AI is increasingly used to find errors in research. But which ones actually matter and deserve our attention? Our new paper with @ellliottt and @sergallet maps the logic of economic models into claim graphs to assess how much an error changes their conclusions.

By every measure, Opus 4.8 beats human experts as peer reviewers in a study of 124 Harvard social science papers covering a range from statistical analyses to formal models to qualitative work. As academics, we need to figure out how to adapt the practice of science to AI, fast.

I have a different take from some Fields medalists, whom I greatly respect. My advice to PhD students: make sure your bots 🤖 are working 24/7.

76 milliards = 106 milliards. CQFD

J'ai demandé à Opus de faire un résumé de cette affaire sur la base de diverses sources, dont la petite partie qui y est consacrée dans mon livre de janvier prochain.

C'est HISTORIQUE: Bercy publie pour la 1ère fois le poids réel des pensions dans le budget de chaque ministère. Attention, ça pique: 32% du budget de l’Éducation nationale et 30% du budget de l'Intérieur part en réalité dans... les retraites Tous les ministères sont concernés⤵️

Finally a reasonable take on this Terence slide.

Bocconi Economics is hiring! Two tenure-track Assistant Professor positions for JUNIOR candidates (PhD students or PhD on/after Sept 1, 2023). All fields, start Fall 2027, 8-year tenure-track contract. Deadline: November 15, 2026 Links below 👇 #EconJobMarket #EconTwitter

Enfin un mec qui ne raconte pas n'importe quoi sur Pangram

On the French AI novel: so many reflexively claiming bias or saying "you can't detect AI writing". I will donate $1000 to the charity of your choice if you show me a single literary French text of 1000+ words, pre-2022, with Internet Archive link, that is 100% AI on Pangram. 1/2

Sounds almost tol good to be true

Bocconi Economics is hiring! First up: Two tenure-track Assistant Professor positions for EXPERIENCED candidates (PhD before Sept 1, 2023). All fields, start Fall 2027, 6-year tenure-track contract. Deadline: Oct 5, 2026 Links below 👇 #EconJobMarket

lemonde.fr/pixels/article/20… Une décision aux conséquences potentiellement lourdes pour la jeunesse...

I feel like the debate over AI in academic journals is way too focused on where the capabilities of AI are today (or even where they were a couple years ago) and not nearly focused on where they will almost certainly be in the coming years… … and publication takes many years.

The *consensus* among researchers is that AI will, in next 10 yrs, 1) cure major disease classes, 2) permit work life with much less toil and physical danger and much higher incomes 3) change how wars are fought, 4) create tremendous risk from bad actors and loss of control. 1/3

This. Let's just do this.

🦔AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they're free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain "all the books in the world." My Take This got to me. A bookseller told 404 Media that rare books with almost no surviving copies are being fed into this pipeline. Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email. ISBNdb's website literally says "'AI company destroys two million books' is not a headline that generates sympathy," and they still built an entire business around making it happen quietly. They offer NDAs as a feature. They coach clients to call it "digital preservation." I've covered AI companies scraping the internet, torrenting libraries, and stealing music. This is worse because it's irreversible. You can re-upload a website. You can reprint a bestseller. You can't replace the last three copies of an 18th-century botanical text once someone shreds them for training data. And the judge said it's legal. So it's going to accelerate. "We shred rare books and offer NDAs so nobody finds out" is a legitimate business model in 2026. What a timeline. Hedgie🤗