NanoGPT

Research organization METR has introduced the 'expenditure horizon,' a metric that pinpoints the exact budget at which an AI agent becomes cheaper than a human at solving the same problem. Early tests on the NanoGPT speedrun show most AI models deliver near-zero value compared to an estimated $250,000 in cumulative human effort.