Incredibly excited about this direction: automating scientific discovery in cognitive science, with agents designing targeted experiments, collecting human data, and using the results to refine their theories. We show that this loop can lead to models that better predict human behavior!

Ben Prystawski@benpry.bsky.social · 3mo ago

New preprint! AI agents have shown impressive scientific automation capabilities. Can we apply them to psychology research, *including* human data collection? We introduce auto-psych, a framework that proposes cognitive models and uses them to design and run human experiments. 1/

1/ New preprint! Reasoning models often require hundreds of task examples and thousands of rollouts to improve on a task. How can they learn more from much less? Introducing CORE: contrastive self-reflection for rapid, sample-efficient, and interpretable self-improvement 🧵

1\ Can you make this Roman-numeral equation true by moving exactly one matchstick?

🚨New paper out w/ @gershbrain.bsky.social & @fierycushman.bsky.social from my time @Harvard! Humans are capable of sophisticated theory of mind, but when do we use it? We formalize & document a new cognitive shortcut: belief neglect — inferring others' preferences, as if their beliefs are correct🧵