Excited to share my (first!) first-author preprint with Stephanie Fine Sasse @HilaryKLambert @KatieAMcLaughlin Leah Somerville Erik Nook 🏳️‍🌈 : Emotion word production develops in tandem with general verbal fluency and reveals key dimensions organizing emotion concepts osf.io/urf2w

Tom Griffiths (@CoCoSciLab) is daring to #VentureForward shaping the future of #AI research at Princeton University.

Are you interested in comparing modern AI/RL agents to Humans?

Excited to share that our paper is now out in PNASNews! 🎉 Check it out: pnas.org/doi/10.1073/pn… Code and data: github.com/baixuechunzi/l… Big shoutout to my amazing coauthors Angelina Wang @angelinawang.bsky.social Ilia Sucholutsky Griffiths Computational Cognitive Science Lab!

Everyone's talking about Claude 3.7 playing Pokémon Red, but stay tuned—we've got some exciting work on LLMs for Pokémon battles coming soon! 😃🔥

New pre-print! In this work, we explore the extent to which different inductive biases can be instantiated among disparate neural architectures, specifically Transformers, CNNs, MLPs, and LSTMs. Link: arxiv.org/abs/2502.20237 (1/4)

Can a Large Language Model (LLM) with zero Pokémon-specific training achieve expert-level performance in competitive Pokémon battles? Introducing PokéChamp, our minimax LLM agent that reaches top 30%-10% human-level Elo on Pokémon Showdown! New paper on arXiv and code on github!

We are looking for a new lab manager, shared with the Concepts and Cognition Lab of Tania Lombrozo. Apply here: research-princeton.icims.com/jobs/20656/res…

(1/11) Evolutionary biology offers powerful lens into Transformers learning dynamics! Two learning modes in Transformers (in-weights & in-context) mirror adaptive strategies in evolution. Crucially, environmental predictability shapes both systems similarly.

Thrilled to announce our new publication titled 'Decoding predicted future states from the brain's physics engine' with Elizabeth Mieczkowski, Cyn X. Fang, Nancy Kanwisher @[email protected], and Josh Tenenbaum. science.org/doi/full/10.11… (1/n)

“People Evaluate Idle Collaborators Based on their Impact on Task Efficiency” 📢 New from: Elizabeth Mieczkowski, Cameron Rouse Turner, Natalia Vélez, & Tom Griffiths sciencedirect.com/science/articl… TL;DR: Sometimes it's acceptable not to help with group work 🧵👇

So excited our paper is now out in Cognition! Huge thanks to our editor and reviewers 🧠 Their thoughtful suggestions inspired Experiments 3 & 4, including a striking inverse correlation between idleness judgments and speed-up predictions