Dwarkesh Patel
@dwarkesh_sp
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Host of @dwarkeshpodcast https://t.co/3SXlu7fy6N https://t.co/4DPAxODFYi https://t.co/hQfIWdM1Un
San Francisco
Joined December 2019
Boy do you guys have a lot of thoughts about the @RichardSSutton interview. I’ve been thinking about it myself. I have a better understanding of Sutton’s perspective now than I did during the interview itself. So I want to reflect on it a bit. Richard, apologies for any errors
.@RichardSSutton, father of reinforcement learning, doesn’t think LLMs are bitter-lesson-pilled. My steel man of Richard’s position: we need some new architecture to enable continual (on-the-job) learning. And if we have continual learning, we don't need a special training
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This is so good. @ATabarrok, @tylercowen, you have to publish these more often!
Attention inframarginal Marginal Revolution podcast listeners! @ATabarrok and @tylercowen are pleased to bring you an episode covering some of their favorite economic models: Spence on monopolies, Harberger on tax incidence, and Solow on growth. Per Spence (1975)—or was it
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This was great. 2 hours of Phil poking at leaky abstractions, like real GDP, productivity, tasks, effective compute, and even suffering. We should aspire to interrogate the models and claims we take for granted as well as Phil.
What are current economic models missing about AGI? How would we know if we were approaching explosive growth? Stanford economist Phil Trammell has been rigorously thinking about the intersection of economic theory and AI (incl. AGI) for over five years, long before the recent
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Nick Lane thinks that half of the 20 billion Earth-like planets in the Milky Way will spontaneously generate early organics like nucleotides and amino acids. Because the chemistry which leads to their formation is so favored. But then where are all the aliens? The bottleneck to
Why do eukaryotes have sex? And why 2 sexes in particular? Nick Lane thinks this again can be explained by (you guessed it) mitochondria. First, why sex? Solves two problems: - Muller's ratchet: since almost any random mutation will be deleterious, variation via mutation
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The highest praise of all - immediately sending a copy to my mum
What is intelligence? What will it take to create AGI? What happens once we succeed? The Scaling Era: An Oral History of AI, 2019–2025 by @dwarkesh_sp and @g_leech_ explores the questions animating those at the frontier of AI research. It’s out today: https://t.co/6GzEZyaggR
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Stripe Press sent me a nice gift today, thank you @_TamaraWinter and congrats to @dwarkesh_sp! a very impressive artifact
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Self-recommending!
What is intelligence? What will it take to create AGI? What happens once we succeed? The Scaling Era: An Oral History of AI, 2019–2025 by @dwarkesh_sp and @g_leech_ explores the questions animating those at the frontier of AI research. It’s out today: https://t.co/6GzEZyaggR
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Driving around (where else?) SF dropping off some ✨special packages ✨. Favorite stop so far:
The Scaling Era, by the brilliant @dwarkesh_sp with @g_leech_, and edited by @rebeccahiscott, is out today: https://t.co/ylTZn2VaMn Since we announced this book, the question we’ve gotten most is ‘why now?’
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Btw the audiobook stitches together snippets from the actual interviews. Makes for a really cool listening experience.
What is intelligence? What will it take to create AGI? What happens once we succeed? The Scaling Era: An Oral History of AI, 2019–2025 by @dwarkesh_sp and @g_leech_ explores the questions animating those at the frontier of AI research. It’s out today: https://t.co/6GzEZyaggR
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If you've learned a tremendous amount from @dwarkesh_sp's interviews like me, you will be amazed at the value of revisiting them in this book. It's the perfect way to introduce a friend to most important trends in AI, or revisit some of the best conversations about it.
What is intelligence? What will it take to create AGI? What happens once we succeed? The Scaling Era: An Oral History of AI, 2019–2025 by @dwarkesh_sp and @g_leech_ explores the questions animating those at the frontier of AI research. It’s out today: https://t.co/6GzEZyaggR
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Is there a good write up of why self driving cars took a decade+ from working demo rides to deployed at scale?
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One of the reasons I like this book is because it is unapologetically written for the aspirational reader. It is dense with footnotes. If you want to understand AI, but don't have a deep background in it, this book will give you as much back as you put in. Highly recommend.
What is intelligence? What will it take to create AGI? What happens once we succeed? The Scaling Era: An Oral History of AI, 2019–2025 by @dwarkesh_sp and @g_leech_ explores the questions animating those at the frontier of AI research. It’s out today: https://t.co/6GzEZyaggR
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The Scaling Era is out today. I'm actually surprised with how well this format works. Even better than my expectations. It's so interesting to read side-by-side how hyperscalar CEOs, AI researchers, and economists will answer the same question. Thank you to the @stripepress
I'm so pleased to present a new book with @stripepress: "The Scaling Era: An Oral History of AI, 2019-2025." Over the last few years, I interviewed the key people thinking about AI: scientists, CEOs, economists, philosophers. This book curates and organizes the highlights across
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@beforeasi @dwarkesh_sp Yeah, I misspoke there. I meant to say that I don’t think learning is about *training*. Learning is something that the agent does, whereas training is something done to it.
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Some thoughts on the Sutton interview
.@RichardSSutton, father of reinforcement learning, doesn’t think LLMs are bitter-lesson-pilled. My steel man of Richard’s position: we need some new architecture to enable continual (on-the-job) learning. And if we have continual learning, we don't need a special training
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