METR proposes “expenditure horizon” to compare human and agent cost efficiency
scaling01 · x · 2026-07-22
METR proposes “expenditure horizon”, a new way to measure AI capability on continuously scored tasks.
- It compares performance as a function of spend for humans versus agents.
- The expenditure horizon is the dollar point where humans become more cost-effective than the agent.
- The attached schematic is illustrative rather than real data.
Related event: METR Proposes 'Expenditure Horizon' for AI Agent Evaluation(2 posts)→
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