ARC-AGI-3 scores agents on how close they are to human action efficiency. All ARC-AGI-3 environments were solved by at least 2 human testers out of 10 (most of the time it was 5+). We use the action count of the 2nd best tester (to avoid outlier performance) as our human
ARC-AGI-3 Benchmarks Agent Performance Against Human Action Efficiency
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