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.

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Replying to @LanceYing42 @katie_m_collins @gershbrain @mcxfrank @devarda_a @DaeHoulihan @akjagadish @tsvilodub @KelseyRAllen @brianchristian @ev_fedorenko
The formal benchmarks near saturation while human-likeness creeps up caught my eye. The open-weight scaling curve suggests small models have a long way to go.

Oct 1, 2026 · 5:09 AM UTC
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