07:00
2026-07-21
metr.org
artificial-intelligence
Expenditure Horizon: Measuring Optimization Ability, with an Application to NanoGPT
Researchers propose an 'expenditure horizon' measure of AI agents' optimization ability, estimating that each 1% improvement in NanoGPT costs roughly $2,500 in human labor, while agentic runs exceedin…