Dwarkesh Podcast

Dwarkesh Patel
  • 5.0 (1)
  • 科技
  • 一周一更

Deeply researched interviews www.dwarkesh.com

  1. Andrej Karpathy — AGI is still a decade away

    23小时前

    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; listen on Apple Podcasts or Spotify. 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

    2 小时 25 分钟
  2. Nick Lane – Life as we know it is chemically inevitable

    10月10日

    Nick Lane – Life as we know it is chemically inevitable

    Nick Lane has some pretty wild ideas about the evolution of life. He thinks early life was continuous with the spontaneous chemistry of undersea hydrothermal vents. Nick’s story may be wrong, but I find it remarkable that with just that starting point, you can explain so much about why life is the way that it is — the things you’re supposed to just take as givens in biology class: * Why are there two sexes? Why sex at all? * Why are bacteria so simple despite being around for 4 billion years? Why is there so much shared structure between all eukaryotic cells despite the enormous morphological variety between animals, plants, fungi, and protists? * Why did the endosymbiosis event that led to eukaryotes happen only once, and in the particular way that it did? * Why is all life powered by proton gradients? Why does all life on Earth share not only the Krebs Cycle, but even the intermediate molecules like Acetyl-CoA? His theory implies that early life is almost chemically inevitable (potentially blooming on hundreds of millions of planets in the Milky Way alone), and that the real bottleneck is the complex eukaryotic cell. Watch on YouTube; listen on Apple Podcasts or Spotify. Sponsors * Gemini in Sheets lets you turn messy text into structured data. We used it to classify all our episodes by type and topic, no manual tagging required. If you’re a Google Workspace user, you can get started today at docs.google.com/spreadsheets/ * Labelbox has a massive network of domain experts (called Alignerrs) who help train AI models in a way that ensures they understand the world deeply, not superficially. These Alignerrs are true experts — one even tutored me in chemistry as I prepped for this episode. Learn more at labelbox.com/dwarkesh * Lighthouse helps frontier technology companies like Cursor and Physical Intelligence navigate the U.S. immigration system and hire top talent from around the world. Lighthouse handles everything, maximizing the probability of visa approval while minimizing the work you have to do. Learn more at lighthousehq.com/employers To sponsor a future episode, visit dwarkesh.com/advertise. Timestamps (00:00:00) – The singularity that unlocked complex life (00:08:26) – Early life continuous with Earth's geochemistry (00:23:36) – Eukaryotes are the great filter for intelligent life (00:42:16) – Mitochondria are the reason we have sex (01:08:12) – Are bioelectric fields linked to consciousness? Ref: 868329 Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    1 小时 20 分钟
  3. Some thoughts on the Sutton interview

    10月4日

    Some thoughts on the Sutton interview

    I have a much better understanding of Sutton’s perspective now. I wanted to reflect on it a bit. (00:00:00) - The steelman (00:02:42) - TLDR of my current thoughts (00:03:22) - Imitation learning is continuous with and complementary to RL (00:08:26) - Continual learning (00:10:31) - Concluding thoughts Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    12 分钟
  4. Richard Sutton – Father of RL thinks LLMs are a dead-end

    9月26日

    Richard Sutton – Father of RL thinks LLMs are a dead-end

    Richard Sutton is the father of reinforcement learning, winner of the 2024 Turing Award, and author of The Bitter Lesson. And he thinks LLMs are a dead end. After interviewing him, my steel man of Richard’s position is this: LLMs aren’t capable of learning on-the-job, so no matter how much we scale, we’ll need some new architecture to enable continual learning. And once we have it, we won’t need a special training phase — the agent will just learn on-the-fly — like all humans, and indeed, like all animals. This new paradigm will render our current approach with LLMs obsolete. In our interview, I did my best to represent the view that LLMs might function as the foundation on which experiential learning can happen… Some sparks flew. A big thanks to the Alberta Machine Intelligence Institute for inviting me up to Edmonton and for letting me use their studio and equipment. Enjoy! Watch on YouTube; listen on Apple Podcasts or Spotify. Sponsors * Labelbox makes it possible to train AI agents in hyperrealistic RL environments. With an experienced team of applied researchers and a massive network of subject-matter experts, Labelbox ensures your training reflects important, real-world nuance. Turn your demo projects into working systems at labelbox.com/dwarkesh * Gemini Deep Research is designed for thorough exploration of hard topics. For this episode, it helped me trace reinforcement learning from early policy gradients up to current-day methods, combining clear explanations with curated examples. Try it out yourself at gemini.google.com * Hudson River Trading doesn’t silo their teams. Instead, HRT researchers openly trade ideas and share strategy code in a mono-repo. This means you’re able to learn at incredible speed and your contributions have impact across the entire firm. Find open roles at hudsonrivertrading.com/dwarkesh Timestamps (00:00:00) – Are LLMs a dead-end? (00:13:04) – Do humans do imitation learning? (00:23:10) – The Era of Experience (00:33:39) – Current architectures generalize poorly out of distribution (00:41:29) – Surprises in the AI field (00:46:41) – Will The Bitter Lesson still apply post AGI? (00:53:48) – Succession to AIs Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    1 小时 6 分钟
  5. Fully autonomous robots are much closer than you think – Sergey Levine

    9月12日

    Fully autonomous robots are much closer than you think – Sergey Levine

    Sergey Levine, one of the world’s top robotics researchers and co-founder of Physical Intelligence, thinks we’re on the cusp of a “self-improvement flywheel” for general-purpose robots. His median estimate for when robots will be able to run households entirely autonomously? 2030. If Sergey’s right, the world 5 years from now will be an insanely different place than it is today. This conversation focuses on understanding how we get there: we dive into foundation models for robotics, and how we scale both the data and the hardware necessary to enable a full-blown robotics explosion. Watch on YouTube; listen on Apple Podcasts or Spotify. Sponsors * Labelbox provides high-quality robotics training data across a wide range of platforms and tasks. From simple object handling to complex workflows, Labelbox can get you the data you need to scale your robotics research. Learn more at labelbox.com/dwarkesh * Hudson River Trading uses cutting-edge ML and terabytes of historical market data to predict future prices. I got to try my hand at this fascinating prediction problem with help from one of HRT’s senior researchers. If you’re curious about how it all works, go to hudson-trading.com/dwarkesh * Gemini 2.5 Flash Image (aka nano banana) isn’t just for generating fun images — it’s also a powerful tool for restoring old photos and digitizing documents. Test it yourself in the Gemini App or in Google’s AI Studio: ai.studio/banana To sponsor a future episode, visit dwarkesh.com/advertise. Timestamps (00:00:00) – Timeline to widely deployed autonomous robots (00:17:25) – Why robotics will scale faster than self-driving cars (00:27:28) – How vision-language-action models work (00:45:37) – Changes needed for brainlike efficiency in robots (00:57:59) – Learning from simulation (01:09:18) – How much will robots speed up AI buildouts? (01:18:01) – If hardware’s the bottleneck, does China win by default? Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    1 小时 28 分钟
  6. How Hitler almost starved Britain – Sarah Paine

    9月5日

    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

    1 小时 35 分钟
  7. Evolution designed us to die fast; we can change that — Jacob Kimmel

    8月21日

    Evolution designed us to die fast; we can change that — Jacob Kimmel

    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 Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    1 小时 45 分钟
  8. China is killing the US on energy. Does that mean they’ll win AGI? — Casey Handmer

    8月15日

    China is killing the US on energy. Does that mean they’ll win AGI? — Casey Handmer

    How will we feed the 100s of GWs of extra energy demand that AI will create over the coming decade? On this episode, Casey Handmer (Caltech PhD, former NASA JPL, founder & CEO of Terraform Industries) walks me through how we can pull it off, and why he thinks a major part of this energy singularity will be powered by solar. His views are contrarian, but he came armed to defend them. Watch on YouTube; listen on Apple Podcasts or Spotify. SPONSORS - Lighthouse helps frontier technology companies like Cursor and Physical Intelligence navigate the U.S. immigration system and hire top talent from around the world. Lighthouse handles everything for you, maximizing the probability of visa approval while minimizing the work you have to do. Learn more at lighthousehq.com/employers - To sponsor a future episode, visit dwarkesh.com/advertise. TIMESTAMPS (00:00:00) – Why doesn’t China win by default? (00:08:28) – Why hyperscalers choose natural gas over solar (00:18:01) – Solar's astonishing learning rates (00:27:02) – How to build 50,000 acre solar-powered data centers (00:40:24) – Environmental regulations blocking clean energy (00:44:04) – Batteries replacing the grid (00:49:14) – GDP is broken, AGI's true value must be measured in total energy use (00:58:45) – Silicon wafers in space with one mind each Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    1 小时 8 分钟
查看全部 109 集

关于

Deeply researched interviews www.dwarkesh.com

信息

  • 创作者
    Dwarkesh Patel
  • 活跃年份
    2025年
  • 单集
    109
  • 分级
    儿童适宜
  • 版权
    © Dwarkesh Patel
  • 节目网站
    Dwarkesh Podcast

你可能还喜欢