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METR · July 8, 2026

Because 8 ≈ e², Anthropic's researcher uplift is plausibly >2x

analysis Model EvaluationAI Engineering
Why it matters

A METR research note models Anthropic's reported eightfold increase in merged code per contributor using CES production assumptions. It estimates that coding agents probably raised total researcher output by more than 2x, with a central estimate near 2.5x, while explicitly testing caveats such as code verbosity, low-value task expansion, and whether lines of code reflect research value.

My takeaway: Do not treat generated lines or merged code as productivity on their own. Measure quality-adjusted outcomes, task mix, review and rework, elapsed time, and research impact against a counterfactual; publish sensitivity analyses for substitution assumptions, and independently review any model whose mathematics or conclusion was checked only by an AI system.
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