METR’s new metric measures when AI agents become more expensive than humans
The Decoder · rss · 2026-07-27
METR proposes a cost metric for when AI agents become more expensive than humans
- METR introduced the “expenditure horizon”, a dollar-based metric designed to measure when AI agents stop being cost-effective for a task.
- The article says early results from the NanoGPT speedrun are not very encouraging, and the metric still has important blind spots.
- It also notes that newer model generations could change the picture, so the metric is still evolving rather than settled.
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