Related posts

CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.

• Our readingkorrents.com

  Open source wins because agents can train on it and use it efficiently, as with Blender beating its competitors.

  open source

  Their words

  Blender beats all its competitors because it's optimal in the most important dimension: agents can train on it and use it efficiently. OSS wins.

  @rauchg on Xx.com

CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.

• Likedrcmnd.app

  Blender

  Their words

  Open source training data Blender beats all its competitors because it's optimal in the most important dimension: agents can train on it and use it efficiently. OSS wins.

  x.com

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

• Our readingkorrents.com

  AGI is not a finish line to be crossed but a smear with width, and we are already standing on it.

  AGI

  Their words

  some bits of AI are way across the finish line, some bits are like maybe in the middle of it. Who knew the line had dimension? The finish line is actually this sort of smear. And I think the best answer you can give is like we're on the smear.

  youtube.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

  Technological development trajectories often display increasing returns, which entrench early paths and crowd out alternatives.

  Their words

  What we do know from economics, is that trajectories of technological development are often associated with increasing returns.

  The Acemoglu Wars Are All About AIprogrammablemutter.com

Mathematician and Senior Lecturer in the Mathematics department at Columbia University. Author of the book Not Even Wrong and of the long-running physics blog of the same name.

• Our readingkorrents.com

  Cumrun Vafa's 'dark dimension' torsion balance experiment does not amount to a genuine testable prediction of string theory.

  economists

  Their words

  This is complete nonsense, a shame that The Economist has been taken in by it.

  This Week’s Hypemath.columbia.edu

Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.

• Mixed onrcmnd.app

  Clean Code

  Their words

  Clean Code is another standard recommendation, but that one wasn't for me. There are useful design principles in there worth studying, but the book as a whole is too narrow and a bit too dogmatic for my taste. Your mileage might vary.

  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

Chief Product and Technology Officer at Netflix, previously VP of Science at Lyft and an economist at Analysis Group.

• Our readingkorrents.com

  What made Netflix fast — local teams building whatever stack they needed — stops working once agents operate across systems; common paved paths now matter more.

  Their words

  In a world of AI with agents operating across multiple systems, wanting source of truth data, the importance of having preferred paved paths that get the most of the benefits and produce some guardrails so we can make sure we're doing good work, common infrastructure, common paved paths, solving problems once with a core set of capabilities becomes more important.

  youtube.com

Founder of HumanLayer; wrote 12-Factor Agents, on how to build AI agents that hold up in production.

• Our readingkorrents.com

  What made Claude Code better than every CLI coding agent before it was reinforcement learning on the model and the harness together, so the model got good at that harness’s specific tools.

  Anthropic

  Their words

  But it's basically this idea that like the only thing that made claude code good was reinforcement learning. And the dimension along which it got good was like we made a model. We trained the model and the harness together. And so the model got really good at calling the specific tools in that harness.

  Context engineering with Dex Horthyyoutube.com

Writes The Convivial Society, on technology and the moral life — what our tools do to attention, memory and how we treat each other.

• Our readingkorrents.com

  The sadness around AI comes from being invited to outsource exactly the activities that supply satisfaction, accomplishment and purpose.

  Their words

  I believe that one dimension of this sadness or demoralization can be attributed to the simple fact that we are increasingly invited to outsource a class of activities that grant us a measure of satisfaction, accomplishment, and purpose.

  Do Not Resign From Lifetheconvivialsociety.substack.com

Writer and developer. He runs the Latent Space newsletter and podcast about AI engineering, and writes essays on software and careers at swyx.io.

• Our readingkorrents.com

  The people who run the world are not smarter than anyone else, and even well-meaning ones often only offer paths not worth pursuing.

  Their words

  the world is run by people no smarter than you - and even people that genuinely mean well, end up only prescribing games that you don't want to win.

  What you can do in a decadeswyx.io

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

• Our readingkorrents.com

  Technological determinism is only believable low down the tech tree; higher up we already choose which paths not to take.

  Their words

  I'm willing to buy it sort of low enough down when, you know, progress is relatively simple, um, but but higher up you start to get to shape the way in which you you do the exploration and it's interesting, you know, people we are starting to shape it in in in interesting ways.

  youtube.com

Co-founder of Sundial; former vice president of product design at Facebook; author of The Making of a Manager; writes The Looking Glass.

• Our readingkorrents.com

  Every strength is its own weakness and every weakness is a strength; nobody gets every dimension of themselves to a hundred percent.

  Their words

  And I am a very big believer that every strength is its own weakness and every weakness is a strength. There's no such thing as you're going to somehow, you know, get every dimension to be 100%.

  youtube.com

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.

• Recommendstheir ownrcmnd.app

  The Pathless Path: Imagining a New Story For Work and Life

  Their words

  My personal exploration of breaking free from conventional career paths to discover a more intentional and meaningful way of working and living.

  pathlesspath.com

Engineer and writer on machine-learning systems; author of Designing Machine Learning Systems and AI Engineering. "I work to bring AI into production. I write about AI system design."

• Our readingkorrents.com

  Planning is fundamentally a search problem: explore paths, predict outcomes, and pick the best one.

  Their words

  Planning, at its core, is a search problem. You search among different paths towards the goal, predict the outcome (reward) of each path, and pick the path with the most promising outcome.

  Agentshuyenchip.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.

• Likedrcmnd.app

  Site Reliability Engineering: How Google Runs Production Systems

  Their words

  a good overview of SRE at Google. For those who worked at places with oncall, much of the first part of the book will likely be very familiar. Keep in mind that your mileage might vary: what works at Google scale, might not be the ideal fit for your use case.

  blog.pragmaticengineer.com

Software engineer and writer; former CTO of Wave, now at Anthropic. Blogs at benkuhn.net on attention, engineering management and doing hard things well.

• Our readingkorrents.com

  It is rare to find one person who is great at every dimension of team leadership.

  Their words

  Team leadership covers a huge array of things-as you can see from how long this post is-and trying to find someone who can be great at all of them is often a unicorn hunt.

  Categories of leadership on technical teamsbenkuhn.net

Research scientist at Meta in Berlin working on multilingual models and evaluation; led the multilingual team at Cohere and was a research scientist at Google DeepMind before that.

• Our readingkorrents.com

  Current large language models still struggle to compose operations into correct multi-step reasoning paths.

  LLMs

  Their words

  Overall, current LLMs still struggle with composing operations into correct reasoning paths.

  NeurIPS 2023 Primerruder.io

Designer, architect and scientist, who led the Mediated Matter group at MIT and founded OXMAN, a company that builds products in collaboration with living organisms.

• Our readingkorrents.com

  The way we make things is out of tune with the time dimension of the natural world, and that has to change even if it means designing on the scale of centuries.

  Their words

  And the way of being in the physical world today is really not in tune with the time dimension of the natural world at all, and that needs to change.

  youtube.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.

• Likedrcmnd.app

  Wild Problems

  Their words

  How to improve your HUGE major life decisions, like whether/who to marry, whether to have kids, where to live, career paths, and such — where you can’t use the usual checklist/data approach. This economist addresses self-identity, “deepest self”, and “something I was meant to do”. You can’t use a pro/con checklist with an item that says “lose respect for myself”.

  sive.rs

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

• Mixed onrcmnd.app

  BESV PSA1

  Their words

  Despite these flaws I put hundreds of kilometers on this thing in the first month. The front and rear suspension turn every road to glass, and are even fine for dirt trails; I find myself hunting down paths through parks I'd never otherwise think about.

  craigmod.com

Economist; former chief economist of the International Monetary Fund.

• Our readingkorrents.com

  Fiscal multipliers vary across time and place but are generally nonzero, positive for spending, negative for taxes, and larger when monetary policy cannot offset them.

  JavaScript

  Their words

  Multipliers are likely to vary a lot over time and space, but the bulk of the evidence is that they are different from zero, positive for spending, negative for taxes, and that they are stronger when monetary policy does not or cannot react to fiscal policy.

  Fiscal Policy under Low Interest Ratesdirect.mit.edu