How do brains plan actions towards goals?
To get at this question we studied mice navigating complex mazes as goals changed on every trial 🧵
Work with @thomasakam.bsky.social @behrenstimb.bsky.social @kristorpjensen.bsky.social now on BioRxiv: www.biorxiv.org/content/10.6...
Video
New blog: I am worried by NLP research culture
NLG and NLP are mostly much better in 2026 than when I got my PhD in 1990. Unfortunately research culture has gotten *worse” in this period, which really worries me as I retire.
ehudreiter.com/2026/06/08/n...
In most ways NLG and NLP are much better in 2026 than when I got my PhD in 1990. Unfortunately research culture has gotten *worse” in this period, which really worries me as I retire. We have…
The New England Mechanistic Interpretability (NEMI) workshop is coming to BU on Aug. 14!
Join us for talks, a panel, food, and plenty of opportunities to connect with the many great researchers in the area.
Register and help spread the word!
As a computer scientist, we INVENTED the phrase "artificial intelligence." It was never exclusively yours.
In both fact and fiction, AI has always been awesome, and beautiful, and, yes, problematic — and it still is.
"You're right to call me on that!"
Can you catch an AI in the act of lying?
Register below to enter our AI lie-detection contest.
AI lies are a big problem. The frontier labs have all worked hard to fight AI deception. They all try to monitor their AIs for it.
Check out our latest work led by @veraneplenbroek.bsky.social! Conversation topics seem much better explanations for LLMs behavior over latent sociodemographic info about the user - but what does the choice of topic tell us about the speaker in the first place?
We are starting a new, nonprofit alignment organization, ⊢ Sequent Research, bringing together researchers previously on UK AISI’s Alignment Team, Timaeus, and elsewhere to research how to align superintelligence. We are hiring! 🧵
sequent.org/launch
Check out our new hackathon for building the best AI lie detector on the market! A lot of interesting questions and great prizes for participants, apply early if you want in! :)
Despite the huge inflow of researchers, much of the work in interpretability remains anecdotal. Our new repro challenge at BlackboxNLP (co-located with EMNLP 2026) aims to attract work challenging common assumptions and showing failure/success cases of popular methods. Negative results welcome!
