tylercowen (@tylercowen) profile picture

new book *Talent: How to Identify Energizers, Winners, and Creatives Around the World*, https://teapaw.org/t.co/7bU5cTWLzc, Conversations with Tyler, The Free Press.

Joined August 2007
Photo by tylercowen (@tylercowen)Photo by tylercowen (@tylercowen)Photo by tylercowen (@tylercowen)Photo by tylercowen (@tylercowen)Photo by tylercowen (@tylercowen)
What an opening stint for AJ “The Blueprint” Dybantsa, who starts off his opening debut with 9 points on 3/3 shooting in just six minutes of action. The Wizards have themselves a basketball player.
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Econ PhD job market candidate database is live for 2026-2027 - 678 candidates from 86 institutions so far - this year aiming to add all Bschool Econ adjacent PhDs - filter by field/institution and JMP title/abstract - JMCs can update their own records - connect Codex/Claude Code to the database as you please Dm/comment as new schools post their JMCs and I’ll add them, or if you have issues econ.now/candidates
I'm making a database of every 2025-2026 econ PhD job market candidate: econ.now/candidates - 18 institutions and 307 candidates so far - Filter by institution/field/advisor - CVs, JMPs, links to candidate site Will be adding every finance/econ candidate over coming weeks!
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tylercowen retweeted
I’m hiring an NYC-based Managing Editor for @stripepress. The ideal person for this role has substantial editorial experience at a publishing imprint or another publication and is fluent in our universe of ideas, but ideally isn’t my (or our) ideological twin. Stripe Press is a small team with an unusual amount of autonomy. Right now we’re obsessively focused on the future: expanding our catalogue, rethinking our assumptions about the kinds of books we publish (fiction!?), and thinking about how to connect our readers w/ one another beyond the pop-ups we’ve been hosting since 2022. Hoping to meet a lot of brilliant people who love books and are excited about building a world-class publishing institution: stripe.com/careers/listing/m…
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Roman Mars has spent years telling stories about the design choices hiding in plain sight. His TED Talk on city flags is estimated to have sparked 250+ municipal flag redesigns, including one in a city he publicly called out for having the worst flag in America. Some of Tyler’s questions for Roman in this episode, ranging from why classic cars looked so much better than today’s SUVs, to why American currency is “locked in amber,” to how you’d warn a future civilization about buried nuclear waste: · Where in the world are street signs the most attractive? · Why did cars get so much more boring-looking over time? · Do Waymos look good, or just strange? · Do New Jersey’s jughandles actually work? · Why does Houston keep growing despite having little aesthetic appeal? · Is there a single beautiful post-war American suburb? · Why was the Chrysler Building so unpopular when it opened? · Does brutalism age well, or badly? · What did Jane Jacobs get wrong? · Are global coffee shops and cities becoming placeless? · Why does the iPhone look boring now? · What’s the ugliest country you’ve visited? · What’s your favorite currency design, and why is the US dollar dead last? · Should America bury its power lines? · How do you warn a future civilization about nuclear waste for thousands of years? · Why do highway signs lie to you about the speed limit? · What makes a city flag actually work? · What’s the most unusual habit behind your productivity? Watch the full conversation with Roman Mars and @tylercowen here, or search for Conversations with Tyler wherever you get your podcasts. youtu.be/TZdoYBGUBYI?si=Li5a…
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It was incredible to work with Stanford, the O*NET Resource Center, and the National Bureau of Economic Research to build TaskNet. As AI radically changes jobs in the economy, we need a better taxonomy to evaluate what it can do.
Workers in six occupations do 79 tasks the government's official occupational taxonomy has yet to add. That work is worth about $140B a year in wages. That taxonomy is called O*NET, the U.S. Department of Labor's database of the tasks each occupation involves. Workers use it to help with job transitions, and economists use it to estimate which jobs AI will change. If the lists are incomplete, so are the estimates. Today we're releasing TaskNet, an open-source task catalog built on O*NET and updated for how AI is changing work. Built with researchers from Stanford, the O*NET Resource Center, and NBER. Thank you to @robinsonaisaac @erikbryn @diyi_yang @jennjwang @andreas_h0wpt @Digeconlab @stanfordnlp @stanfordhai @stanfordAIlab for contributing to this work. Read the blog: mercor.com/blog/introducing-…
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tylercowen retweeted
It's a week into the season and the NBA is averaging the most possessions per game, shortest average possession length, highest average pickup distance, and most possessions with at least three offensive players crashing in the tracking era. Playing very hard for 82 games!
I am not an injury expert, but I hope the NBA is doing a lot of honest self-assessment with injury experts to determine why this volume of injuries is already occurring.
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tylercowen retweeted
Important piece thinking through the potential implications of AI cryptographic advances. Last week’s PHP vulnerabilities an early warning.
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I’m hiring a Chief of Staff to be my right hand across everything I do at Cosmos. That starts with Cosmos Institute (@cosmos_inst), the nonprofit I founded after selling two AI companies, having two kids, and thinking hard about the good life and the good society. Through the Institute, we do research internally and with fellows from @GoogleDeepMind, @AnthropicAI, @OpenAI, @Microsoft, and academia, have given out 200+ grants to build fast prototypes, and we’re launching a big new in-person bet for higher education in 2027. This side of my work also includes @UniofOxford, where I co-teach a graduate seminar on philosophy and AI and support the Human-Centered AI Lab (HAI Lab), as well as a book I’m writing on human autonomy in the age of AI. On the venture side, you’ll work with me across Cosmos Ventures (@cosmos_vc), our new $77.6M fund backing founders building new institutions for the AI age. Our early portfolio includes companies like AIUC (@aiunderwriting), @PrimeIntellect, and Workshop Labs (acq. by @thinkymachines), with several more to be announced soon. We’re also going to be incubating new companies in 2027. You’ll come in, do this well for two years, and if you want to build a thesis-aligned company or a nonprofit next, we will back you, or place you at a top company in our community. The role is based in Austin, with relocation provided. To apply, read our essays and tell us where we’re wrong: docs.google.com/document/d/1…
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tylercowen retweeted
Spent the whole day yesterday visiting Harvard Econ, and after talking with a ton of grad students, I couldn’t agree with this more. So many interesting, fresh ideas with huge implications for how we think about Econ of AI.
i feel so excited for econ majors these days — there’s so much alpha in knowing the discipline well and applying it to ai alignment seems important to study - game theory - collective action problems - invisible incentives to better understand - swarm behavior - revealed preferences - how the invisible hand guides agent behavior more than individual alignment what are ppl reading in the overlap of these two domains?
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.@NSF is hiring the inaugural Head of its Office of Metascience to apply the scientific method to how we fund, organize, and evaluate research. Continuous improvement will accelerate discovery. If you care about the science of science, apply:
nsf.gov/careers/openings/od/…
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In this week's roundup, I discuss why I joined @coral_capital as a side gig! It's time to reindustrialize Japan! noahpinion.blog/p/roundup-90…
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tylercowen retweeted
Grateful to the excellent @tylercowen for articulating why I never found the "Who's on First" skit funny, even as a pun-lover. Tyler's close reading points out what's right there on the surface, rancorous & unpleasant (with an excellent last line point). marginalrevolution.com/margi…
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This is still pretty impressive
AI productivity gains are showing up, but only in ~15% of jobs. The three heaviest AI adopters (information, professional services, finance) went from a 2.2% productivity trend to 5.0% since 2022. The rest of the economy: 0.9% to 1.4%.
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