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Chief Scientist at OpenAI. Worked on the research that turned scaled reinforcement learning into reasoning models, and writes about where he thinks that path leads.

• Our readingkorrents.com

  Confidence in monitoring, not capability research, will become the binding constraint on AI progress.

  Their words

  Still, I expect general AI progress to increasingly be bottlenecked by confidence in monitoring.

  An Alien Mindopenai.com

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

• Our readingkorrents.com

  Most organisations are bottlenecked on ideas, vision and taste rather than on implementation, so making code cheap does not make them productive.

  Their words

  The other thing I'd say is that most organizations don't know what they want. They don't know how to make it better. They're not bottlenecked on implementation. They're bottlenecked on ideas. They're bottlenecked on vision. They're bottlenecked on taste. And if you don't have those element in excess of your implementational capacity, it doesn't help. So you can make a lot of shitty ideas come true, then what?

  youtube.com

Genomics researcher and writer on science, biotech and the culture of research.

• Our readingkorrents.com

  AI will not on its own compress decades of medical progress into a few years, because the binding constraint is human data, clinical trials and regulation rather than intelligence.

  Their words

  I told him what I believe: that in the age of AI, medicine will be bottlenecked more than ever by regulation and the grind of clinical trials, and that billions poured into faster pre-clinical research won’t touch that problem, unsexy as it is.

  Intelligence is not the main bottleneckwritingruxandrabio.com

AI researcher at OpenAI; built the poker systems Libratus and Pluribus and the Diplomacy agent Cicero, and works on reasoning models.

• Our readingkorrents.com

  There will be no overnight intelligence explosion, because a model's best work takes so much test-time compute that time itself is the bottleneck.

  Their words

  and I don't think we're headed to that world largely because of the fact that the models rely so much on large scale test time compute in order to achieve um their greatest intelligence. If you if it requires so much test time on compute to unlock the full capabilities of the model, then that means you're bottlenecked by time

  youtube.com

Scientist and writer on quantum computing, memory systems and metascience; co-wrote the standard quantum computation textbook and wrote Reinventing Discovery.

From one piece Michael Nielsen – Why aliens will have a different tech stack than us 2 beliefs, in the piece's order there

• Our readingkorrents.com

  AI has moved the programmer's bottleneck from writing code to having good design ideas, and there is no verification loop for a design idea.

  Their words

  So certainly one thing that a lot of them seem to be bottlenecked on is now having interesting ideas and in particular having interesting design ideas.

  youtube.com

• Our readingkorrents.com

  Science always bottlenecks precisely where the heuristics that worked before stop applying, which is definitionally what makes something a bottleneck.

  Their words

  the point is that where we always get bottlenecked is where the the previous processes and and and heuristics don't apply. Right? Like that's almost sort of definitionally what causes the bottlenecks.

  youtube.com

Researcher on developer productivity; co-wrote Accelerate and the DORA research, and created the SPACE framework.

• Our readingkorrents.com

  The front end of software work has already collapsed into rapid prototyping, and part of the outer loop will collapse next.

  Their words

  right now, that whole front end has been like kind of smooshed because many times we can just like prototype really really rapidly and kind of solidify some of what we're thinking in terms of like ideas and coding. So I fully expect that part of the outer loop is just going to be collapsed as well, right?

  youtube.com

Writer, photographer and software maker based in Japan; publishes long-form essays, walking newsletters and self-made books at craigmod.com.

• Usesrcmnd.app

  Claude Code

  Their words

  With Claude, I've built a host of software like this. Mostly small tools for myself — programs that instantly append copy buffers to text files (I keep a running file of nice things people write to me called notapieceofshit.txt) or quickly perform live currency conversions.

  craigmod.com

Co-founder and chief executive of Figma, the collaborative design platform he started in 2012 and took public in 2025.

• Our readingkorrents.com

  AI prototyping ends the era of product managers asking designers to draw an idea, which frees designers for deeper work and lets anyone join the first conversation.

  Their words

  PMs are no longer saying to the designer, hey, can you draw this thing out for me? That frees up designer time to go explore more deeply the stuff they need to go into and it allows anyone to kind of add to that first conversation of where should we go and look further and wider and broader at the option space.

  youtube.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

  AI has made prototyping fast but has not yet joined it to the workflow, so at any real scale the handoffs between functions are still there.

  Their words

  I would say though that something that is kind of annoying to me is that we haven't yet figured out the bridging from the tinkering to the workflow quite as seamlessly as I would like.

  youtube.com

Programmer and streamer; was an engineer at Netflix, now teaches and argues about editors, Vim and how people learn to program.

• Our readingkorrents.com

  For an experienced programmer the bottleneck is usually not thinking but typing, getting what is already in your head into the editor fast enough.

  developer tools

  Their words

  Most of the time I'm not thinking, I'm programming. I know what I want to do, I want to go as fast as possible because I've been just doing it for so long and I'm so familiar with the general space that it becomes a huge problem for me. I cannot tell you how many times that I've been purely bottlenecked by the fact that I just can't type fast enough and I just need to get it out of my head onto the text editor.

  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

  OpenLaszlo

  Their words

  Declarative layout, rapid prototyping.

  worrydream.com

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

• Our readingkorrents.com

  A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.

  Their words

  Another challenge for Class II biotechs is that even if you have a nifty computational drug discovery platform, you are still often bottlenecked by the rest of the drug development process. It takes 1,000 (or more!) small steps to advance a drug through discovery, development, and past the regulators.

  A new breed of biotechatelfo.github.io

Programmer and entrepreneur; co-founded GitHub and created Jekyll, Gravatar and the Semantic Versioning spec.

• Our readingkorrents.com

  Building a secure, performant GraphQL API is tricky and adds real cost during early-stage app prototyping.

  Their words

  While we love GraphQL for many use cases, implementing a secure and performant GraphQL API can be tricky and there is a definite cost to requiring it during early prototyping of your app.

  tom.preston-werner.com