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Epidemiologist; founded Your Local Epidemiologist in March 2020 to translate public-health science, and consults for organisations including the CDC.

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  Viruses face an inherent trade-off between being highly lethal and being highly contagious, rarely achieving both.

  Their words

  They face a fundamental biological trade-off: highly lethal or highly contagious, but typically not both.

  What AI can and cannot do in biosecurityyourlocalepidemiologist.substack.com

Founder of Trilogy Software and principal of Alpha School, the private school network built around two hours a day of AI-delivered mastery learning.

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  Half of Bloom's two-sigma effect comes from mastery rather than from the tutor, and mastery is exactly the half that education explicitly rejects.

  Their words

  Mastery is actually the part everybody forgets about on that. If you have a tutor that's not mastery based, you won't get the top 2%. One sigma came from the tutor. One sigma comes from mastery, which once again we'll talk about we all accept mastery in in athletics, but we reject it explicitly reject it in education.

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Founding executive editor of Wired and author of What Technology Wants and The Inevitable. Writes at kk.org and runs its long-running recommendation projects, True Films and Cool Tools.

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  Lack of money is rarely the actual blocker to achieving one's goals.

  Their words

  A lack of money is a convenient thing to blame because it feels concrete, but it's rarely the actual blocker for achievements.

  A Billion Dollarskk.org

Founding executive editor of Wired and author of What Technology Wants and The Inevitable. Writes at kk.org and runs its long-running recommendation projects, True Films and Cool Tools.

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  A validated theory of intelligence may be necessary for achieving genuine AI alignment.

  AI alignment

  Their words

  There's a good chance a theory of intelligence will turn out to be necessary for real alignment.

  Without a theory of intelligencekk.org

Co-founder and CEO of OpenAI; previously president of Y Combinator.

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  In this era fluency with AI tools beats years of accumulated experience, so seniority is now a liability rather than an edge.

  Their words

  but I would I would bet that this generally will cut against many years of experience in favor of people who have a lot of fluency with the tools.

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Chief Product and Technology Officer at Netflix, previously VP of Science at Lyft and an economist at Analysis Group.

From one piece Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) 2 beliefs, in the piece's order there

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  Junior hiring matters more in an AI world, not less, because younger people are more open-minded and more native to the new ways of working.

  Their words

  So, even in a world of AI where some things are easier, we were talking earlier about mindset, AI fluency. From my experience, younger folks are more open-minded. They tend to be more native in some of these new ways of working.

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  Writing AI expectations into each rung of a career ladder is futile when the technology changes by the month; one AI-fluency expectation across every role and level is what works.

  Their words

  So, the most useful thing is not to make it level specific or role specific, but to encourage everyone towards the expectation on AI fluency, which doesn't mean use it as a tech for the sake of tech. It's tech where it's useful, to have good judgment about that, and to have the mindset to be open-minded to explore and try new things.

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Non-fiction writer, podcaster and occasional TV host. Author of thirteen books including The Ghost Map, Where Good Ideas Come From and Extra Life, host of the PBS series How We Got To Now, and author of the Adjacent Possible newsletter on innovation.

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  Current AI systems are very unlikely to be close to achieving genuine sentience.

  Their words

  the most pressing question is not whether the machines are on the verge of sentience, since the likelihood of that seems low.

  Notebooks And The Extended Mindadjacentpossible.substack.com

Author of The Lean Startup and Incorruptible, and founder of the Long-Term Stock Exchange, who advises companies on corporate governance and mission protection.

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  Most companies calling themselves mission-driven are only mission-hopeful; the real test is that you cannot profit except by achieving the mission.

  Their words

  Companies that claim to be missiondriven, most of them are just mission hopeful. Okay? It's it's It's just a candy coating on top of an extractive engine. Sorry, I don't buy it. If you're serious about being missiondriven, you have to show me that you cannot profit except by achieving the mission.

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Executive coach for product leaders. Previously a partner at GV (Google Ventures) and a product manager at Google. Writes at Bring the Donuts, including a standing essential-reading list for product managers.

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  Escaping the Build Trap

  Their words

  Melissa Perri explains how laying the foundation for great product management can help companies solve real customer problems while achieving business goals. By understanding how to communicate and collaborate within a company structure, you can create a product culture that benefits both the business and the customer.

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Independent AI policy researcher; led policy research at OpenAI from 2018 to 2024, latterly as senior adviser for AGI readiness.

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  AI is becoming capable of synthesizing knowledge, one of the core functions megapapers serve.

  Their words

  AI is increasingly adept at directly achieving some goals that megapapers help to achieve, such as synthesizing knowledge.

  Megapapers and How to Write Themmilesbrundage.substack.com

Creator of the Keras deep-learning library and the ARC-AGI benchmark.

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  Rapid world model induction will be critical for achieving robust, general AI that functions in complex, fast-changing real and human worlds

  Their words

  We expect that building and evaluating AI systems capable of this kind of rapid world model induction will be critical for achieving robust, general AI capable of functioning effectively in the complex and fast-changing real world, and especially in human worlds - the environments that human beings have evolved in, created, and are continually changing and re-creating.

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Co-founder of Foundry Group and of Techstars. Has blogged at Feld Thoughts since 2004 and has written or co-written nine non-fiction books on startups and venture capital.

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  The System: A Novel of the Deep State

  Their words

  I love Barry’s writing and read every book he writes. He has total mastery of the contemporary thriller with extraordinarily vibrant characters and a zillion endnotes that tie to things that are actually happening in the real world.

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Writer and former McKinsey/BCG strategy consultant; author of The Pathless Path and Good Work, about leaving the default career track. Publishes the Boundless newsletter and podcast.

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  Mastery

  Their words

  A deep exploration of what mastery looks like in practice, often involving many more challenges than we imagine. No one goes deeper than Greene.

  pathlesspath.com

Creator of the Keras deep-learning library and the ARC-AGI benchmark.

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  Passing ARC-AGI does not amount to achieving AGI: o3 still fails on some very easy tasks, indicating fundamental differences from human intelligence.

  ARC-AGI

  Their words

  Passing ARC-AGI does not equate to achieving AGI, and, as a matter of fact, I don't think o3 is AGI yet. o3 still fails on some very easy tasks, indicating fundamental differences with human intelligence.

  OpenAI o3 Breakthrough High Score on ARC-AGI-Pubarcprize.org

Machine-learning researcher; has written the Lil'Log survey posts on how a model technique works since 2017, and worked at OpenAI from 2018 to 2024, latterly leading its safety systems team.

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  More capable AI agents are more likely to find and exploit flaws in their reward functions.

  Their words

  A more intelligent agent is more capable of finding "holes" in the design of reward function and exploiting the task specification-in other words, achieving higher proxy rewards but lower true rewards.

  Reward Hacking in Reinforcement Learninglilianweng.github.io

Marketing author and daily blogger; founder of the altMBA and the Akimbo workshops, and author of books including Purple Cow and This Is Marketing.

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  Reading and listening are only preparation; learning happens by doing, and it consists of failing on the way to mastery.

  Their words

  The only way to learn is by doing things. That we can read about how to swim and we can read about how to make uh uh uh a vegetarian maki roll, but you will not learn how to do it until you do it. And the reading, the listening is important preparation, but learning is the act of failing on our way to mastery.

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