Check out CogGym, led by @LanceYing42! 258 experiments from 100 cogsci papers (!!) in one format. Main takeaway: models are getting more human-like, but way slower than improvements on math and coding
Lance Ying (@LanceYing42) profile pictureLance Ying
@LanceYing42Sep 30
Have we built machines that think like humans? 🧠🤖 In a new preprint, we propose CogGym, which compares AI and human judgments across 258 commonsense-reasoning experiments from 100 cognitive-science papers. Paper: arxiv.org/abs/2609.21259 Platform: coggym.org
CogGym workflow diagram: research experiments are standardized in EML by an LLM agent with human review, then rendered for human participants and computational models. Replicated and original human data are compared with model responses in a shared analysis.

ALT CogGym workflow diagram: research experiments are standardized in EML by an LLM agent with human review, then rendered for human participants and computational models. Replicated and original human data are compared with model responses in a shared analysis.

Sep 30, 2026 · 10:56 PM UTC

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