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Economics writer; author of the Noahpinion newsletter.

• Our readingkorrents.com

  Domain experts consistently underestimate how quickly AI can master their field and surpass them.

  Their words

  Domain experts consistently underestimate how quickly AI can master their field and surpass them, because they mistake human difficulties for universal difficulty.

  Two missing pieces in the AI safety discussionnoahpinion.blog

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.

• Our readingkorrents.com

  Specialized robots will invent techniques in their domain that humans never thought of or could not do.

  Their words

  Basketball robots are likely to invent new basketball moves that humans didn't think of doing, or couldn't do easily.

  Robot Basketballkk.org

Economic historian at Columbia; writes Chartbook on economics, geopolitics and history, and wrote Crashed and The Deluge.

• Our readingkorrents.com

  Germany's crisis is too deep to be solved by conventional tax, spending, or regulatory adjustments.

  Their words

  Germany is in trouble. But the trouble goes deep and cannot be addressed by "more of the same" socio-economic measures in the domain of taxes or social spending or regulation.

  adamtooze.substack.com

Economist and Nobel laureate. Wrote a New York Times column for 25 years until December 2024 and now publishes several times a week on Substack.

• Our readingkorrents.com

  The Trump administration is defined by hostility to expertise and has silenced or purged people who know things across agencies.

  Their words

  At a fundamental level, they’re just hostile to the idea of expertise in any domain, in pretty much every agency where there’s something to know, where there’s technical stuff that you need to know to make good decisions. The people who actually know things, or the people who are willing to speak up about what they know, have been silenced, purged.

  Where’s the Beef (Coming From)?paulkrugman.substack.com

Programmer; makes Handmade Hero and teaches Performance-Aware Programming, and argues loudly about how software got slow.

• Our readingkorrents.com

  Hand-optimizing hot spots barely matters any more, because the libraries are already fast and CPUs are extremely good at running bad code quickly; what is left is architecture.

  Their words

  One of the reasons that you don't see hotspot optimization as a thing that really matters that much anymore and one of the reasons I advise that architecture and and not making bad decisions is much more important is because a lot of libraries already have been optimized for you that you might use.

  youtube.com

Software engineer and writer; worked on Mapbox and built Placemark and Simple Statistics, and blogs at macwright.com.

• Our readingkorrents.com

  A software ecosystem made of many tiny modules from many different authors is unsafe against malicious actors and should give way to larger, vetted libraries.

  Their words

  Software that's composed of hundreds of little modules from hundreds of authors is a lovely idea that doesn't work with malicious actors.

  Technology optimism hourmacwright.com

Swedish open source developer; creator and lead maintainer of curl and libcurl, and a co-founder of the Rockbox project.

• Our readingkorrents.com

  Performance test results are highly dependent on the specific machine, library versions, and other components used, making them hard to compare over time.

  Their words

  Performance tests are highly specific and dependent on the exact machine it runs on, the exact third party libraries and their versions that are used, the other components involved in the tests, such as the servers, and more.

  curl performancedaniel.haxx.se

Chief scientist at Redwood Research, where he works on technical AI safety and AI control.

• Our readingkorrents.com

  Machine learning is a shallow field compared with mathematics: even its most important ideas can be explained in a couple of minutes.

  Their words

  Second, I think ML is a very shallow domain relative to math. So I think in math there's much more of a you find some true deep abstraction um and then like that like if you really understand that thing which is hard to understand then you get somewhere

  youtube.com

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

• Recommendsrcmnd.app

  Working Effectively with Legacy Code

  Their words

  First, Refactoring, Domain-Driven Design, and the Pragmatic Programmer are all classics for a reason. Amazing books, and mandatory reads. Working Effectively with Legacy Code deserves all its praise, and of course everyone (yes, really) should check out the Mythical Man-Month.

  adamtornhill.substack.com

• Recommendsrcmnd.app

  The Mythical Man-Month

  Their words

  First, Refactoring, Domain-Driven Design, and the Pragmatic Programmer are all classics for a reason. Amazing books, and mandatory reads. Working Effectively with Legacy Code deserves all its praise, and of course everyone (yes, really) should check out the Mythical Man-Month.

  adamtornhill.substack.com

• Likedrcmnd.app

  Multi-Paradigm Design for C++

  Their words

  Multi-Paradigm Design for C++ by James O. Coplien. Twenty years after reading this, the core techniques are still with me. These are commonality analysis, where the purpose is to identify families of systems, and variability analysis, which focuses on capturing the domain parameters that vary. In essence: the foundation of great software design.

  adamtornhill.substack.com

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

• Our readingkorrents.com

  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

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.

• Our readingkorrents.com

  Some domains cannot be launched into early: where security, partners and money movement are preconditions, you have to build first.

  Their words

  Um in our domain, to answer your last question, because we had to do so much stuff around security and partners and money movement and infrastructure and reliability and you know, all the things. We just we didn't feel like we could scale a really good self-serve experience without getting a lot of the kind of the preconditions um and the infrastructure in place.

  youtube.com

Chief Scientist at Google DeepMind and Google Research, at Google since 1999, where he co-created MapReduce, Bigtable, TensorFlow and the TPU.

• Our readingkorrents.com

  A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next.

  Their words

  I mean I think like if you look at uh my colleagues work on say alpha fold that was a very specific model for uh protein folding and it was highly successful um and was able to really handle that domain quite well so that all of a sudden you now have this amazing tool and model that can give you answers to questions about proteins and their structure um really effectively um but it's not a general model it's a very specific one and there are other I domains where that kind of approach can work really well. Uh maybe in material science or chip design or things like that that uh will enable you to leverage the capabilities of a very accurate but but niche model uh to do things that are hard today.

  Jeff Dean: The 1% Rule for Building in AIyoutube.com

Writer and consultant on formal methods and software correctness; author of Practical TLA+ and Logic for Programmers.

• Our readingkorrents.com

  Formal methods are not used everywhere because for most real problems writing down what the function should do is itself a nightmare, and a program that is right ninety-nine per cent of the time is good enough.

  Their words

  when you start talking about like most interesting domain problems, you have to pull in so much context that basically even writing what the function is supposed to do becomes a nightmare. The imperative program you write that will get correct 99% of the time is probably good enough to use in almost all cases.

  Formal methods with Hillel Wayneyoutube.com

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

• Our readingkorrents.com

  The business is not building a great chip; it is accelerating an algorithm domain.

  Their words

  we realized early on uh that it's not about building a great chip, it's about accelerating an algorithm domain.

  Jensen Huang: The Mindset That Built NVIDIAyoutube.com

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

• Our readingkorrents.com

  The rising hire in an AI world is the systems thinker who can look across every business domain and name the building blocks, not the local domain expert.

  Their words

  So, we are hiring more people who can look across all the business domains and abstract that to here's the building blocks we're going to need in a world with AI.

  youtube.com

Programmer; wrote Extreme Programming Explained and Test-Driven Development, signed the Agile Manifesto, and writes Tidy First?.

• Our readingkorrents.com

  The industry is now accumulating code faster than it is accumulating trust, and trust only comes from having struggled to understand the domain yourself.

  Their words

  we're accumulating code faster than we're accumulating trust and that sense of trust comes from me struggling to understand some domain concept I get it. I represent it in the code. I have I write tests that demonstrate that I really did understand it. And now I trust my program.

  youtube.com

Makes NeetCode, the structured practice list and video walkthroughs people use to prepare for coding interviews; a former Google engineer.

• Our readingkorrents.com

  Agency is what makes a hire good: the willingness to take a task in a domain you know nothing about and have learned the whole thing a week later.

  startups

  Their words

  I think like in startups the term is agency. Like somebody who's high agency who's just going to get things done, who's never going to like say no to something. I think like that attitude is really important of like okay, if I don't know something, I'll just learn it.

  Tech interviews with NeetCodeyoutube.com

Founded CD Baby in 1998 and sold it in 2008, giving the proceeds to a charitable trust for music education. Since then a writer and speaker: five books and 550+ articles, published first at sive.rs, which they hand-code and keep free of advertising.

• Usesrcmnd.app

  Netim

  Their words

  Netim domain registrar

  sive.rs

Engineer and teacher; wrote Kubernetes the Hard Way, was a distinguished engineer at Google Cloud, and retired from full-time work in 2023.

• Our readingkorrents.com

  Having a model regenerate the same block of code over and over is insane however fast it feels — that is what functions and libraries were invented for.

  Their words

  So if you find yourself generating the same blocks of code over and over, even though it feels fast or convenient, it is still insane.

  youtube.com

Writes Strange Loop Canon, on the intersection of technology, economics and business — "building models of the world to understand these problem areas and to define them better".

• Our readingkorrents.com

  As AI labs aim for broad, general capability, handling messy real-world bureaucratic tasks is becoming a primary application domain for their models.

  Their words

  Considering every lab wants to "eat the world" the focus on how to work in real-world messy situations seems apt as their primary home.

  Introducing BenchBenchstrangeloopcanon.com

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

• Our readingkorrents.com

  General-purpose computing has largely run its course; domain-specific acceleration is the way computing keeps scaling.

  Their words

  the ability for general purpose computing to continue to scale has largely run its course and the only the the not the only way but the the way to do that is through domain specific acceleration

  Jensen Huang – Will Nvidia’s moat persist?youtube.com

Programmer; wrote Extreme Programming Explained and Test-Driven Development, signed the Agile Manifesto, and writes Tidy First?.

• Our readingkorrents.com

  The satisfaction of getting one function exactly right no longer makes a difference, and an engineer has to let go of it and enjoy understanding the domain instead.

  Their words

  So I think for me I take a kind of uh OCD enjoyment in the in the craft. And I need to let go of that. Because that that satisfaction of getting this one function just right just doesn't make a difference anymore.

  youtube.com

Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".

• Our readingkorrents.com

  Reinforcement learning leaves models sharply jagged: on the rails of a verifiable domain they are superintelligent, off them everything meanders.

  AI alignment

  Their words

  And so you're kind of like you're either on rails and you're part of the super intelligence circuits or you're not on rails and you're outside of the verifiable domains and suddenly everything kind of just like meanders.

  youtube.com

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

• Our readingkorrents.com

  Demand for open-source component libraries is collapsing, because a model will write exactly the widget you want instead of one you have to customise.

  Anthropic

  Their words

  Why would I use a date picker library where I'd have to customize it when I could have Claude write me the exact date picker that I want.

  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.

• Our readingkorrents.com

  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

Software engineer and educator; creator of Testing Library and of the EpicWeb.dev and EpicReact.dev courses.

• Usesaffiliate linkrcmnd.app

  iwantmyname.com

  Their words

  iwantmyname.com - Where I buy all my domain names.

  kentcdodds.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.

• Our readingkorrents.com

  A model that is really good at coding is really good at general problem-solving, and that skill carries into every other domain.

  Their words

  If you get really good at coding that means you have to be really good at general purpose problem solving. So that's a skill, right? And that just maps into other domains.

  youtube.com

Software engineer who writes the blog Made of Bugs about performance, debugging and understanding computer systems. Previously worked at Anthropic on interpretability, at Stripe on Sorbet, and at Ksplice.

From one piece Solving regex crosswords with Z3 2 beliefs, in the piece's order there

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  Augmenting a general-purpose solver with domain-specific heuristics commonly gives it a meaningful performance boost.

  Their words

  My sense is that this hybrid is fairly common in practice; solvers aren't magical and if you can deduce additional structure using domain-specific analysis, it will often give the solver an important boost.

  Solving regex crosswords with Z3blog.nelhage.com

• Our readingkorrents.com

  When a tool has first-class, native support for a problem domain, that is the best place to start before building a custom encoding.

  Their words

  I suspect the pattern generalizes: If Z3 has first-class support for your problem domain, it's worth starting there!

  Solving regex crosswords with Z3blog.nelhage.com

Co-founder of Superlogical, started in 2026 to build server-side terminal infrastructure; creator of Ghostty. Co-founded HashiCorp and created Vagrant and Terraform before that.

• Our readingkorrents.com

  Effective use of AI coding tools requires domain expertise: the tool should be used as an assistant, not as a replacement for the engineer.

  Their words

  This is intentional and I believe good AI drivers are experts in their domains and utilize AI as an assistant, not a replacement.

  Vibing a Non-Trivial Ghostty Featuremitchellh.com

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

• Our readingkorrents.com

  Agency and clock speed beat domain experience in a hire, and in a fast-moving field experience is often a crutch of habits that need discarding.

  energy

  Their words

  I saw some of the highest performers just being people that had very high agency, had that clock speed, had that energy. Um, yes, they they cared about the mission, but they didn't necessarily need to have deep experience on that matter. And in fact, sometimes that experience could be a crutch in certain ways. Especially in this world where the grounds are shifting so fast with AI, a lot of your like learn habits actually need to be intentionally discarded. You know, you need to have a beginner's mind on this type of stuff.

  youtube.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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  The person receiving advice usually knows more about their own situation than the person giving it does.

  Their words

  No matter how much I know about a domain, the other person will always know far more about their own situation, context, beliefs, skills, preferences, etc than I do.

  neelnanda.io

Computer performance engineer working on datacenter performance at OpenAI, previously Netflix and Sun/Joyent. Author of Systems Performance and BPF Performance Tools, and creator of flame graphs.

• Our readingkorrents.com

  Major Linux distributions are increasingly shipping system libraries with frame pointers enabled by default

  Linux

  Their words

  This is getting easier in the lastest versions of Fedora and Ubuntu (e.g., Ubuntu 24.04 LTS) which are shipping system libraries with frame pointers by default.

  Doom GPU Flame Graphsbrendangregg.com

Programmer known online as technomancy; author of Leiningen, the Clojure build tool, and a maintainer of the Fennel programming language.

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  Installing Lua libraries via apt-get tends to produce more stable results than installing via luarocks.

  Their words

  Installing via apt-get instead of luarocks will tend to get you more stable results.

  in which web pages are served but also fetchedtechnomancy.us

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

• Our readingkorrents.com

  Software engineering agents will work before any other kind of agent, because code is the one domain where the machine can check its own answer.

  Their words

  But really the software engineering agents I think can be done faster sooner than any other agent because it is a verifiable domain. You can always unit test or compile, and there's many different regions of it can inspect the whole code base at once, which no engineer really can.

  youtube.com

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 that exceeds human performance in nearly every cognitive domain is almost certain to be built within the next few years.

  Their words

  AI that exceeds human performance in nearly every cognitive domain is almost certain to be built and deployed in the next few years.

  Time's Up for AI Policymilesbrundage.substack.com

Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.

• Likedrcmnd.app

  Framework Design Guidelines: Conventions, Idioms, and Patterns for Reusable .NET Libraries

  Their words

  An eye-opening view on considerations going into building a widely used public API or reusable library. While the book focuses on the .NET framework, many of the conventions apply to maintainable and reusable components, in general. This book had an outsized impact on me as I read it when I was a mid-level .NET developer.

  blog.pragmaticengineer.com

Egyptian front-end developer and course creator; writes for CSS-Tricks, publishes courses on Udemy and blogs at alialaa.dev.

• Usesrcmnd.app

  GoDaddy

  Their words

  I use GoDaddy for domain names.

  alialaa.dev

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

• Our readingkorrents.com

  Criticism is only useful from someone with domain knowledge who is not trying to gain status by hurting the person receiving it.

  Their words

  Criticism is what happens when someone with domain knowledge who is not trying to earn status by hurting you is able to help you see the world as it is. And those three pieces are the key, right? Because most of the criticism I've gotten in my life has come from people who felt like they would feel better if I felt worse.

  youtube.com

Software engineer writing about maintenance, open source and the industrial reality of software — the author of "I am not a supplier".

• Our readingkorrents.com

  Maintainers of widely used open source software are not adequately funded, and that is a real and unsolved problem.

  open source

  Their words

  Hell even worse, a lot of the libraries that underpin the fabric of what we all call the digital economy have trouble getting enough money to pay for food.

  I am not a suppliersoftwaremaxims.com

Co-founder of Netscape and of the venture firm Andreessen Horowitz. Argues at length for building things, mostly in short form.

From one piece Inside the Mind of A Famous Investor | Marc Andreessen 2 beliefs, in the piece's order there

• Our readingkorrents.com

  Almost everything worth doing sits in a probabilistic domain where a perfect score is not available.

  Their words

  in quote-unquote real life, right? Which is starting businesses or you know, writing books, right? Or composing music or playing basketball or playing poker, right? Or basically doing anything interesting we're in a probabilistic domain, right?

  youtube.com

• Our readingkorrents.com

  Young founders who appear to have no track record have almost always been working inside their problem for years already.

  startups

  Their words

  the reality is the kids that make new things work from scratch. It actually turns out that they actually have been deep in the domain for a long time. Almost every case, they've been thinking hard about the problem that they're trying to solve actually for in in a lot of cases for many years.

  youtube.com