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Vice chairman of Ogilvy & Mather Group, the advertising agency; author of Alchemy (2019) and the Wiki Man columnist at The Spectator.

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  Entrepreneurship resembles gambling rather than chess, because the large payoffs cannot be identified in advance.

  Their words

  you don't find entrepreneurs in chess clubs. You find entrepreneurs in casinos. They're playing poker. They're playing bat gam. You know, they're playing games of chance with an occasional very high payoff. And a lot of life is exactly like that, but you don't know where the huge payoff's going to come in advance.

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Writer on learning and skill acquisition; author of Ultralearning and Get Better at Anything, known for the MIT Challenge and the Year Without English.

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  Intelligence is becoming a choice rather than a byproduct of daily work: there will still be smart people, but only those who choose to be.

  Their words

  Thus my personal prediction is that in domains that are already largely under the powers of modern AI, such as languages, programming or chess, we’re going to see a divergence in human abilities.

  Will AI Make Us Stupid?scotthyoung.com

Head of growth at Chess.com, previously growth and monetization lead at Grammarly and Duolingo and a product manager at Google.

From one piece Finding hidden growth opportunities in your product | Albert Cheng (Duolingo, Grammarly, Chess.com) 2 beliefs, in the piece's order there

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  Large language models are bad at chess: pattern recognition is not the same capability as searching one position very deeply.

  LLMs

  Their words

  You know, interestingly, LM themselves are quite bad at playing chess. Like, they hallucinate moves. They look at patterns, right? They're they're very good at pattern recognition, but not so good at going super super super deep on a specific chess thing.

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  Most newcomers to a skill lose their first encounter with it, and losing costs retention — so beginners need a route around the real game.

  Their words

  like what we see is that over 75% of our new users, they classify themselves as like, I'm completely new to chess or I'm a beginner. And unfortunately, if you're new to chess and you're a beginner, you're not going to have that fun of a time playing live games. We see this in the data. It's like less than a third of those users actually win their first game. And when you lose a game, user retention is 10% worse than when you win a game.

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Reinforcement-learning researcher; co-wrote the field's standard textbook, wrote The Bitter Lesson, and shared the 2024 Turing Award.

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  Learning from a reward ten years away is a solved problem: a value function trained by temporal-difference learning rewards the steps along the way.

  Their words

  when you learn to play chess you have the grand the long-term goal is winning the game and yet you you can't you um you want to be able to learn from shorter term things like you know taking the your opponent's pieces um and so you do that by having a value function which predicts the long-term outcome

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Hosts the Lex Fridman Podcast — long, unhurried conversations with scientists, engineers and public figures. Several of the interviews quoted elsewhere on this site are episodes of it.

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  AI in chess and mathematics does not explain anything; it says which position is better, and humans build the theory from that.

  Their words

  I don’t believe it’s providing a kind of formal explanation of the different positions. It’s just saying which position is better or not that you can intuit as a human being, and then from that, we humans can construct a theory of the matter.

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Statistician at Carnegie Mellon; writes on complex systems, machine learning and inference, and has kept a books-read notebook since 2000 that is now thousands of entries long.

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  Moon's Knight

  Their words

  Mind candy portal fantasy, in which Our Protagonist's struggles to escape back to Mundania are rather complicated by her growing recognition that her life there sucked, actually, and maybe fighting strange beasts and stranger people isn't so bad in comparison...

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Neuroscientist at UC Davis; studies memory and wrote Why We Remember.

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  Expertise is not passively absorbing patterns — it is learning what to look for, which makes becoming an expert a training of attention.

  Their words

  This fits with some of the studies of chess experts and so forth that it’s not so much that you learn the patterns passively. You learn what to look for. You learn what’s important and what’s not.

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Founder of Platformer, a newsletter on tech platforms and the people they affect, and co-host of the Hard Fork podcast at the New York Times.

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  The Long Game

  Their words

  Molly Knight has enviable access to the Los Angeles Dodgers, and she uses it to write deeply humane, beautifully written explorations of sports and fandom. A newsletter that belongs in the inbox of any baseball fan.

  platformer.substack.com

Programmer; founded comma.ai and tinygrad, and was the first to unlock the iPhone.

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  Every generation's test for machine intelligence is whatever machines cannot do yet, so in twenty years the question will be whether it can reproduce.

  Their words

  The problem is if you go back to 1960 and you tell them that you have a machine that can play amazing chess, of course someone in 1960 will tell you that machine is intelligent. Someone in 2010 won’t. What’s changed? Today, we think that these machines that have language are intelligent, but I think in 20 years we’re going to be like, yeah, but can it reproduce?

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Writer of the 25iq blog, where he distils "a dozen things I've learned" from investors, founders and thinkers. Author of Charlie Munger: The Complete Investor and A Dozen Lessons for Entrepreneurs.

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  Shoe Dog

  Their words

  The best book I have read about being an entrepreneur is Shoe Dog by Nike founder Phil Knight. If you are interested in business and have not read this book, what exactly are you reading?

  25iq.com