Imagine if Boston (Massachusetts, really) allowed for more fun stuff to happen throughout the year? Not just when there's a major sports event? What's happening in and around Boston right now is a glimpse of what life here could be like, if more of us stopped being such Puritans!

If this doesn’t radicalize you into founding your own open source AI lab, I don’t know what will.

US policy is becoming clear. They don’t want natural intelligence coming in or artificial intelligence going out.

Tired of text-to-SQL and “agentic analytics” demos where the real bottleneck is data engineering? Me too. The next frontier is not data agents answering questions but changing the data estate. Introducing GitLake!

Why did private firms, not state-owned enterprises (SOEs), come to dominate China’s EV sector? My new @ChinaJournal article (co-authored with Xiao Ma @maxiaoalex) challenge the "top-down industrial policy" narrative. The real engine? Strategic alliances between local governments and private capital. 🧵 Based on 3 years of fieldwork, 60 interviews (with officials, entrepreneurs, and engineers), and rich first-hand accounts, we show how strict central regulations inadvertently drove local states to bet big on private EV players. Here is the story: (1/15)

Everyone, please join Project Tapestry thealliance.ai/projects/tape…

Breaking: El Niño begins! NOAA has officially declared the start of El Niño today. After months of anticipation, the criteria has been met with East Pacific Ocean Temps rising at a record pace. The models have been consistently advertising a “historic” event, very possibly the strongest on record by fall. #ElNino

Delighted to tell you that Messy Jobs is coming out on June 21st. The kindle preorder link is available! Here are advance reviews/blurbs for you to ponder by @raffasadun @davidautor @patrickc @alexolegimas @bengtmit and Evan Guo. "Messy Jobs is a brilliant application of price theory. AI changes what is scarce in the economy and therefore what is valuable. When intelligence becomes cheap, judgment, coordination, trust, and responsibility become more valuable. The authors use this simple, powerful logic to illuminate how AI will reshape work and organizations." Bengt Holmström, Paul A. Samuelson Professor of Economics at MIT and recipient of the 2016 Nobel Memorial Prize in Economic Sciences "In Messy Jobs, Garicano, Li, and Wu bring the discipline of organizational economics to a question too often left to speculation: How will AI actually reshape work? They move past the usual debates about what AI can or cannot do and ask the harder questions. What shapes the incentives to adopt it? How does adoption reshape the incentives to learn? What new configuration of skills will emerge as AI advances? A rigorous, original, and engaging account of how AI will reshape organizations and labor markets, and what it will take to thrive in them." - Raffaella Sadun, Charles Edward Wilson Professor of Business Administration, Harvard Business School "This is the first book in the AI era that recognizes that most of what organizations struggle with does not involve computational problems. People in messy jobs must hold coalitions together, adjudicate between competing interests, and make change stick. These are political, diplomatic, and interpersonal challenges. As a result, these types of messy jobs will persist well into our AI future. Garicano, Li, and Wu, are neither techno-utopian nor techno-dystopian. They take seriously what machines can do, what humans will do, and how jobs will be rebundled. The economics analysis is lucid and penetrating, and the book pinpoints where human agency will remain paramount. The book is hopeful and practical for anyone charting a career in the coming decade." - David Autor, Daniel (1972) and Gail Rubinfeld Professor, Google Technology and Society Visiting Fellow, Margaret MacVicar Faculty Fellow, MIT Department of Economics "This is simply a must-read book if you are interested in the future of work in the age of AI. For decades, Luis Garicano has been a leading voice in how organizations morph and change with new technology and innovation. Together with Jin Li and Yanhui Wu, they have written the definitive text on how AI will affect the labor market. The book is an impressive feat of combining academic rigor with clear explanations and concrete examples. I would recommend this book to anyone interested in learning about what comes next. "- Alex Imas, director of AGI Economics, Google DeepMind, and the Roger L. and Rachel M. Goetz Professor of Behavioral Science, Economics, and Applied AI, and Vasilou Faculty Scholar at the University of Chicago Booth School of Business "There is a lot of woolly thinking on the topic of AI and jobs. This excellent book contains by far the most thoughtful and economically literate account that has yet been written." - Patrick Collison, CEO, Stripe "AI is not going to lead to mass unemployment, and this is the best book to explain why not. It also illuminates how labor markets are likely to evolve. It is short, to the point, eminently readable, and of extreme relevance. ""- Tyler Cowen, professor of economics at George Mason University "This book isn't just some economist's armchair theorizing; it's a practical guide. I hope you get as much out of it as I did. "-- Evan Guo, CEO of Zhaopin Group, the largest career development platform in China amazon.com/Messy-Jobs-Work-C…

You think rewriting Bun in Rust with agents is fun? How about rewriting Git into a memory-safe Rust library? A few weeks and 45B tokens in, the new Grit project is passing 99.3% of the entire 42k test Git testing suite.

Check out my harrowing tale of agentic adventure: blog.gitbutler.com/true-grit

RT @tunguz: Our Anthropic overlords deciding which prompts the peasants are allowed to use.

Fable is a good model. As with all new models, it is simultaneously excellent and entirely unremarkable (relative to other models). It is slow and expensive, and the "loops are all you need" discourse they are pushing is obvious in the context of someone using Fable-class models What I've found so far is that for broad scope design (code architecture) tasks, Fable is unremarkable. Or, not better enough to justify its cost and speed. But in highly targeted goal-oriented loops, it is another beast entirely. It is very slow but produces very good results. I let it churn on optimizing a SwiftUI-layout resolver in Go I wrote and it was able to bring it down to an order of magnitude I could not reach myself (micro => nanosecond scale). But it took 2 hours and $40 to do it and I had to claw back some changes it overfit to Apple Silicon. Still, very worth it. In comparison, for "implement this feature/change" iterative work, I ran head-to-head Fable vs GPT5.5 vs. GLM-5.1. They all produced equally acceptable final results, but GPT5/GLM did it in a couple minutes and Fable was churning away for 40 minutes. And GLM cost me less than a dollar, GPT5.5 ~$1.50, and Fable cost $9. You can see that in this context, interactively working with an agent is nonsense. Its too slow. You need to write loops to keep the agent working and you probably want to highly parallelize the work being done. As with all things, I think a balance makes sense... My sense is that I'd reserve Fable for targeted, surgical analysis and work. Not for daily driving everyday tasks. I'm going to keep spending a shitload of money (relatively) and maining Fable for the rest of the week to continue to judge, will report if anything changes. I'll continue to head-to-head as well.

Plot twist 🤣 - but full respect.

Good god this is a crazy interview. Listen as Scott Pelley describes how Bari Weiss wanted journalists at CBS to cover the killing of Renee Good in Minnesota. This is why we can’t have oligarchs running our news outlets, this is absolutely devastating.

Thanks for your critique, Janet. We actually tried a couple of episodes where House (Hugh Laurie) (please put the brackets in the right place) gets it right first time, but they were only 6 minutes long. NBC weren’t happy. Then we tried some where House never gets it right and the patient dies. The audience wasn’t happy. One could apply your trenchant analysis to other art forms: JS Bach wrote 30 Goldberg variations on the same chord structure; Frida Kahlo painted 50 portraits of herself; Henry Moore, what?? The point is, or was, variations on a theme; if all you see is hospital, medical blah blah, then it wasn’t meant for you. Nonetheless, I look forward to your first novel!

Ok I know the Big Dig took forever but what if we just covered up Storrow Drive with more Esplanade

Why I'm taking this DwarfStar thing so serious? It is from the times of Redis that this didn't happen. I believe strongly in local inference, as a safety net. But there is more: I enjoy doing this stuff. So at 50 you are still not wise enough to avoid doing new stuff. So lame.

A measurement framework translating advanced ball-tracking physics into the cricket language we use every day. This is foundational for understanding and discussing one of the most unique aspects of our game. medium.com/boundary-line/the…

Me: Give me a concise answer GPT-5.5: Okay, let me recite Homer's Iliad

Building apps has never been easier. With Sites, Codex can turn your work, ideas, and plans into an interactive website or app your team can explore, use, and share with a URL. Rolling out to Business and Enterprise plans, before expanding more broadly.