After about 5 years (!) of keeping secrets, I am so excited that Disney Pixar's Hoppers is finally coming out on March 6th!
Back in 2021, Pixar emailed me asking if I could give a talk about my research to their employees. Then another talk. And another.
📸 Disney/Jesse Grant/Getty Images
Thank you!
Oooh I didn’t get a crossref MCP I did it via raw API. But, to be honest, the issue I ran into was actually that I literally couldn’t get the crossref searches to work in their web interface either…
Screenshot above is just chat window. The adventure in the quoted thread was via a whole project using cursor to access bibliometric apis and write python code to parse.
Yeah! Narayanan has written a lot about the difference between capacity and reliability, and I think that’s a really interesting framework to think about this in. LMs can do amazing stuff. But they screw up a lot!
Still smarting from my experience failing to fix my bibtex file, I wondered if my problem was failing to use LLMs as the entry parsers. I think a solution of this type could still work but I'm really dispirited by how hard bibliographic data is for models. Take a look at this ChatGPT transcript!
excited to share some recent work!
neural networks trained on multi-view sensory data are the first to match human-level 3D shape perception
we predict human accuracy, error patterns, and reaction time—all zero-shot, no training on experimental data
arxiv.org/abs/2602.17650
1/🧠
Cool old study by Rachel Barr et al. (1996): deferred imitation at 12 - 24 months but not at 6 months!
doi.org/10.1016/S016...
I have done a bunch of projects with coding assistance in the past few months. Some have been spectacular successes (in part due to strong verifiability for products). I was sharing this story above to balance hype. bsky.app/profile/mcxf...
No question that quality controls on outputs are critical! I’m not sure I will convince you of anything but LLMs are not one thing. They are a component of many products, some of which are helpful when used carefully.
I flew (well, vibe coded) too close to the sun. Wasted an entire day trying to clean up my bibtex file using ORCID and Crossref APIs. The result was a mess with worse errors than before. Vibe coding is still awesome but not every project works out…
On a scale of 1 to 10 how much do you hate it when a scale runs from 1 to 10
Me, I'm at the exact middle point on this scale. 5.5 out of 10
I've always loved the background of Jacob Lawrence's 1943 painting "City College is Like a Beacon Over Harlem," with its snow-covered hill featuring numerous sled riders at play
So sorry for your losses.
So sorry for your losses.
Yup… oral exams for smaller courses seem like a potential alternative.
New blogpost about a teaching experiment I'm doing this quarter: a "socratic tutor" bot to help students gain understanding of specific reading assignments.
babieslearninglanguage.blogspot.com/2026/02/an-l...
To our surprise, students seem to like this assignment more than the traditional reading response! More thoughts and FAQs in the blogpost.
Sadly, education is the first industry that is being disrupted (and not at all in a good way) by AI. Assignments like readings responses just don't work anymore, so I've been thinking (with @noahdgoodman.bsky.social) about what to do. The socratic bot is one experimental idea.
New blogpost about a teaching experiment I'm doing this quarter: a "socratic tutor" bot to help students gain understanding of specific reading assignments.
babieslearninglanguage.blogspot.com/2026/02/an-l...
I always thought preschoolers were too egocentric to do well on communication tasks where they had to talk about novel referents. Old papers reported they'd say stuff like "this one looks like my uncle's hat."
@vboyce.bsky.social shows that this is wrong!
osf.io/preprints/ps...
I wrote a short article on AI Model Evaluation for the Open Encyclopedia of Cognitive Science 📕👇
Hope this is helpful for anyone who wants a super broad, beginner-friendly intro to the topic!
Thanks @mcxfrank.bsky.social and @asifamajid.bsky.social for this amazing initiative!
Thanks for contributing a great article!!
AI email insights from Gemini (TM): “You’ve never interacted with *Inigo Montoya* before. He mentions his father, but you have killed many men and it is unclear which one he is or if this claim is substantiated.”
This study was an amazing collaborative experience. I'm really really grateful to all the wonderful people who contributed and made this happen.
It's the closest I have ever come to finding something like a "universal" in human cognition.
Preparing for class and remembering how brilliant this essay is: persci.mit.edu/pub_pdfs/sha... - "The perception of shading and reflectance" (Adelson & Pentland, 1996). Early and beautiful description of Bayesian perception theories.
If Bad Bunny can cover the history of Puerto Rico, colonialism, transatlantic slavery, hemispheric consciousness, as well as contemporary life and politics in under 14 minutes, you can do your 15- or 20-minute conference presentation with time to spare.
This is wild - I wonder if you’d mind sharing anything you learn?
Disturbingly detailed analysis of my first rewatch incoming
That sounds awesome! Is this an AI class or a cogsci class or…?
