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Professor of finance at NYU's Stern School of Business, known for his work on valuation. He publishes his data, spreadsheets and classes free at Damodaran Online and writes the Musings on Markets blog.

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  Applying scale-first, profit-later to every business is a cookbook that turns small failures into big ones.

  Their words

  Any investor or founder who blindly follows the pathway of scaling first and profiting later for every business is using a cookbook approach to business building, and runs the risk of making small failures into big ones.

  aswathdamodaran.blogspot.com

Writes Don't Worry About the Vase, a near-daily account of what is happening in AI and what they think it means. Former Magic: the Gathering pro and trader; unusually willing to put a number on a belief and to grade their own past calls.

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  OpenAI's approach to fixing its AI alignment problems is fatally flawed and misdirected.

  AI alignmentOpenAI

  Their words

  My worry continues to be that their fundamental approach is fatally flawed, and they are not focusing on the right things.

  thezvi.substack.com

Engineering leader on Google Chrome; writes about web performance and, lately, about working with AI coding tools.

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  Heavy AI use erodes understanding first and judgement second: cognitive debt turns into cognitive surrender, where the model's answer simply becomes your answer.

  Their words

  the first is cognitive debt. So the more that you use AI, it's it's sort of the erosion of your ability to have good memory and have good understanding of the problems that you're working on. And the natural follow-up to that is cognitive surrender, which is where you, you know, you blindly give in to whatever the AI says as your answer.

  youtube.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.

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  AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model.

  Their words

  So we conjectured that the lack of data was a huge part of the reason that's the lack of progress in AI. So we took a departure from everybody else who are really focusing only on algorithm and said that we need data. we need data to drive these algorithms.

  youtube.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.

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  Build on a customer problem somebody viscerally feels and would pay to fix, because it is very easy to imagine one that nobody does.

  Their words

  something we learned from YC uh was that the importance of focusing on very concrete easy to explain customer problems. Like it's it's very easy to to hallucinate or to you know imagine some customer problem that's not actually something viscerally felt by a person who would pay money.

  youtube.com

Writer and teacher on productivity and personal knowledge management. Author of Building a Second Brain and founder of Forte Labs, which runs the course of the same name.

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  Claude Connectors

  Their words

  This is why I recommend ignoring the vast web of custom and “community-built” MCP servers you can find out there, and focusing your attention on the two safer bets instead

  fortelabs.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.

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  Even the most advanced AI cannot be followed blindly in investing, where value added is zero-sum and what is widely known is therefore worth little.

  Their words

  I know through my experiences that even the most advanced artificial intelligences don’t have adequate enough insights to allow one to blindly follow them and that unique human understanding and insights are still invaluable, and that that is especially true in investing where value-added is a zero-sum game (so that, when it comes to adding value, what is widely known is of little value.)

  Principled Thinking and AI Need to Go Togetherraydalio.substack.com

Co-founder and CEO of Snap Inc., the company behind Snapchat, which he started in 2011 while studying product design at Stanford.

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  There is going to be a huge amount of societal pushback against AI, because technology leaders wrongly assume people adopt whatever ships.

  Their words

  I think technology leaders think that folks will just blindly adopt uh new technology as it comes out and I think we're going to enter a period of time where there's going to be a huge amount of societal pushback on a lot of the changes that are coming uh with AI.

  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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  Click

  Their words

  Another book by the authors of Sprint, this one focusing on the Foundation Sprint: how to identify your target customer and understand their problem

  bringthedonuts.com

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

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  Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot.

  Their words

  Uh and its perception is in service to fulfilling that purpose. And that is like a really great uh focusing factor. We know that for people this really matters. Like literally what you see is affected by what you're trying to do.

  youtube.com

FreeBSD developer and former FreeBSD Security Officer; founder of the Tarsnap online backup service and author of the scrypt key derivation function.

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  Working with the entire ecosystem produces better long-term results than focusing solely on your own organization's immediate needs.

  Their words

  While the same does not directly apply in other fields, working with others to produce the best results for everyone will be much better in the long-term than focusing solely on what Amazon needs right now.

  Thoughts on (Amazonian) Leadershipdaemonology.net

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

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  Current AI evaluation of world models is too narrow, favoring static representations learned from massive datasets over efficient learning through interaction

  Their words

  However, current understanding and evaluation of world models in artificial intelligence (AI) remains narrow, often focusing on static representations learned from training on massive corpora of data, instead of the efficiency and efficacy in learning these representations through interaction and exploration within a novel environment.

  arxiv.org

Writer and former McKinsey/BCG strategy consultant; author of The Pathless Path and Good Work, about leaving the default career track. Publishes the Boundless newsletter and podcast.

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  Young Money: A Field Guide to Wealth and Purpose in Your Twenties

  Their words

  Fantastic memoir of figuring it out in your twenties and alternatives to blindly pursuing the default path.

  pathlesspath.com

Growth advisor and operator who has led growth at Miro, Amplitude, Dropbox and SurveyMonkey.

From one piece 10 growth tactics that never work | Elena Verna (Amplitude, Miro, Dropbox, SurveyMonkey) 2 beliefs, in the piece's order there

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  As search turns into an AI interface, a company with no earned acquisition channel on its roadmap is in serious trouble within one to two years.

  Their words

  Focusing on these earned channels that you own becomes the utmost priority. And if you don't have them on your growth road map, you're going to be in some really big trouble over the next year to two years because your cost of acquisition is only going to go up.

  youtube.com

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  A full-time job is not the best way to monetise a skill; it is one package among several, and defaulting to it is a faulty plan.

  Their words

  And my contrarian opinion is that full-time jobs are not the best way to monetize the skill that you have. It's one of the packages that everybody should evaluate and take advantage of, but too many people blindly default to that package

  youtube.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.

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  The First 90 Days

  Their words

  When joining a new company, your perception is shaped massively in your first 3 months. It takes a lot of work to change that perception later. This book is a practical guide on how to be conscious in focusing on getting up to speed, faster. (My rating: ★★★★★)

  blog.pragmaticengineer.com

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

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  The point of a good memory is not to remember more but to remember better, because forgetting most of what you experience is what human brains are built to do.

  Their words

  What I say in the book is is that you don’t want to remember more, you want to remember better, which means focusing on the things that are important. That’s what our brains are designed to do.

  youtube.com

Writer of the blog Putanumonit and the newsletter Second Person, on rationality, dating and probability; based in New York.

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  Focusing on looks and status as a dating strategy is pointless, even though looks and status do matter in mate selection

  Their words

  It's not that looks and status don't matter, it's that focusing on looks and status as one's dating strategy is perfectly pointless.

  Whose dream bf is it anywayputanumonit.com

Designer and engineer; formerly principal research engineer at GitHub Next; writes at wattenberger.com.

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  We should want more tools and fewer operated machines; the real AI game changers will have little to do with plain content generation.

  Their words

  I want to see more tools and fewer operated machines - we should be embracing our humanity instead of blindly improving efficiency. And that involves using our new AI technology in more deft ways than generating more content for humans to evaluate. I believe the real game changers are going to have very little to do with plain content generation.

  Why Chatbots Are Not the Futurewattenberger.com

Physician and author on addiction, stress and childhood development. Wrote In the Realm of Hungry Ghosts and The Myth of Normal, and developed the Compassionate Inquiry approach taught to therapists.

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  Heal Squad

  Their words

  I spoke with @mariamenounos about the link between emotions and illness, and the importance of focusing on mental health, on her Heal Squad podcast. To listen to the full episode, please follow: https://t.co/XPIKAvi8tH

  x.com

Co-founded GiveWell and led Open Philanthropy; writes Cold Takes, on the most important century and how to think about it.

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  The track record of thoughtful people predicting the long-run future is mediocre rather than hopeless, which is enough to take such predictions seriously.

  Their words

  They weren't infallible oracles, but they weren't blindly casting about either.

  The Track Record of Futurists Seems ... Finecold-takes.com

Software engineer; co-founder and former CTO of Tailscale, previously on the Go team at Google.

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  The software industry misunderstands backwards compatibility by focusing on narrow legalistic definitions rather than outcomes.

  Their words

  We as a profession misunderstand and misuse the concept of backwards compatibility, both upstream and downstream, by focusing on narrow legalistic definitions instead of outcomes.

  log4j: between a rock and a hard placecrawshaw.io