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Systems and developer-tools engineer at Cloudflare as of 2026, on durable infrastructure for AI agents; worked on React and PartyKit before that. Writes at sunilpai.dev.

• Our readingkorrents.com

  Anthropic should acquire a runtime or team hyper-focused on performance and optimising for common real-world use cases.

  Anthropic

  Their words

  anthropic should acquire a runtime / team that's hyper focused on performance and optimising for common real world usecases

  @threepointone on Xx.com

Co-founder of Y Combinator and Viaweb; essayist at paulgraham.com.

• Our readingkorrents.com

  Starting a startup is about the least efficient way there is to acquire prestige.

  startups

  Their words

  If you want to seem cool, like starting a startup is just about the least efficient way to do it.

  youtube.com

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

• Readrcmnd.app

  Harry Potter series

  Their words

  Ah, high school memories! Seems like this series was an important part of my childhood.

  rakhim.org

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

  Reinforcement learning from verifiable rewards does not reliably carry a model's pretrained ethical understanding into its actual behavior.

  Their words

  In short, RLVR gives us no reason to expect the normative representations learned in pre-training will acquire motivational force over a given action, especially when post-training repeatedly selects trajectories for terminal task success.

  The Sorcerer’s Apprenticesecondbest.ca

Computer science professor at Georgetown University and author of Deep Work, Digital Minimalism and Slow Productivity; writes about focus, technology and work at calnewport.com and hosts the Deep Questions podcast.

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  Handing all code production to AI leaves junior developers with no path to becoming senior ones.

  Their words

  In addition to reliability issues, it often engenders a mind-numbing workflow and an environment where junior developers will never acquire the expertise to become senior developers capable of designing complex systems.

  On AI Coding and Its Discontentscalnewport.com

American game designer and director, for nineteen years at Blizzard as a World of Warcraft quest designer and then game director of Overwatch; now runs the independent studio Kintsugiyama.

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  Small studios are the future of gaming: the genuinely new ideas come out of them, and the big studios acquire rather than generate them.

  Their words

  Small studios are the future of gaming. The big studios basically acquire the small studios for new IP and ideas, and the small studios grow in. The really compelling, new, innovative ideas are gonna come out of small studios.

  youtube.com

Canadian bootstrapper and writer on small software businesses. Co-founder of the podcast hosting company Transistor.fm and author of the book Marketing for Developers.

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  As more people build software with faster cycle times, they will learn lessons faster that once took colleagues decades to acquire.

  Their words

  As more people build software and cycle time compresses, they'll start to absorb lessons that it took their colleagues decades to learn.

  Will Claude Code ruin our team?justinjackson.ca

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

• Our readingkorrents.com

  A robot working alongside a person beats either one alone, and that pairing is also what makes the technology possible to bootstrap.

  Their words

  And I think we'll see the same thing with automation where uh basically robot plus human is much better than just human or just robot. Uh and and that just like makes total sense. It also makes it much easier to get all the technology bootstrapped because when it's robot plus human, now there's a lot more potential for the robot to like actually learn on the job, acquire new skills.

  youtube.com

Researcher and science writer. Co-founder and editor at Works in Progress magazine, formerly a researcher at Our World in Data, and author of the Scientific Discovery newsletter on science, global health and medical innovation.

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  The fall in cancer mortality is not mostly the fall in smoking: stomach and colorectal cancer were already declining before smoking was.

  Their words

  In my view, without smoking, we probably would have seen cancer mortality decline much earlier.

  scientificdiscovery.dev

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

• Our reading nowkorrents.com

  The memorize-fetch-apply paradigm behind LLMs can reach arbitrary skill given training data, but it cannot adapt to novelty or acquire new skills on the fly.

  LLMsOpenAI

  Their words, before

  This "memorize, fetch, apply" paradigm can achieve arbitrary levels of skills at arbitrary tasks given appropriate training data, but it cannot adapt to novelty or pick up new skills on the fly (which is to say that there is no fluid intelligence at play here.)

  Their words now

  OpenAI's new o3 model represents a significant leap forward in AI's ability to adapt to novel tasks. This is not merely incremental improvement, but a genuine breakthrough, marking a qualitative shift in AI capabilities compared to the prior limitations of LLMs.

Co-founder and CEO of Perplexity, an AI answer engine; previously a research scientist at OpenAI and a PhD student at UC Berkeley.

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  Spending most of the compute memorising the world in pre-training is brute force; what we want is a model that reasons the way a student sits an open-book exam.

  Their words

  I think there’s an interesting thought experiment here that, we’ve been spending a lot of compute in the pre-training to acquire general common sense, but that seems brute force and inefficient. What you want is a system that can learn like an open book exam.

  youtube.com

Neuroscientist at UC Davis; studies memory and wrote Why We Remember.

From one piece Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories | Lex Fridman Podcast #430 4 beliefs, in the piece's order there

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  Memory does not simply decline with age — an older brain's job changes to passing on accumulated knowledge rather than forming new episodic memories.

  Their words

  about this idea that really when you’re older in most societies, your job is no longer to form new episodic memories, it’s to pass on the memories that you already have, this knowledge about the world, what we call semantic memory, to pass on that semantic memory to the younger generations, pass on the culture.

  youtube.com

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  Spaced recall works by stripping a memory of the time and place it happened, which is why the memories you revisit most feel like facts you read rather than things you lived.

  Their words

  So if you remember this information in different times in different places, it’s more accessible at different times in different places because it’s not overfitted in an AI way of thinking about things. It’s not overfitted to one particular context. But that’s also why the memories that we call upon the most also feel like they’re just things that we read about almost.

  youtube.com

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  There is no such thing as a true or a false memory: every memory is a mix of fragments of what happened with the theories and inferences we used to fill the gaps.

  Their words

  Well, I like to say there’s no such thing as true or false memories. It’s like Johnny Rotten from the Sex Pistols, he had a saying that’s like, “I don’t believe in false memories any more than I believe in false songs.” And so the basic idea is that we have these memories that reflect bits and pieces of what happened, as well as our inferences and theories.

  youtube.com

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  Memory athletes were not born with extraordinary memories; they practise a handful of strategies until deploying one is automatic.

  Their words

  By all accounts, from people who become memory athletes, they weren’t born with some extraordinary memory, but they practice strategies over and over and over again. The strategy that they use for memorizing a particular thing, it can become automatic, and you can just deploy it in an instant.

  youtube.com

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.

• Likedaffiliate linkrcmnd.app

  Lean Startup Marketing

  Their words

  One of the hardest things about starting a business is getting your early customers. After that, you have to find a way to *scalably* acquire those customers at a cost you can afford (i.e.- profitably). Fortunately, there are thought leaders like Sean Ellis. This is collection of Sean's greatest wisdom on his startup marketing blog, updated with even deeper insights. A must read if you're just starting out on a new internet venture.

  jasonevanish.com