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Benchmark scores are well correlated, even across domains

Luke Emberson, Yafah EdelmanEpoch AIDate not recordedOriginal︎ ↗Archived copy

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Models that are good at math benchmarks tend to be good at coding and reasoning benchmarks too, pointing to a common factor driving AI capabilities. We find that AI benchmark scores are nearly as correlated across domains (0.68) as within them (0.79).

AI capabilities improve faster in domains with automatically verifiable rewards than in other domains.Supportedmentions

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Kind
unknown
Authors
Luke Emberson, Yafah Edelman
Publisher
Epoch AI
Published
Not recorded
DOI
None
Link
https://epoch.ai/data-insights/benchmark-correlations
Archived copy
https://web.archive.org/web/20261024111218/https://epoch.ai/data-insights/benchmark-correlations
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15,161 characters, retrieved Nov 11, 2026 · 167 sections, 142 passages
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Nov 11, 2026

History 3

  1. Nov 11, 2026DividedSegmenter · Divided into 309 parts by its own structure
  2. Nov 11, 2026FactsFacts fetcher · Facts looked up
  3. Nov 11, 2026Entered the graphEntered the graph; copy stored