case Against Education, and Open Borders: The Science and Ethics of Immigration.

I talk to Bryan about open borders, the idea trap, UBI, appeasement, China, the education system, and Bryan Caplan's next two books on poverty and housing regulation.

Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform.

Follow Bryan on Twitter. Follow me on Twitter for updates on future episodes.

New episode with my good friends Sholto Douglas & Trenton Bricken. Sholto focuses on scaling RL and Trenton researches mechanistic interpretability, both at Anthropic.

We talk through what’s changed in the last year of AI research; the new RL regime and how far it can scale; how to trace a model’s thoughts; and how countries, workers, and students should prepare for AGI.

See you next year for v3. Here’s last year’s episode, btw. Enjoy!

Watch on YouTube; listen on Apple Podcasts or Spotify.

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SPONSORS

* WorkOS ensures that AI companies like OpenAI and Anthropic don't have to spend engineering time building enterprise features like access controls or SSO. It’s not that they don't need these features; it's just that WorkOS gives them battle-tested APIs that they can use for auth, provisioning, and more. Start building today at workos.com.

* Scale is building the infrastructure for safer, smarter AI. Scale’s Data Foundry gives major AI labs access to high-quality data to fuel post-training, while their public leaderboards help assess model capabilities. They also just released Scale Evaluation, a new tool that diagnoses model limitations. If you’re an AI researcher or engineer, learn how Scale can help you push the frontier at scale.com/dwarkesh.

* Lighthouse is THE fastest immigration solution for the technology industry. They specialize in expert visas like the O-1A and EB-1A, and they’ve already helped companies like Cursor, Notion, and Replit navigate U.S. immigration. Explore which visa is right for you at lighthousehq.com/ref/Dwarkesh.

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

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TIMESTAMPS

(00:00:00) – How far can RL scale?

(00:16:27) – Is continual learning a key bottleneck?

(00:31:59) – Model self-awareness

(00:50:32) – Taste and slop

(01:00:51) – How soon to fully autonomous agents?

(01:15:17) – Neuralese

(01:18:55) – Inference compute will bottleneck AGI

(01:23:01) – DeepSeek algorithmic improvements

(01:37:42) – Why are LLMs ‘baby AGI’ but not AlphaZero?

(01:45:38) – Mech interp

(01:56:15) – How countries should prepare for AGI

(02:10:26) – Automating white collar work

(02:15:35) – Advice for students

Based on my essay about AI firms.

Huge thanks to Petr and his team for bringing this to life!

Watch on YouTube.

Thanks to Google for sponsoring. We used their Veo 2 model to make this entire video—it generated everything from the photorealistic humans to the claymation octopuses. If you’re a Gemini Advanced user, you can try Veo 2 now in the Gemini app. Just select Veo 2 in the dropdown, and type your video idea in the prompt bar. Get started today by going to gemini.google.com.

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

Zuck on:

* Llama 4, benchmark gaming

* Intelligence explosion, business models for AGI

* DeepSeek/China, export controls, & Trump

* Orion glasses, AI relationships, and preventing reward-hacking from our tech.

Watch on Youtube; listen on Apple Podcasts and Spotify.

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SPONSORS

* Scale is building the infrastructure for safer, smarter AI. Scale’s Data Foundry gives major AI labs access to high-quality data to fuel post-training, while their public leaderboards help assess model capabilities. They also just released Scale Evaluation, a new tool that diagnoses model limitations. If you’re an AI researcher or engineer, learn how Scale can help you push the frontier at scale.com/dwarkesh.

* WorkOS Radar protects your product against bots, fraud, and abuse. Radar uses 80+ signals to identify and block common threats and harmful behavior. Join companies like Cursor, Perplexity, and OpenAI that have eliminated costly free-tier abuse by visiting workos.com/radar.

* Lambda is THE cloud for AI developers, with over 50,000 NVIDIA GPUs ready to go for startups, enterprises, and hyperscalers. By focusing exclusively on AI, Lambda provides cost-effective compute supported by true experts, including a serverless API serving top open-source models like Llama 4 or DeepSeek V3-0324 without rate limits, and available for a free trial at lambda.ai/dwarkesh.

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

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TIMESTAMPS

(00:00:00) – How Llama 4 compares to other models

(00:11:34) – Intelligence explosion

(00:26:36) – AI friends, therapists & girlfriends

(00:35:10) – DeepSeek & China

(00:39:49) – Open source AI

(00:54:15) – Monetizing AGI

(00:58:32) – The role of a CEO

(01:02:04) – Is big tech aligning with Trump?

(01:07:10) – 100x productivity