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Founder of the Free Software Movement and the GNU Project, original author of GNU Emacs and the GNU General Public License, and long-time president of the Free Software Foundation.

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  AI-developing companies cannot be trusted to protect the public from the dangers of their own systems

  Their words

  The systems are really dangerous, but we cannot trust the companies that develop them to protect us from them.

  Urgent: Raise the Wage Actstallman.org

Economist at George Mason University, co-author of Marginal Revolution, host of Conversations with Tyler. Writes in short, dense claims about economics, culture and AI, and has moved position on AI in public more than once.

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  Even well-informed AI insiders frequently develop something like "AI psychosis" from engaging with these ideas.

  Their words

  Though be very, very careful when speaking with others, whether it be the less informed public or the more informed insiders who often come down with AI psychosis.

  Anthropomorphizing AI?marginalrevolution.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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  Children develop by struggling and failing on the road to success while a caring adult supports them, and school should be running that loop all day instead of leaving it to after-school sports.

  Their words

  The key to developing a child is that they struggle and fail on their road to success supported by a caring adult. And you just want to run that loop.

  youtube.com

Economics writer; author of the Noahpinion newsletter.

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  Japan's loss of innovation is mostly a finance story: companies can no longer get the cheap plentiful bank loans they had in the 70s and 80s.

  Their words

  In the 70s and 80s, Japanese companies could get cheap plentiful bank loans to develop new products and explore new markets. Today, they can't. Innovation is downstream of finance.

  @Noahpinion on Xx.com

Creator of Ruby on Rails, CTO of 37signals, and creator of Omarchy.

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  Trying to anticipate what AI will look like two model releases from now is a waste of time and a route to AI psychosis.

  Their words

  Don't try to anticipate anything. You will literally go crazy. Because even the smartest brains in the business cannot anticipate what two model hops from here is going to look like. It's an absolute waste of time, and you will develop an AI psychosis trying to deduce what two years from now is gonna look like. Focus on right now, and right now is the most incredible time to be into computers.

  youtube.com

Engineer at Vercel Labs as of 2026. Ships a steady stream of small developer tools — agent-browser, portless, json-render, native-sdk, the v0 SDK — and lists every one of them at ctate.dev.

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  emulate

  Their words

  New: emulate a GitHub App in a few lines of TypeScript Generated App keys, installation auth and stateful repository APIs Develop locally, test in CI or give sandboxed agents their own isolated GitHub environment

  x.com

Programmer and teacher; writes on software, learning and the web, and makes the Coding Blocks video course.

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  The Design of Everyday Things

  Their words

  Must read not only for designers, but for software developers too, even if you develop backend exclusively. I wish everybody read it really.

  rakhim.org

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

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  Physical AI has to make far fewer mistakes than any AI deployed so far, because it is only useful when it acts autonomously on the world.

  Their words

  Uh and this means that they're going to be far more useful when they're operating fully autonomously. And as a result, this requires us to develop physical AI systems that make far fewer mistakes than the machine learning systems that have been deployed thus far.

  youtube.com

Founded PSPDFKit in 2011 and ran it for a decade. Came back from a break to work on AI agents — the OpenClaw project, and OpenAI, joined in February 2026. Writes at steipete.me.

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  Reviewing agent-written code is risk management rather than reading: how long the change took and how big it is tell you when to look closely.

  Their words

  Part of it is just like you develop a little bit of a feeling how long something should take. So if I do a small tweak that should like change how dragging works and it takes three hours, I know something's wrong. I'll look closely. But otherwise, part of code review is simply like observing, looking how big it changes and trusting your gut.

  Peter Steinberger: "Fun Is Velocity"youtube.com

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

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  Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop.

  Their words

  Coding isn't yet another application domain -- it's the meta-skill required for AI to automatically develop its own training material, via symbolic world models. That's how the RSI loop actually kicks off.

  @fchollet on Xx.com

Sequoia Professor of Computer Science at Stanford, co-director of the Stanford Institute for Human-Centered AI, and co-founder and CEO of World Labs.

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  The next frontier of AI lies beyond language, because intelligence in nature ran for 500 million years before words existed.

  Their words

  The next frontier of AI as I have been saying is beyond language because again humans develop first preverbally. evolution took, you know, 500 million years without verbal communication

  youtube.com

Professor of international affairs at Johns Hopkins SAIS and co-author, with Abraham Newman, of Underground Empire: How America Weaponized the World Economy.

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  AI-driven bureaucratic systems will develop their own internal politics and be gamed by the people subject to them.

  Their words

  (and it will be gamed - AI bureaucracies will absolutely have their own politics)

  The downside of robot solutionismprogrammablemutter.com

Short-story writer and novelist; won the Booker Prize for Lincoln in the Bardo, and teaches craft weekly in Story Club.

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  The only style worth having is the one you cannot help; setting out to develop a personal style is the wrong goal.

  Their words

  And that there might come a moment, while reading a new, just-edited-for-the-thousandth-time draft, where that true self, or voice, pops out at you, suddenly revealed, as if someone else, not you, had done it.

  On the Perils of Self-Assessing...georgesaunders.substack.com

Founder of Scale AI and, since 2025, Chief AI Officer at Meta, where he leads the company’s superintelligence lab.

From one piece Alexandr Wang: “This is a Once-in-a-Civilization Opportunity” 3 beliefs, in the piece's order there

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  A swarm of agents with the right loop and the right metric can already out-produce a team of a hundred engineers.

  Their words

  Like I think we've seen internally at Meta um cases where if you can develop the right agentic loop and you have the right eval or the right metric for the agents to optimize, you can have a swarm of agents accomplish more than like a team of 100 engineers in, you know, uh very very handily actually, very very easily.

  youtube.com

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  A founder who takes their bearings from what everyone around them is saying will end up nowhere; you have to build your own compass for what the future looks like.

  Their words

  you just you can't base your business decisions based on what everyone else is saying around you. Like, if you go too much with the herd, you will get immensely confused and you will end up nowhere. And so you have to develop your own compass of what you think the future is going to look like because everyone else will just confuse you.

  youtube.com

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  The only way to build something that matters is to develop conviction in a set of beliefs nobody else agrees with yet, long before they become consensus.

  Their words

  I think the the key thing is you need to develop conviction in a set of beliefs that nobody else um agrees with. Like, I think if you look at all the most successful companies in the world, um they were started at a time long before the sort of like core idea was popular.

  youtube.com

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

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  The single most valuable thing a founder can find is a belief they can hold with reason that the conventional wisdom says is wrong.

  Their words

  is find the things that you can develop like reasonable conviction in that people decide like the conventional wisdom is they're just wrong. And be okay with it taking a long time and having people be like very you know, very frustratingly wrong and dismissive.

  youtube.com

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

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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

Professor of psychology at UCLA, where he studies human memory, attention and cognitive ageing, and author of Better with Age: The Psychology of Successful Aging.

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  Believing that ageing goes well is itself protective: people with a positive attitude to ageing live longer and are less likely to develop dementia.

  Their words

  And actually, more recent research shows that those who have a positive attitude live longer, they're less likely to develop dementia.

  youtube.com

Co-founder of NVIDIA and, as of 2026, its chief executive; the company designs the GPUs most large AI models are trained on.

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  The install base is the single most important part of a computing architecture, and everything else about it is secondary.

  Their words

  They come to a computing platform because the install base is large. Because a developer, like anybody else, wants to develop software that reaches a lot of people. So, the install base is, in fact, the single most important part of an architecture.

  youtube.com

Founder and chief analyst of SemiAnalysis; reports on semiconductor supply chains, AI datacentre economics and what the chip export controls actually do.

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  Elon Musk can probably build the cleanroom for a million-wafer fab, but he cannot develop the process technology quickly, because that knowledge is accumulated rather than invented.

  Their words

  but I think he can build the uh clean room. It'll take a year or two. Maybe initially it won't be super fast, but then over time you'll get faster and faster at it. But then the really complex part is actually developing the process technology and building wafers. And I don't think he can develop that uh quickly. I think that has a lot of built-up knowledge.

  youtube.com

Programmer and designer who writes at tonsky.me; author of Fira Code, DataScript and AnyBar.

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  Native OS APIs are worse to develop against than web APIs, and platform vendors discourage native app development.

  Their words

  Native APIs are terrible to use, and OS vendors use everything in their power to make you not want to develop native apps for their platform.

  tonsky.me

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  He runs tests locally and pushes straight to main, DHH-style; there is no develop branch and main should always be shippable.

  Their words

  I even switched to local CI, you know, like DHH inspired where I don't care so much more about the CI on GitHub. We still have it. It's still, it still has a place, but I just run tests locally and if they work locally, I push to main.

  youtube.com

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  Local-first software will not become the dominant architecture, and that is an acceptable outcome.

  Their words

  Local-first is not going to win, but that's okay We'll explore the complexities of traditional stack (db-server-frontend), develop a theory of software evolution: which systems succeed and why.

  tonsky.me

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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  The Power of a Positive No: Save The Deal Save The Relationship and Still Say No

  Their words

  . Saying no gracefully and firmly is one of the most important skills for a product manager to develop. This is the classic guide for learning to do so.

  bringthedonuts.com

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  The 15 Commitments of Conscious Leadership

  Their words

  This book dramatically changed me as a leader and as a person. It will help you develop self-awareness and connect deeply with your sense of purpose as a leader. If I could recommend one book to help you develop the human skills behind the

  bringthedonuts.com

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  Immunity to Change: How to Overcome It and Unlock the Potential in Yourself and Your Organization

  Their words

  . Understanding how we grow and develop will help you become a better leader and a more empathetic colleague. More accessible than his academic work, this book also provides a framework for understanding underlying beliefs and motivations that might be holding you back.

  bringthedonuts.com

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  Strong Product People: A Complete Guide to Developing Great Product Managers

  Their words

  Whether you’re a product leader coaching a team member or still early in your product maangement career, Petra Wille will help you break down the essentials of the job and develop a plan for growth.

  bringthedonuts.com

Software engineer at PlanetScale and creator of the vim-go plugin. Writes at arslan.io about Go, tooling, industrial design and books.

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  The Notebook

  Their words

  Another favorite of 2025. The author traces the evolution of notebooks, from wax tablets and parchment to paper, and examines how figures like Leonardo, Darwin, and Newton used them to develop ideas.

  arslan.io

Designer, illustrator and writer; author of The Shape of Design and of widely read essays on design and the web.

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  AI should be treated as an instrument to play rather than a tool to use, because there is no purpose to better machines if they do not also produce better humans.

  Their words

  You use a tool, but you play an instrument. It’s a more expansive way of doing, and the doing of it all is important, because that’s where you develop the instincts for excellence. There is no purpose to better machines if they do not also produce better humans.

  Beyond the Machinefrankchimero.com

German writer and historian; wrote Blitzed, on drug use in Nazi Germany, and Tripped.

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  The Neanderthals lost to us because they had no drug culture — they were too sober for the future.

  Their words

  And I think, a lot of evidence kind of points to it that we were able to develop our consciousness in a better way than the Neanderthals, who did not have a drug culture. They were basically too sober for the future. We assimilated them.

  youtube.com

China economy researcher based in Beijing who writes on his personal blog about Chinese political economy, history, books and music.

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  Competition and experimentation among local officials has been a major driver of China's economic growth.

  China

  Their words

  China does much better in basic service delivery-and its local governments have also played a very obvious and important in driving growth, thanks to the competition and experimentation among local officials driven to develop their jurisdictions.

  andrewbatson.com

Runs the mechanistic interpretability team at Google DeepMind; worked on interpretability at Anthropic under Chris Olah before that, and teaches the field to newcomers.

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  Research taste, the harder-to-learn conceptual skills behind good research strategy, takes a long time to develop but very little time to apply once acquired

  Their words

  My model is that research requires a mix of skills. The day-to-day coding and execution is crucial. But there's also a set of harder-to-learn conceptual skills, collectively called research taste. These skills take a long time to gain because they have poor feedback loops, but they take very little time to use.

  MATS Applications Open (Due Aug 29)neelnanda.io

Co-founder and chief executive of Sierra, chairman of the board of OpenAI, and formerly co-chief executive of Salesforce and chief technology officer of Facebook.

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  Even generalised superintelligence will change society more slowly than the AGI community expects, because intelligence is not the only rate limiter.

  AGIAI alignment

  Their words

  I don't think all parts of the economy can absorb intelligence equally. So let's just say we develop fairly generalized super intelligence. I always use the analogy like you can invent a lot of drugs, but if clinical trials still take a long time, you're not necessarily going to get new therapies rapidly.

  youtube.com

Director of strategy at Georgetown's Center for Security and Emerging Technology; an OpenAI board member until November 2023, and writes Rising Tide.

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  Nobody has built a model that resists targeted jailbreaking, so the ability of AI companies to steer their own models is still limited.

  Their words

  But no one has (yet) been able to develop a model that is resistant to targeted “jailbreaking” that evades these restrictions.

  helentoner.substack.com

Historian at Stanford and the Hoover Institution; wrote Milton Friedman: The Last Conservative and Goddess of the Market, on Ayn Rand.

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  Milton Friedman is almost single-handedly responsible for there being any political and ideological diversity in the field of economics at all.

  Their words

  And almost single-handedly, Friedman will introduce political and ideological diversity into the field of economics because, from his beachhead in Chicago, he will develop the theory of monetarism.

  youtube.com

Energy and decarbonisation analyst; publishes an annual chart deck on the state of the transition, and was chief content officer at BloombergNEF.

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  Official forecasts consistently underestimate the pace of real-world change, with reality outperforming conservative predictions.

  Their words

  Until we develop better ways to bridge this gap - aligning what analysts understand with what is formally forecast - we'll continue to see the same pattern: reality consistently outperforming conservative predictions.

  AI data and Theories of Changenathanielbullard.com

Writes about the biotech industry, drug development and forecasting — “I write to learn, mostly about biotech.”

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  Pharmaceutical R&D productivity has fallen for decades: far more money spent per drug, with no matching improvement in the odds a candidate reaches the market.

  Their words

  The cost to discover and develop a drug today is orders of magnitude higher than in the 1950s. Despite this, the probability that a drug entering clinical trials will eventually reach the market has hardly improved in the intervening years.

  atelfo.github.io

Professor of Cognitive and Computational Neuroscience at the University of Sussex, co-director of the Sussex Centre for Consciousness Science, and author of Being You: A New Science of Consciousness.

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  Klara and the Sun: A Novel

  Their words

  Klara and the Sun is an absolutely remarkable example of how to develop this understanding.

  fivebooks.com