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Google DeepMind Blog · March 17, 2026

Cognitive evaluations: cover missing abilities and compare human distributions

news Model Evaluation
Why it matters

Google DeepMind proposes a taxonomy of ten cognitive abilities and a three-stage evaluation protocol combining held-out AI tasks, human baselines and comparisons between performance distributions. It highlights gaps in evaluating learning, metacognition, attention, executive functions and social cognition. The contribution is a framework for designing a broader measurement program. The article does not deliver a completed benchmark suite, an agreed definition of AGI or a score establishing that a model has reached it.

My takeaway: Map a capability claim to specific tasks and identify abilities your current suite omits. Reserve held-out examples, recruit an appropriate human comparison group and report performance distributions. Distinguish missing measurements from demonstrated weaknesses and avoid collapsing broad capability claims into one leaderboard score.
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