Jeremy Manning
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jeremyrmanning.bsky.social
Jeremy Manning
@jeremyrmanning.bsky.social
Context Lab (@contextlab.bsky.social) director, Dartmouth prof, memory & 🧠 network modeler, data scientist, dad x2, husband, tree hugger 🌲, & 🧁+🍪 baker

https://www.context-lab.com
Reposted by Jeremy Manning
November 13, 2025 at 11:41 PM
Current mediocre PADI OWD with an inflated ego here-- can also confirm 🙋🤿🦈🐟🐠🐡
November 8, 2025 at 4:14 PM
"Thank you for your valuable feedback. Rest assured, everything will be in 2D when viewed on screen or in print. Note that this accommodation may not cover readers with curved screens or proclivities towards crumpling paper."
November 5, 2025 at 12:47 AM
Love it-- I do this too in my Programming for Psychologists course! It works really well!

In case it's useful, all my materials are here; feel free to re-purpose any of it for your course: github.com/ContextLab/c...
GitHub - ContextLab/cs-for-psych: Course materials for PSYC 132: Introduction to Programming for Psychological Scientists
Course materials for PSYC 132: Introduction to Programming for Psychological Scientists - ContextLab/cs-for-psych
github.com
October 28, 2025 at 11:49 AM
Congrats 🎉!!
October 13, 2025 at 6:12 PM
Looks neat, @neuroai.bsky.social-- looking forward to reading with my lab!
October 5, 2025 at 12:21 AM
My fave is desk rejection after 6 months 👌🤌
September 13, 2025 at 1:04 PM
Cravendale, Cats with Thumbs
YouTube video by wklondon
youtu.be
September 10, 2025 at 5:21 PM
Science limited only by imagination is an exhilarating idea. We're not 100% there yet, because (a) models are still dumb in frustrating ways (losing context, not understanding intent, hallucinations, etc.) and (b) the entire AI pipeline is too resource intensive. But the future finally feels close!
September 4, 2025 at 2:37 AM
10 years ago I had to manually derive gradients and updates (weeks of work). Pytorch and autodiff made it possible to easily fit essentially any model I could code up (~a day of work). Now I can *describe* any model and get code + inference in about an hour. It's exciting!
September 4, 2025 at 2:19 AM
Mainly I feel limited by API restrictions (token budget, rate limits)-- otherwise I'd happily run more things in parallel (maybe ~10x more?). Tools like Claude code have felt analogous to going from manual numpy to pytorch with automatic inference. Way lower barriers for exploration + experimenting!
September 4, 2025 at 2:14 AM