METR introduces 'expenditure horizon' metric to compare AI and human labor costs
METR has developed a new metric called the 'expenditure horizon' to quantify the cost-effectiveness of AI agents compared to human labor. Initial results using the metric on the NanoGPT speedrun are underwhelming, and the metric has some blind spots, but newer AI models could alter these findings.
Why it matters: This metric offers a concrete method for assessing the economic viability of AI agents as substitutes for human workers.
Full story at: The Decoder ↗