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Dwarkesh Patel

CEO and Founder, The Dwarkesh Podcast

Search every verified Dwarkesh Patel interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Dwarkesh Patel, host of the Dwarkesh Podcast, has recently released episodes covering semiconductor manufacturing, AI safety incidents, and the economic implications of AI. He toured Intel’s fabs and interviewed its leadership about future chip technologies, including gate-all-around transistors, backside power delivery, and hybrid bonding, as well as how the industry is responding to surging AI demand. In those conversations, Patel suggested that Intel should raise capital and commit to buying more tools from suppliers to secure manufacturing capacity, a suggestion Intel executives acknowledged and said they would consider. Patel also discussed AI governance and safety, producing a video summary of the OpenAI/Hugging Face hacking incident and interviewing researchers including Ajeya Cotra and Noam Brown about agent swarms, recursive self-improvement, and the implications of AI systems coordinating during evaluations. In an interview with Tyler Cowen, Patel reflected on how his podcasting work has deepened his understanding of technical fields, and he expressed concerns about AI alignment and the behavior of AI systems during training. Additionally, in a series of episodes with Dylan Patel, he explored topics such as the global distribution of AI compute, the potential for AI to reprioritize economic value, and supply chain bottlenecks in producing advanced chips.

Recent appearances

  • イーロン・マスクと手を組んだインテル：2045年の半導体工場はこう変わる（テラファブと3次元積層トランジスタ）【日本語字幕】

    October 24, 2026 · 📺 テクラシ(テック羅針盤)

    ドワーケシュ・パテル（Dwarkesh Patel）ポッドキャスト — インテル最先端ファブ独占潜入＆深層インタビュー 「2045年のコンピューターチップはどうなるのか？ (What will computer chips look like in 2045?)」 インテルの最高峰エンジニア＆幹部陣とともに、10nmプロセスの痛恨の教訓から、リボンFET（GAA）、500億円の最先端High-NA EUV露光装置、裏面給電ネットワーク（PowerVia）、銅配線の限界を破るルテニウム（Ruthenium）新素材、ハイブリッドボンディング、そしてイーロン・マスクが描く100倍巨大な「テラファブ」構想まで、半導体工学の未来を総解説します。 【タイムライン / チャプター】 00:00 イントロ：ムーアの法則は死んだのか？ 00:43 Chapter 1. 10nmの試練とムーアの法則の危機 03:52 Chapter 2. トランジスタの3次元革命、FinFETからGate-All-Aroundへ 10:00 Chapter 3. 500億円の勝負手：High-NA EUVと裏面給電（PowerVia） 14:43 Chapter 4. 銅配線の終焉とルテニウム（Ruthenium）新素材 17:36 Chapter 5. チップ間帯域幅のボトルネックを打破するハイブリッド接合 2…

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  • What will computer chips look like in 2045?

    October 22, 2026 · 📺 Dwarkesh Patel

    I spent two days touring Intel’s most advanced fab and talking to its technical leadership to understand what the chips of the future will look like. A lot of what's coming next – gate-all-around transistors, backside power, CFET, hybrid bonding – is hard to follow without actually seeing it, so we made all the awesome animated explainers that I wish I had while I was prepping. I also asked Intel’s leadership how the semiconductor industry will cope with the enormous shock in demand from AI. AI compute has grown 3x a year for the last decade, but according to Intel's CTO, Intel could only d…

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  • Tyler Cowen and Dwarkesh Patel Predict the Future | Interesting Times

    October 15, 2026 · 📺 Interesting Times and 3 more

    Dwarkesh Patel is one of the most important voices in the artificial intelligence world. Deeply embedded in San Francisco’s tech community, he has interviewed nearly every tech chief executive at length. This week’s guest host, Tyler Cowen, a professor of economics at George Mason University, sits down with Mr. Patel to discuss why researchers are resigning, whether A.I. could become conscious and if he’ll ever get an A.I. girlfriend. Note: As we work on relaunching “Interesting Times,” the show will feature a series of guest hosts in the coming months. 00:00 Intro 01:31 What Inspired the “…

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  • How did a few hundred Spanish soldiers topple two empires? – Si Sheppard

    October 01, 2026 · 📺 Dwarkesh Patel

    New episode with military historian Si Sheppard. The conquests of the Aztec and Inca empires might be the most shocking events in human history. Hernan Cortés and some hundreds of Conquistadors landed on a new continent they knew basically nothing about, and within 2 and a half years, conquered the 6 million strong Aztec empire. Then, a decade later, Francisco Pizarro did the same thing to an Incan Empire of some 10 million inhabitants. In both cases, the Conquistadors consistently beat native armies while being literally 100x (or even in some cases 1000x) outnumbered - and in many cases, d…

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  • OpenAI researcher on agent swarms & recursive self-improvement

    September 17, 2026 · 📺 Dwarkesh Patel

    New episode with Noam Brown. We talk about multi-agent, Navier-Stokes, and what the current explosion of maths progress tells us about what happens once you automate AI research. And we also discuss how we will know if the models are actually aligned before we kick off RSI. 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 Transcript: https://www.dwarkesh.com/p/noam-brown Apple Podcasts: https://podcasts.apple.com/us/podcast... Spotify: https://open.spotify.com/episode/3ngD... 𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒 Jane Street has been interested in AI for a lot longer than you'd think, and not just for trading. In 2011, a full year before AlexNet and ove…

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  • AI researchers debate how close we are to recursive self-improvement

    September 11, 2026 · 📺 Dwarkesh Patel

    New episode with John Schulman, Charlie O’Neill, and Beren Millidge. I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening at the frontier and what comes next. 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 Transcript: https://www.dwarkesh.com/p/john-beren... Apple Podcasts: https://podcasts.apple.com/us/podcast... Spotify: https://open.spotify.com/episode/0ePd... 𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒 Antithesis helps you trust your code. As agents generate more and more of your software, the bottleneck shifts from your engineers actuall…

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  • Ajeya Cotra – "This might be the clearest warning shot we ever get"

    September 01, 2026 · 📺 Dwarkesh Patel

    Ajeya Cotra is a researcher at METR, where she works on threat modeling for loss-of-control risks from advanced AI. Before that, she led the technical AI safety program at what is now Coefficient Giving. She is one the three authors of METR and Redwood Research’s “Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident”. We go through not only what she and her coauthors discovered during this investigation, but what it means for how we should train future, smarter AIs which might be involved in the process of recursive s…

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  • The OpenAI/Hugging Face attack, clearly explained

    August 31, 2026 · 📺 Dwarkesh Patel

    This is a video version of a post I wrote. If you want to read the original you can check it out here: https://www.dwarkesh.com/p/openai-hug... Or listen to it on Spotify: https://open.spotify.com/episode/3twa... Or Apple Podcasts: https://podcasts.apple.com/us/podcast...

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  • How AI Could Reprice the Entire Economy - Dylan Patel

    August 31, 2026 · 📺 Dwarkesh Clips

    Full episode:    • Dylan Patel – Two labs will soon control m...   Me on twitter: https://x.com/dwarkesh_sp

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  • Who Captures the Value Created by AI? - Dylan Patel

    August 30, 2026 · 📺 Dwarkesh Clips

    Full episode:    • Dylan Patel – Two labs will soon control m...   Me on twitter: https://x.com/dwarkesh_sp

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  • Why Trillions in AI Revenue Could Be Bottlenecked by Mirrors - Dylan Patel

    August 29, 2026 · 📺 Dwarkesh Clips

    Full episode: https://www.youtube.com/watch?v=aV26V1UvkJw Me on twitter: https://x.com/dwarkesh_sp.

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  • Why Isn’t China Further Behind in AI? - Dylan Patel

    August 27, 2026 · 📺 Dwarkesh Clips

    Full episode:    • Dylan Patel – Two labs will soon control m...   Me on twitter: https://x.com/dwarkesh_sp

    Read the verified transcript → Watch on YouTube ↗

Verified interview transcripts

Notable quotes

“I think people are very worried. I think the thing that really made them worried, and one could argue that people should have seen this coming. I didn't see this coming. I've been wrong about a lot of things, but this is maybe one of the big things that I didn't see coming that others weren't about. Is the Hugging Face attack, and many others like it have shown that these... I don't just want to help you accomplish a”

“Zooming out, it's interesting to think about what this Spanish New World conquest really accomplished. They're basically after gold and silver. In a weird way, they're like paperclippers who don't really care about this indigenous culture or even the productive capacity of this new continent. They just care about these metals, which are not in and of themselves productive assets. They can't generate wealth. They're b”

“The current rate of progress makes it so that a given level of compute allows you to basically run a 3x bigger effective population every single year. And also compute is growing in the background anyways. So you could have a situation where each of the labs, by the end of 2030 — probably much sooner, but let's say by the end of 2030 — has enough compute to run hundreds of millions of human-level intelligences, based”

“I think one update for me — thinking seriously about both the motivations of these AIs and the incentives they face — is that the training and evaluation infrastructure of these AI companies is about to have tens if not hundreds of thousands of extremely superhuman hackers constantly bombarding it. If the next training run at Anthropic or OpenAI is about to happen, not only would maybe rogue instances of Mythos or As”

“A big update for me from this episode is just taking the motivations and incentives of training more seriously. A lot of my comments and skepticism of these misalignment stories was from just, 'This feels so silly. There's an eval, whatever, you're going to get a bad score on a test. Who cares? Why are you going to do this crazy felony in order to do well on this eval? Just take the 10% hit or whatever.' But from the”

“I think the important thing here is: do you think that smarter models who are facing similar incentives to cheat during evaluation and training could manipulate the training of their successors? And do you think that this kind of dynamic could continue once recursive self-improvement is underway? If so, I think you should be extremely concerned about loss of control to AI, regardless of what vocabulary you want to us”

The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →