Benchmarks double as training data: researcher argues for hyperspecific LLM evals

rmcwhorter99 · x · 2026-10-01

In a discussion on LLM evaluation, rmcwhorter99 argues that tests for LLMs also become training data for LLMs, so evals should be hyperspecific.

Since teams already know precisely which abilities they want to improve (e.g. proof writing in Lean), tests should match that specificity. A bonus: specific evals make it possible to attribute gains in particular abilities to specific training materials, creating a traceable improvement loop.

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Benchmarks double as training data: researcher argues for hyperspecific LLM evals

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