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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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  One-to-one tutoring has always been the best way to teach anybody anything; the only reason schooling was never built that way is that it was not affordable.

  Their words

  Individualized tutoring is the best model. A one-on-one model is the best model. A mentorship model, an apprentice mentor, that is the best model. It's not cost-effective.

  youtube.com

Professor at Stanford working on robot learning and meta-learning; co-founded Physical Intelligence.

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  A robot going down a wrong path is not producing training data; the efficient move is for a human to intervene and show the recovery.

  Their words

  and trying to fold two boxes together isn't useful data that will teach the model how to get better at the task. And so that would be kind of wasting a lot of time on the robot attempting to go down the wrong path for solving the problem. And so instead of spending a lot of time trying to do that task, what we'll do is we'll actually have a human intervene and show the robot what to do and how to recover from that situation.

  youtube.com

Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.

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  The Little Schemer

  Their words

  The Little Schemer by Friedman and Felleisen. This book won't teach you Scheme. Rather, it teaches something more valuable: it teaches how to think recursively.

  adamtornhill.substack.com

Polyglot who speaks twenty languages and co-founded LingQ; argues that comprehensible input, not study, is what does the work.

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  Language classes are worth something for the company and the correction, but listening and reading are what actually teach the language.

  Their words

  Sure, language classes can provide social benefits and feedback. But the real means of learning a language is consistent, ample amounts of listening and reading.

  blog.thelinguist.com

Founder of HumanLayer; wrote 12-Factor Agents, on how to build AI agents that hold up in production.

From one piece Context engineering with Dex Horthy 2 beliefs, in the piece's order there

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  You can teach somebody to be a really good AI developer in a few months, but you cannot teach them a computer science degree in three — so hire for the fundamentals.

  Their words

  We can we can teach we can teach somebody, I think, to be a really good AI developer in a few months. You can build enough intuition where you are, you know, accelerated off the ground and you can go like keep growing there. It's really hard to teach someone a CS undergrad program in in 3 months.

  Context engineering with Dex Horthyyoutube.com

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  The engineering intuition that matters cannot be taught from a textbook — you know bad patterns in software because you have debugged them at three in the morning.

  Their words

  there's a different kind of intuition that you that you develop over years as a software engineer and uh there's many categories of it but the one I'll I'll call attention to that is like a thing that you cannot teach you cannot do you cannot learn in a textbook. The only way to learn it is like I know bad patterns in software because I have debugged them at three in the morning.

  Context engineering with Dex Horthyyoutube.com

AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).

From one piece Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention 2 beliefs, in the piece's order there

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  Larger language models already have enough capacity that extra per-layer embedding tricks add little benefit to them.

  Their words

  However, larger models already have sufficient capacity where these extra embeddings may not help that much.

  magazine.sebastianraschka.com

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  As reasoning models and agents retain more tokens for longer, KV-cache size and attention cost become the main constraint on scaling context.

  LLMs

  Their words

  As reasoning models and agent workflows keep more tokens around (for longer), KV-cache size, memory traffic, and attention cost quickly become the main constraints, and LLM developers are adding a growing number of architecture tricks to reduce those costs.

  magazine.sebastianraschka.com

Danish software engineer and Microsoft technical fellow, creator of Turbo Pascal and Delphi and lead architect of C# and TypeScript.

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  A compiler that also serves an IDE has to be lazy and deferred throughout — a different way of building compilers from the one the textbooks teach.

  Their words

  And so everything is lazy and deferred and functional and reusable inside the compiler. And it's a very different way of writing compilers than than what the textbooks will traditionally teach you.

  youtube.com

Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.

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  Keeping a codebase clean now pays off directly rather than aesthetically, because a coding agent will copy the patterns already in it almost exactly.

  Their words

  one of the magic tricks about these things is that they they're incredibly consistent. If you've got a code base with a bunch of patterns in, they will follow those patterns almost to a T.

  youtube.com

Programmer and essayist who has worked at Amazon, Google, Grab and Sourcegraph. Best known for the long-form essays collected as Stevey's Drunken Blog Rants and Stevey's Blog Rants.

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  Bigger is smarter, always: bringing your special domain knowledge to the model is the wrong side of the bitter lesson.

  Their words

  The bitter lesson is don't try to be smarter than the AI, okay? You think that you've got special knowledge. The humans bring special domain knowledge to this problem and we're going to teach it something to AI and it will be smarter. What we found was bigger is smarter. Always.

  From IDEs to AI Agents with Steve Yeggeyoutube.com

Co-founder and CEO of Anthropic; previously VP of research at OpenAI.

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  RL environments exist to make a model generalise, not to teach it each skill one at a time — exactly as pre-training does.

  Their words

  the goal is not to teach the model every possible skill within RL just as we don't do that within pre-training, right? Within pre-training, we're not trying to expose the model to, you know, every every possible you know, way that words could be put together, right? You know, we're it's it's rather that the model trains on a lot of things and then and then it reaches generalization across pre-training, right?

  youtube.com

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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  Thanks for the Feedback: The Science and Art of Receiving Feedback Well

  Their words

  Product managers must learn to give and receive feedback with candor and kindness, and without withholding. This book, also from the Harvard Negotiation Project, will teach you how.

  bringthedonuts.com

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  Creativity, Inc

  Their words

  , you’ll enjoy Catmull’s book about putting 10x into practice. He draws from the success – and failures – of Pixar to teach us how to lead creative teams.

  bringthedonuts.com

American author of Liar's Poker, Moneyball, The Big Short and The Undoing Project, and host of the podcast Against the Rules.

From one piece 10 Years of Acquired (with Michael Lewis) 2 beliefs, in the piece's order there

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  Good reporting is being the world's best student: gather everything before making judgments, and make people want to teach you.

  Their words

  You are gathering before you make judgments. You're open to learning things. You're trying to be the world's best student. You want people to want to teach you.

  10 Years of Acquired (with Michael Lewis)youtube.com

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  The job of a writer is to get the reader into a state of mind where they will follow you anywhere, including into subjects they never knew they wanted.

  Their words

  you grab the listener like I try to grab a reader and get them to the state of mind where they'll let you take them anywhere uh and teach them about stuff that they don't even know they want to learn about.

  10 Years of Acquired (with Michael Lewis)youtube.com

Co-founder of Sundial; former vice president of product design at Facebook; author of The Making of a Manager; writes The Looking Glass.

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  The most underused thing AI does is teach you: people reach for it to write their code and forget it can take them through a curriculum in an hour.

  Their words

  So yes, the tools are great. We can use cursor. It helps us. It autocompletes. It writes a bunch of things. But the acceleration of learning I think is another maybe underutilized tool in all of our arsenals

  youtube.com

Professor at Berkeley working on robot learning; co-founded Physical Intelligence, and argues that robots will learn from data rather than be programmed.

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  Once a robot is good enough, you can teach it with words instead of with demonstrations, and language becomes a training signal for motor skill.

  Their words

  Like now, like basically learning is not for these systems is not just learning from raw actions. It's also learning from words eventually be learning from observing what people do from the kind of natural feedback that you receive when you're doing a job together with somebody else.

  youtube.com

Co-founder of Microsoft and of the Gates Foundation. Writes Gates Notes on global health, energy and climate, and on whatever they have been reading.

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  How to Feed the World

  Their words

  How to Feed the World had a lot to teach me—and I’m sure it will teach you a lot, too.

  gatesnotes.com

Software engineer and a long-time technical lead of the Go programming language; author of plan9port and of the research.swtch.com essays.

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  Writing a technique down, however basic it seems, is the first step to making it usable by everyone.

  Their words

  But writing a trick down is the first step to making sure everyone can do it: magic tricks can be basic but not obvious.

  research.swtch.com

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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  Using supervised fine-tuning to teach a language model new knowledge risks increasing its hallucination rate.

  LLMs

  Their words

  These empirical results from Gekhman et al. (2024) point out the risk of using supervised fine-tuning for updating LLMs' knowledge.

  Extrinsic Hallucinations in LLMslilianweng.github.io

Language mentor and polyglot; teaches people to design their own learning method rather than follow a course.

From one piece About Me 2 beliefs, in the piece's order there

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  The thing worth teaching is not a language but how to learn languages, because that skill repeats for every language after it.

  Their words

  I don't teach people languages, I teach them how they can learn languages by themselves.

  About Melanguagementoring.com

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  Nobody can be taught a language by anyone else; a teacher can help, but the learning is the learner's to do.

  Their words

  I'm convinced that it's not possible to teach anyone a language. A good teacher can help you on this journey – but they cannot give the language to you on a silver platter.

  About Melanguagementoring.com

Theoretical physicist and philosopher, Homewood Professor of Natural Philosophy at Johns Hopkins and fractal faculty at the Santa Fe Institute. Writes the Preposterous Universe blog and hosts the Mindscape podcast.

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  The Copenhagen interpretation taught to physics students is a God-awful mess; many-worlds is beautiful because it needs fewer ingredients and one equation.

  Their words

  If you think about how we teach quantum mechanics to our students, the Copenhagen interpretation, it’s a God-awful mess. No one’s going to accuse that of being very beautiful. I’m a fan of the many-worlds interpretation of quantum mechanics, and that is very beautiful in the sense that fewer ingredients, just one equation, and it could cover everything in the world.

  youtube.com

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

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  The openness that matters is putting increasingly powerful tools into people's hands for free as a public good, not open-sourcing the weights.

  Their words

  We want to put increasingly powerful tools in the hands of people for free and get them to use them. I think that kind of open is really important to our mission. I think if you give people great tools and teach them to use them or don’t even teach them, they’ll figure it out, and let them go build an incredible future for each other with that, that’s a big deal.

  youtube.com

American author of The Obstacle Is the Way, Ego Is the Enemy and Stillness Is the Key. Writes the Reading List book-recommendation email (started 2008) and owns The Painted Porch bookstore in Bastrop, Texas. Hosts The Daily Stoic podcast.

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  The Greek Way

  Their words

  Edith Hamilton’s The Greek Way is a wonderful discussion of what made the Greeks so special, what they can teach us and how they thought about life.

  ryanholiday.net

Writer and artist, author of Steal Like an Artist; publishes a weekly newsletter and an annual list of the books he read.

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  The mediocre is the only thing worth avoiding: the best and the worst both teach you something, the middle teaches nothing.

  Their words

  What you want to avoid, I think, is mediocre writing, which neither thrills nor instructs.

  Read terrible books, tooaustinkleon.com

Deep-learning researcher and Turing Award laureate; founder of the Mila institute.

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  Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source.

  Their words

  At the same time, in order to reduce the probability of someone intentionally or unintentionally bringing about a rogue AI, we need to increase governance and we should consider limiting access to the large-scale generalist AI systems that could be weaponized, which would mean that the code and neural net parameters would not be shared in open-source and some of the important engineering tricks to make them work would not be shared either.

  FAQ on Catastrophic AI Risksyoshuabengio.org

Experimental psychologist and author of the blog Experimental History, on psychology, science reform and creativity.

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  Grading flattens whatever is taught into what can be tested, and teaches students to ignore everything else.

  Their words

  Evaluation forces me to flatten everything I teach into something that can be tested, and it encourages students to ignore everything that isn’t on the test.

  I wanted to be a teacher but they made me a copexperimental-history.com

Founder of Pinboard; writes Idle Words — talks and essays on the web, aviation, politics and travel.

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  The International Space Station exists mainly to teach its builders how to build another space station.

  Their words

  The ISS crew spend most of their time fixing the machinery that keeps them alive, and when they have a free moment for science, they tend to study the effect of space on themselves.

  Why Not Marsidlewords.com

Biologist at the MIT Media Lab; invented CRISPR gene drives and then spent years arguing for safeguards against their misuse and against engineered pandemics.

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  Research programmes that identify or create pandemic-capable viruses teach the world how to make them, and should stop.

  Their words

  But perhaps the biggest question of all isn’t being asked insistently enough: Why is anyone trying to teach the world how to make viruses that could kill millions of people?

  media.mit.edu

Founder and CEO of Get Lighthouse, a management-coaching software company, and previously a product lead at KISSmetrics. Writes about leadership, management and product at jasonevanish.com.

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  Own the Room: Business Presentations that Persuade, Engage, and Get Results

  Their words

  If you want one book to teach you everything you need to know about giving great presentations, this is the book. A film director, a psychologist, and an actor share their combined experiences to help improve your content, the design, your movements, and just about every other detail of being a great speaker. It was a slow start, but by the end, I had dog-eared dozens of pages and marked up many more which I was able to directly apply to a major talk I was working on.

  jasonevanish.com

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  You can't teach a kid to ride a bicycle at a seminar

  Their words

  Sales isn't easy to learn, especially when you have beginners luck and then hit a wall. This book, from the Sandler Sales Method, gives a good overview of the approach, and why it can be easier to sell when you first start, than once you get into it.

  jasonevanish.com

Writer and novelist. Publishes essays and book notes at nateliason.com; author of the novel Husk and of Crypto Confidential.

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  Salt, Fat, Acid, Heat

  Their words

  Such an incredible book on becoming a better chef, with little tricks and methods I use almost every day now. Plus the recipes in the back are delicious!

  nateliason.com

Mathematician and maker of the 3Blue1Brown YouTube channel, which explains mathematics through animation. Creator of the open-source Manim animation library and founder of the Summer of Math Exposition.

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  The Art Of Probability

  Their words

  Hamming was a practitioner, spending much of his career in Bell Labs, so unlike many books on probability, this stays grounded in the kind of intuitions that come up a lot in solving practical problems. It has countless helpful puzzles and problem-solving tricks which are organized in such a way as to give a sense of the deeper theory underlying probability and statistics.

  3blue1brown.com

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  The Cauchy-Schwarz Master Class

  Their words

  The strength of this book is the central role it places on problems. Its aim is to teach you about inequalities, which are the backbone of analysis. But it's all too easy to teach the statement of an inequality without conveying the intuition for when and how you'd use it. By focusing on well-chosen puzzles, this book does an admirable job circumventing that risk and leaving you with the feeling of having trained a skill, rather than having learned a list of facts.

  3blue1brown.com

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  Change Is the Only Constant: The Wisdom of Calculus in a Madcap World

  Their words

  I feel like Ben Orlin solved what was previously an unsolved problem with this book: Teach calculus in a way that is as enjoyable to those unfamiliar with the topic as it is to experts who use it every day. I, for one, was laughing from page 1.

  3blue1brown.com

American software engineer; worked on code-server at Coder and teaches TypeScript and open-source contribution. Publishes at joeprevite.com.

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  VS Code

  Their words

  I switched from Sublime to VS Code years ago and I can't see myself going back. I used to use the Sublime keybindings in VS Code. However, last year I switched to the Vim keybindings. It took some time to reach the same speed, but I would say I've surpassed my previous speed and added a few new tricks thanks to Vim.

  joeprevite.com

Co-founder, chairman and chief investment officer of Ritholtz Wealth Management. Hosts the Masters in Business podcast for Bloomberg and wrote How NOT to Invest.

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  Rockonomics: A Backstage Tour of What the Music Industry Can Teach Us about Economics and Life

  Their words

  Alan B. Krueger, Rockonomics: A Backstage Tour of What the Music Industry Can Teach Us about Economics and Life: From the economist who revealed the secrets of the minimum wage comes this look at the economics of the music industry. Its disruptions by technology to economics of songwriting and concert tours, the music industry offers important financial lessons. Kreuger, an economic rock star himself (he was former chairman of the president’s Council of Economic Advisers) left us far too soon.

  ritholtz.com

Co-founder and CEO of Stripe and co-founder of the Arc Institute. Keeps a personal site of reading lists, open questions and notes on scientific progress and how research is funded.

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  A large fraction of what the people around you believe is mistaken, and nobody is going to teach you to think for yourself.

  Their words

  More broadly, nobody is going to teach you to think for yourself. A large fraction of what people around you believe is mistaken. Internalize this and practice coming up with your own worldview.

  Advicepatrickcollison.com

Programmer; builds Mac and iOS apps, wrote WatermelonDB, and writes about tools, focus and software craft.

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  A Guide to the Good Life

  Their words

  Podcast (Part 2). A modern, approachable guide to Stoicism — a philosophy of life whose goal is to maximize the experience of tranquility. This is a seriously useful bag of psychological tricks.

  radex.io

Co-founder of AngelList. Writes and podcasts at nav.al in short, aphoristic pieces on startups, wealth and judgement rather than long essays.

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  Influence

  Their words

  Influence was fundamental and had a lot to teach.

  x.com

Programmer and writer on computer architecture, performance, and software reliability. He has worked on CPU design at Centaur Technology and on software at Google and Microsoft, and writes long-form technical essays at danluu.com.

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  Cracking the Coding Interview

  Their words

  I usually recommend this book to people who want to pass interviews but not really learn about algorithms. It has just enough to get by, but doesn't really teach you the why behind anything.

  danluu.com

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  The Algorithm Design Manual

  Their words

  The longer, more comprehensive, more practical, less math-y version of Dasgupta. It's similar in that it attempts to teach you how to identify problems, use the correct algorithm, and give a clear explanation of the algorithm.

  danluu.com