Tuhin Chakrabarty

Why they matter

Researcher with public evidence across Culture, work & education, AI research.

AI signals
3
past 30d
Sources
3
distinct domains
Discussions
1
past 30d
Latest signal
4h ago
View every signal from Tuhin Chakrabarty →
Assistant Prof @sbucompsc @stonybrooku. Researcher → @SFResearch Ph.D. → @ColumbiaCompSci Human Centered AI / Future of Work / AI & Creativity

Articles & links

Tuhin Chakrabarty reposted
Ed Newton-Rex @ednewtonrex.bsky.social

Big news today: GERMAN COURT RULES AI MUSIC FIRM SUNO BROKE COPYRIGHT RULES Suno "has to provide information on illicit revenue", and "will have to pay damages". Wow. www.reuters.com/world/german...

reuters.com View on Bluesky →

Our paper can be found at the link below : arxiv.org/pdf/2607.20349 Many many thanks to friends at @pangram.com @max.pangram.com @jennarussell.bsky.social @bradleyemi.bsky.social for their encouragement and support with this research 💕

arxiv.org
View on Bluesky · ♥ 15 ↻ 1 ↩ 0 · 4 from the directory shared this · 41d ago
Tuhin Chakrabarty reposted
Melanie Walsh @mellymeldubs.bsky.social

How AO3 and Heated Rivalry fanfiction communities are dealing with the encroachment of AI-generated writing. h/t @tuhinchakr.bsky.social www.nytimes.com/2026/07/30/t...

nytimes.com View on Bluesky →
Tuhin Chakrabarty reposted
Maria Antoniak @mariaa.bsky.social

If you're going to cite that NBER report from OpenAI about "how people use AI," you've got to at least caveat it. We have no way to directly verify most of the report, and we do have at least one good reason, via indirect evidence and quoted below, to not trust it. www.nber.or…

How People Use ChatGPT nber.org
AI Weekly's analysis
  • ChatGPT reached about 10% of the world's adult population by July 2025, with 700 million weekly active users sending 18 billion messages per week.
  • Non-work messages have grown from 53% to more than 70% of all ChatGPT usage between late 2022 and July 2025, per the NBER paper.
  • Writing accounts for about 40% of work messages, and roughly two-thirds of writing tasks involve editing user-provided text rather than generating from scratch.
Read full analysis →
View on Bluesky →
Tuhin Chakrabarty reposted
Marzena Karpinska @markar.bsky.social

One more thing @tuhinchakr.bsky.social 's post reminded me of... people tend to rationalize and see things not there. We saw it already in GPT-2 stories - we *expect* things to *mean* something, so we tend to see things that are not there... (link to this old paper: aclantholo…

aclanthology.org View on Bluesky →

LLMs are not conscious. They do not have a perfect sense of embodiment. They are autoregressive models that generate text by sampling, more or less, from a very large pile of things other people wrote. Read my first essay on Substack 👇 tuhinchakrabarty.substack.com/p/ai-slop-g…

AI-slop , GrantaGate and Bad Writing tuhinchakrabarty.substack.com
View on Bluesky · ♥ 9 ↻ 0 ↩ 1 · 2 from the directory shared this · 108d ago
Tuhin Chakrabarty reposted
@dteater.bsky.social

Anthropic Stole This From Me www.nytimes.com/2026/08/24/o... We need regulations regulations and more regulations. Stop all data centers in their tracks.

nytimes.com View on Bluesky →

Recent commentary

🚨 New paper on AI & Copyright Using @pangram.com full-text AI detection, we study self-published genre fiction on Amazon, 2023–26. Amazon is flooded w/ books with substantial AI text. They earn real 💰 & crowd out non-AI books. w/ @dhillonp.bsky.social @xinyuel.bsky.social & Jane Ginsburg (1/n) 🧵

View on Bluesky · ♥ 70 ↻ 31 ↩ 6 · 41d ago

Ran some 🧪 to 🔬 why the Granta short story was certainly 🤖 generated. A lot of bad writing happens because AI hasn’t learned aesthetics. It has simply memorized the whole internet and called it a day. So sure, maybe you don't trust AI detectors. But you can trust your own eyes. #AISlop

View on Bluesky · ♥ 14 ↻ 2 ↩ 1 · 108d ago

For @timesofindianews.bsky.social I wrote about why we desperately need to rely on accurate AI detectors to prevent this slopocalypse. Yes @pangram.com is the best AI detector we’ve got and blanket statements like detectors don’t work are not backed by empirical evidence but isolated anecdotes

View on Bluesky · ♥ 0 ↻ 0 ↩ 1 · 99d ago

Blake Lefray has a very convincing video that proves why Daggermouth might be AI generated. For folks that don’t believe AI detectors these kind of patterns occur disproportionately in AI writing. It’s no magic that AI detectors that are neural networks catch them.

View on Bluesky · ♥ 1 ↻ 0 ↩ 0 · 17d ago

After the Daggermouth story broke out a group of angry mob on BookTok and Threads said my hypothesis on rare expression correlation with AI writing was weak. Still stand by it. Here is an evidence. You will only find this v awkward cliche in post 2024 books. Is AI changing writing?????

View on Bluesky · ♥ 1 ↻ 0 ↩ 0 · 18d ago

In Tuhin Chakrabarty's orbit

Center = Tuhin Chakrabarty. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.

Are you Tuhin Chakrabarty? Show it.

Add the Who’s Who of AI badge to your site or bio. It links back to this profile.

Listed in AI Weekly's Who's Who of AI

Markdown: [![Listed in AI Weekly's Who's Who of AI](https://aiweekly.co/modules/custom/aiweekly_whoswho/images/whoswho-badge.svg)](https://aiweekly.co/whos-who/person/tuhinchakr-bsky-social)