Related posts

Psychologist and writer. Author of the memoir Troubled: A Memoir of Foster Care, Family, and Social Class, and of a newsletter on human nature, psychology, social class and what he calls luxury beliefs.

• Our readingkorrents.com

  Expecting a layoff in advance provides little psychological protection against its effects.

  AI and jobs

  Their words

  Being mentally prepared didn't provide much protection. The effects of job loss looked remarkably similar.

  Your Job Gives You More Than Moneyrobkhenderson.com

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

• Our readingkorrents.com

  The feedback loops driving major shifts in international politics are highly destabilizing and difficult to predict in advance.

  Their words

  The feedback loops that drive system change are both "highly destabilizing and difficult to predict."

  programmablemutter.com

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

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.

From one piece Why Fei-Fei Li Is Betting on Spatial Intelligence 2 beliefs, in the piece's order there

• Our readingkorrents.com

  The scaling law for world models was a conviction held in advance, not a discovery; the devils were always in the architecture choices and the data mixture.

  Their words

  I think three of us have total conviction about the scaling law. That that I think we do. I do think the exact architecture choices and data mixtures is where the the devils are in the details.

  youtube.com

• Our readingkorrents.com

  The camera pose is the most critical piece of information about the geometry of a space, which is why estimating it for every frame is the real advance.

  Their words

  And I do believe Atlas is a significant step forward because now with every single frame, you have a you can generate an estimate a important piece of information, which is the the view viewpoint, the camera pose. And that is the most critical information one needs about the geometry of the of the space.

  youtube.com

Neurologist at Oxford; studies apathy, motivation and attention after brain injury, and edits the journal Brain.

• Our readingkorrents.com

  Planning a day or a week in advance works because it pays the brain's decision cost once rather than dozens of times.

  energy

  Their words

  Every decision has a cost in terms as we've seen the brain having to put in invest fuel to make that decision. So if you're having to do that every time you make a decision, that can seem very burdensome. Whereas if you did it once in a big way where you planned it out for the day or the week, maybe the costs in terms of the activation energy required for the brain is much lower for you if you do that.

  youtube.com

Founded Bridgewater Associates in 1975 and led it until stepping back from control in 2022. Author of Principles, The Changing World Order and How Countries Go Broke; publishes economic analysis at economicprinciples.org.

• Our readingkorrents.com

  A government debt crisis is measurable and therefore visible well in advance; the diagnostic is mechanical rather than a matter of judgement.

  government

  Their words

  Because one can measure these things, one can monitor this debt dynamic happening, so it’s easy to see problems approaching. I’ve used this diagnostic process in my investing and I’ve kept it to myself, but I’m now explaining it in detail in How Countries Go Broke: The Big Cycle because it is too important to keep to myself.

  raydalio.substack.com

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

Author of The Simple Path to Wealth and of the jlcollinsnh.com stock series on index-fund investing.

• Our readingkorrents.com

  Market bubbles and crashes are inevitable but impossible to predict in advance.

  Their words

  To be clear, this doesn't mean there will never be bubbles or crashes. There definitely will be. It is just that nobody can predict them.

  The Power of Self-Cleansingjlcollinsnh.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

Creator of Claude Code at Anthropic.

• Our readingkorrents.com

  You cannot predict which instructions a model needs, so a system prompt has to be discovered by running the thing rather than designed in advance.

  Their words

  And you don't want to guess what's the instruction that the model needs because you might not predict it correctly. The thing that you want to do is you want to run it.

  Boris Cherny: We Cut 80% of Claude Code's Promptyoutube.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

Cardiologist and founder of the Scripps Research Translational Institute; writes Ground Truths on biomedical research, and wrote Super Agers and Deep Medicine.

• Our readingkorrents.com

  Measurable, modifiable biological age at the organ and cell level is the most important advance yet in the science of human ageing.

  Their words

  I believe this represents the most important advance we have yet seen in the science of human aging.

  Medicine is Moving From Calendars to Clockserictopol.substack.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.

• Our readingkorrents.com

  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

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

Builds developer tools — SST, and now OpenCode at Anomaly. Posts constantly on x.com and writes almost never; the blog stopped in 2021.

• Our readingkorrents.com

  Get the positioning right and the world keeps handing you wins you never predicted, because well-funded rivals will all use a neutral party to advance their own interests.

  Their words

  If you get your positioning right, the world just keeps handing you wins that you didn't even expect. So like we never predicted this exact scenario but like our fundamental understanding of the position was right. like if if there is a neutral party, all these companies with billions of dollars will kind of use a neutral party to advance their own like company's interests.

  Building OpenCode with Dax Raadyoutube.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

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

• Our readingkorrents.com

  Anomalies cannot be sorted in advance: the same move that found Neptune failed completely for Mercury, so a field has to pursue both answers at once.

  Their words

  And so you sort of you've you've pursued very similar ideas. It's been very successful in one case and it's been completely and utterly unsuccessful in the other case. And I think I mean a priori, you can't tell which of these is the thing to do. And you actually need to do both.

  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

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

  Committing to compute years in advance is the durable margin advantage in AI, because every increment of new capacity transacts at the new price.

  Their words

  A companies that have locked up, you know, and and don't have commitment issues, you know, have these 5-year contracts for compute, they've kind of locked in a humongous margin advantage because they've locked in compute for 5 years at a price of what it transacted at 5 years ago or three years ago or two years ago, whatever it is.

  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

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.

• Our readingkorrents.com

  Companies should offer dual career tracks so product managers can advance without becoming people managers.

  Their words

  Companies should embrace multitrack job ladders for product managers who prefer product leadership to people management.

  Best Books for Product Managers [2026]bringthedonuts.com

Vice chairman of Ogilvy & Mather Group, the advertising agency; author of Alchemy (2019) and the Wiki Man columnist at The Spectator.

• Our readingkorrents.com

  Entrepreneurship resembles gambling rather than chess, because the large payoffs cannot be identified in advance.

  Their words

  you don't find entrepreneurs in chess clubs. You find entrepreneurs in casinos. They're playing poker. They're playing bat gam. You know, they're playing games of chance with an occasional very high payoff. And a lot of life is exactly like that, but you don't know where the huge payoff's going to come in advance.

  youtube.com

Co-founder and chief scientist of Safe Superintelligence Inc., and previously co-founder and chief scientist of OpenAI.

• Our readingkorrents.com

  AI should be deployed incrementally and in advance, because a system that does not yet exist is one almost nobody can imagine.

  Their words

  one of the one of the ways in which my thinking has been changing is that I now place more importance on AI being deployed incrementally and in advance.

  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

• Our readingkorrents.com

  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

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

  Language models supply robots with the one thing self-driving never had: common sense about what is likely to happen next.

  LLMsself-driving cars

  Their words

  uh common sense meaning the ability to make inferences about what might happen uh that are reasonable guesses but that do not require you to experience that mistake and learn and learn from it in advance that's tremendously important and that's something that we basically had no idea how to do uh about 5 years ago but now uh you we can actually use LLMs and VLMs ask them questions and they will make reasonable guesses

  youtube.com

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

• Our readingkorrents.com

  GPT-5 was an ordinary incremental advance, and the gap between what was promised for it and what shipped is the story of the field.

  OpenAI

  Their words

  People had grown to expect miracles, but GPT-5 is just the latest incremental advance.

  garymarcus.substack.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.

• Our readingkorrents.com

  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

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.

• Our readingkorrents.com

  Impressive-looking benchmark improvements often result from comparing against a poorly-tuned baseline rather than a genuine advance.

  benchmarks

  Their words

  It's easy to get impressive-looking results if you're comparing against a poorly-tuned baseline, and that observation turns out to explain a surprising fraction of supposed improvements.

  blog.nelhage.com

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.

• Our readingkorrents.com

  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

Co-founder and CEO of Anthropic; previously VP of research at OpenAI.

• Our readingkorrents.com

  AI will structurally advance human health and reduce poverty, but there is no strong reason to expect it to structurally advance democracy or peace.

  Their words

  Unfortunately, I see no strong reason to believe AI will preferentially or structurally advance democracy and peace, in the same way that I think it will structurally advance human health and alleviate poverty.

  Machines of Loving Grace (October 2024)darioamodei.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

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

Writes Useful Fictions on agency and how to get better at things; a former appellate lawyer and the top-ranked woman in professional poker in 2017.

• Our readingkorrents.com

  You cannot predict which conversations will be useful, so the way to find opportunities is to take many meetings with no obvious benefit.

  Their words

  What I discovered by casting a wide net was that I have very little ability to predict how useful a call will be in advance.

  How to be more agenticusefulfictions.substack.com

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

• Our readingkorrents.com

  No amount of animal testing can guarantee a drug is safe in humans, so human volunteers must carry some irreducible risk for medicine to advance.

  Their words

  Biology is unpredictable, especially when the immune system is involved, and there is no guarantee that a drug that appears safe in animals will be safe in humans.

  atelfo.github.io

Founder of Amazon in 1994 and of the space company Blue Origin in 2000.

• Our readingkorrents.com

  The things worth building a business around are the ones that will not have changed in ten years, and those are identifiable in advance.

  Their words

  And I would encourage anybody, if anybody listening to this is an entrepreneur, has a small business, whatever, think about the things that are not going to change over 10 years. And those are probably the big things.

  youtube.com

Economist at George Mason University. Writes Overcoming Bias on prediction markets, signalling and the far future, and wrote The Age of Em and The Elephant in the Brain.

• Our readingkorrents.com

  Governments should pay a lot for children and let the people who respond reveal which cultural compromises are acceptable, rather than deciding in advance which value to give up.

  Their words

  It seems to me that an attractive robust approach is to have governments pay lots for kids (at no cost or risk to them!) and then let those who respond to these incentives tell us which compromises seem most attractive.

  A Fertility Reckoningovercomingbias.com

Writes Nintil, long researched essays on metascience, biology, economics and whatever he has decided to read the literature on.

• Our readingkorrents.com

  How science works can be reasoned about in advance, because the activity has invariants that do not change over time.

  Their words

  If we know the invariants of the problem at hand we can make assertions about the best way to solve that problem now and in the future.

  Metascience: invariants and evidencenintil.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