Tuhin Chakrabarty

@tuhinchakr.bsky.social

Assistant Prof @sbucompsc @stonybrooku. Researcher → @SFResearch Ph.D. → @ColumbiaCompSci Human Centered AI / Future of Work / AI & Creativity

I get 5+ emails *a day* from prospective PhD students. I have seen some advice going around about what to write in these emails. Here's my piece of advice: don't waste your time. Or your tokens. #phdadmissions Or, if you really insist...

In case English Bluesky missed it, El País found that tons of self-published Spanish books — including a bestseller by the alt-right politician Alvise Pérez — seem to include AI text. So do a much smaller proportion of traditionally published books.

How much AI is in Spain’s bestselling books?

EL PAÍS analyzed 175 popular titles using the Pangram detector. There was no trace of AI in 2019, but now one in three self-published bestsellers is written mostly with artificial intelligence, includ...

english.elpais.com

Really interesting research that gets at some of the challenges to AI detection that I covered anecdotally in my Businessweek profile of them!

Kevin Ren@kevinren09.bsky.social · last wk.

Excited to share my first PhD paper, “Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift” (accepted to #NeurIPS2026)! We frame AI detection as a continual learning problem, robustifying models to shifting human/AI writing. (1/N)

Very glad to have @kevinren09.bsky.social 's first PhD paper out. AI text detection (aka Pangram) is very impressive. But when do we expect it to work? We warn that distribution shift is [still] a major issue -- (1) performance suffers in adversarial settings and with new LLMs

Kevin Ren@kevinren09.bsky.social · last wk.

Excited to share my first PhD paper, “Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift” (accepted to #NeurIPS2026)! We frame AI detection as a continual learning problem, robustifying models to shifting human/AI writing. (1/N)

I’m giving a talk at Kenyon tomorrow — come one, come all, by the way! — and the reading material at the hotel is ISSUES OF THE KENYON REVIEW. I AM BASICALLY ROOSTER. This is the best.

Bild

Over the weekend I was on a panel about AI in books and I said that publishers have always been so careful about fair use -- you can use maybe a line or two from a song but never any more -- and then the tech bros were like, we are entitled to all books. They belong to us now. Fuck you.

Great profile of the leading AI detector, Pangram, and the people behind it—including a former English major who wrote a thesis on Ishiguro (me too). Fascinating snapshot of our cultural moment with AI, and a sober reflection on the future of the internet, teaching, and human communication.

Vauhini Vara@vauhinivara.bsky.social · last mo.

I profiled the startup behind Pangram, the AI detector everyone’s talking about. It works really, really well. I wanted to understand how they did it. and also: why people still don’t trust them. (also, news: Penguin Random House is using it.) gift link! ✨

BMC is a pooled metric should not be surprising ? It was explicitly mentioned. k=5 is deliberately sensitive and does contribute to BMC but central extraction doesn’t depend on 5 word matches. Some books have 24-69% of entire text covered by exact spans > 50 words and single generations > 100 words

A. Feder Cooper@afedercooper.bsky.social · 2mo ago

Prospective copyright plaintiffs have started asking me my opinion about citing "Alignment Whack-a-Mole" in litigation. It reports that fine-tuning makes frontier LLMs reproduce up to 85-90% of copyrighted books. I don't think the headline results hold up: afedercooper.info/whack-a-mole/