OpenAI claims 3.1× agent runtime per human workday, but it’s not a productivity metric yet

OpenAI 宣布达到自动化研究实习生里程碑，内部 agent 运行时达人力 3.1 倍

OpenAI shared an internal metric: for every human workday, its agents log 3.1 agent-workdays of runtime. The ratio tracks wall-clock time, not equivalent output. The agents handle well-defined tasks that would take a skilled researcher days, under human supervision—OpenAI calls this an automated research intern milestone. Staff see recursive self-improvement as a key driver for the next few years and want other labs to publish comparable data. The post doesn’t disclose task types, success rates, or cost.

Why it matters: OpenAI reveals an internal agent-to-researcher wall-clock ratio for the first time. The 3.1x figure is discussable but the post doesn't disclose task types, success rates, or output quality — it's a directional signal, not a product launch. Capped below 85 due to missing repro...