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The Predictive AI Evaluation Challenge is open

AIMS's first competition invites participants to predict how models respond to unseen benchmark items from sparse observations. Submissions run through the summer.

The Predictive AI Evaluation Challenge opened in April 2026, the first competition run by AIMS. Participants submit code that predicts model responses on hidden benchmark items from a sparse set of observations.

The task treats evaluation as prediction: rather than running every model on every item, can we infer the rest? It is a direct, public test of the measurement ideas the lab works on.

The competition runs through the summer, with a submission deadline in August and winners announced in September. Top participants are invited to present at the AI Measurement Science Workshop at COLM 2026.