Tomer Ullman

@tomerullman.bsky.social

Associate Professor, Department of Psychology, Harvard University. Computation, cognition, development.

I wonder if anyone's done meta-stylometry to recover interactions based on an non-vanilla LLMs output(?) I mean to say: repeated use of current language models can shift their output to suit the user; So, take the output of a modified model and work backwards to infer prior interactions

I appreciate that some places have negative consequences for AI-slop-submissions (desk reject, ban from submitting for X time) but what do we do about reviews that were clearly LLM-written? Ban those people from being reviewers? Oh no! Do we threaten them with some delicious ice-cream too?

i love how the review process is now so long that Reviewer comments include demands to know why we didn't cite the important work of So-and-So (2025) -- work that was published *after* the submission of the original manuscript they are critiquing.

every time there's a new video model I try some basic physics on it. So, here's the recent Google Omni tasked with continuining an image of a man throwing a mug at a tower of skulls. will the mug hit the skulls? see for yourself.

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LLiu, Shuze@liushuze.bsky.social · 2mo ago

Join us at both conferences this summer! Our #CogSci2026 workshop features a series of invited talks on problem representations and abstractions. Our #CCN2026 community event opens a broader discussion on naturalistic problem solving: frameworks, tasks, methods, and where the field should go next.

"I used an LLM to help me write, but it was just to polish the style and grammar" is something you've probably come across, or done yourself. Many conferences and journals and teachers are ok with this. But does it...? Just focus on the style and grammar...?