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

• Our readingkorrents.com

  A formal code of conduct is not worth adopting, because those became struggle-session processes; courtesy without one is what actually wins.

  Omarchy

  Their words

  Omarchy is not going to adopt a formal Code of Conduct because those turned out to be struggle-session processes in the last turning. But we are going to play nice. We're going to be courteous, professional, and composed in our direct interactions with users, competitors, and even haters. Because that's what's going to pave the path to the win.

  @dhh on Xx.com

Freelance research analyst and writer of the blog Aceso Under Glass, known for 'epistemic spot checks' of non-fiction claims.

• Our readingkorrents.com

  When a bureaucracy never issues a formal refusal, there is no decision to argue against, only endless shadowboxing.

  Their words

  If the city said no we could have an argument about procedures and decisions, but as it stands its all shadowboxing.

  acesounderglass.com

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

From one piece Formal methods with Hillel Wayne 5 beliefs, in the piece's order there

• Our readingkorrents.com

  AI is making formal methods more popular without making them mainstream, moving them from about a tenth of a per cent of engineers to three tenths.

  Their words

  I think it is making it more popular. I don't know if it'll make it go mainstream, but it's definitely making it a lot more popular. It's bringing it from maybe like 0.1% to 0.3% which is huge.

  Formal methods with Hillel Wayneyoutube.com

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  Formal methods are a niche tool; property-based testing is the one most engineers should adopt, and stopping there is a fine place to stop.

  Their words

  I love formal methods, but I think it's a fairly niche tool for most people and I think like property-based testing is in general going to be useful for more people.

  Formal methods with Hillel Wayneyoutube.com

• Our readingkorrents.com

  Formal methods shine in highly computational domains and struggle wherever the problem is embedded in human business behaviour.

  Their words

  I think the case of TLA+ and most, not all, but most formal methods, they shine the most in highly computational domains, where most of the problems are highly technical and not like business embedded.

  Formal methods with Hillel Wayneyoutube.com

+ 2 more

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  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

• Our readingkorrents.com

  Engineers are sceptical of formal methods because they were burned by CASE and UML, sold as miracle solutions and imposed on them regardless of fit.

  Their words

  I think a lot of the reason people are skeptical of these is because they've been burned by things like case and UML and all these other miracle solutions that were forced on them by people who wanted them to use it no matter what.

  Formal methods with Hillel Wayneyoutube.com

Mathematician at UCLA, working mainly in harmonic analysis and partial differential equations. Writes What's new, a long-running blog on their research, open problems and expository notes.

From one piece From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier (with 18 co-authors) 2 beliefs, in the piece's order there

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  AI systems are now capable of meaningful contributions to formal mathematics, not only informal problem-solving.

  Their words

  These developments inform our position that AI systems are now capable of meaningful contributions to formal mathematics, not merely informal problem-solving.

  arxiv.org

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  The next advance in AI for mathematics requires shifting from predefined problem-solvers to research agents that address frontier challenges with formal reasoning.

  Their words

  We argue that the next leap in AI4Math systems requires a decisive shift from predefined problem-solvers to research agents that can address frontier mathematical challenges with rigorous formal mathematical reasoning.

  arxiv.org

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.

• Our readingkorrents.com

  Mathematics alone can be left running: point a prover at a formal library, walk away for ten years, and there will be something there when you come back.

  Their words

  That's a very unique thing that math has that nothing else has where you could press go and then just like just just poor compute at it and like look away for 10 years and then come back and say like what do you have and there's there's going to be something, right?

  youtube.com

Researcher on distributed systems and local-first software at the University of Cambridge; wrote Designing Data-Intensive Applications.

From one piece Designing Data-intensive Applications with Martin Kleppmann 3 beliefs, in the piece's order there

• Our readingkorrents.com

  A test checks a handful of examples; a proof settles an infinite state space, which is why formal methods can say things testing never can.

  Their words

  But a proof can reason about potentially infinite state spaces. So, it can tell you things about like every possible thing that could possibly happen in the entire universe.

  youtube.com

• Our readingkorrents.com

  Formal verification is about to become economical, because models are getting good enough at writing the proofs that humans no longer have to.

  LLMs

  Their words

  One is that the LLMs are getting increasingly good at writing these proofs. And if we don't have to write the proof by hand as humans, it just becomes feasible to do them in situations where previously it would have not been economical.

  youtube.com

• Our readingkorrents.com

  AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck.

  LLMs

  Their words

  But also LLMs increase the need for these formal proofs because, you know, we're live coding a bunch of stuff. If we have to manually review all of that code, then that will become the bottleneck.

  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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  Team of Rivals

  Their words

  Abraham Lincoln surrounded himself with his opponents, gradually turning them into admirers and influential advisors. Lincoln’s approach to leadership offers lessons for anyone looking to tap into the wisdom of others, with or without formal authority.

  bringthedonuts.com

Machine learning engineer and independent AI consultant. He writes about LLM evaluation, tooling and applied ML at hamel.dev, and previously worked on machine learning at GitHub.

• Mixed onrcmnd.app

  Langsmith

  Their words

  The overall workflow is intuitive, especially for those new to formal evaluation processes. The UI guides you through creating datasets, running experiments, and annotating results.

  hamel.dev

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.

• Our readingkorrents.com

  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.

  youtube.com

Senior economist at the Foundation for American Innovation; writes Second Best, and was the Niskanen Center's director of social policy before that.

• Our readingkorrents.com

  The success of large language models vindicates semantic inferentialism over symbolic, rule-based approaches to AI.

  LLMs

  Their words

  The success of LLMs can thus be seen as vindicating semantic inferentialism against earlier, symbolic approaches to AI that tried and failed to explicate the rules of ordinary language using formal logic.

  Do LLMs really reason?secondbest.ca

Astrophysicist at the University of Rochester; works on the search for life elsewhere and wrote The Little Book of Aliens and Light of the Stars.

• Our readingkorrents.com

  Science has come to treat its formal systems as more real than the experience they were abstracted from: 60 degrees as more real than hot and cold.

  Their words

  And then we end up at the bottom of that with this idea of everyday I wake up and I check my phone and I'm like, oh, it's going to be 60 degrees out. Great. And we start thinking that 60 degrees is more real than hot and cold. That thermodynamics, the whole formal structure of thermodynamics is more real than the basic experience of hot and cold that it came from.

  youtube.com

Interface designer and researcher, known for the talks Inventing on Principle and Media for Thinking the Unthinkable and for essays on dynamic representations of ideas. Founder of Dynamicland, where he is building a communal computer.

• Lovedrcmnd.app

  Godel, Escher, Bach

  Their words

  The formal systems, they are everywhere.

  worrydream.com

Cognitive scientist and long-standing critic of deep learning's claims; writes Marcus on AI and wrote Rebooting AI.

• Our readingkorrents.com

  Large language models do not reason formally: their performance collapses as a problem is made bigger, in the way a calculator's never does.

  LLMs

  Their words

  Another manifestation of the lack of sufficiently abstract, formal reasoning in LLMs is the way in which performance often fall apart as problems are made bigger.

  garymarcus.substack.com