Rohan Paul· @rohanpaul_ai · X·· 2026-09-07AI 评分60
AI 导读
作者引述 OpenAI 官方说法,称其已达成自动化研究实习生里程碑,即由人类监督的系统可完成熟练研究者需数天的明确任务。据引文,截至 8 月中旬 OpenAI 研究组织每 1 个人类工作日对应 3.1 个 Agent 工作日的投入,该比例衡量的是 Agent 运行时长而非等效生产力;4 月仅约三分之一研究者同时运行 4 个以上 Agent 工作流,8 月中旬已达约四分之三。
正文 · 原文
Knowledge work has always been bottlenecked by human serial execution - that time is changing.
OpenAI's research workflow has now shifted from individual AI assistance toward researchers supervising multiple simultaneous agent workflows.
In April, only about one-third of researchers were hitting 4+ concurrent agent workflows; by mid-August, it was roughly three-quarters.
OpenAI just officially said it has reached its "automated research intern" milestone. i.e. a human-supervised system able to complete well-defined tasks that would take a skilled researcher quite few days. inside OpenAI research, agent runtime has already crossed human labor by a wide margin. 3.1-to-1 agent-to-human ratio “In terms of a standard 8 hour workday, as of mid-August, in total, the research organization uses 3.1 agent-workdays of effort for every workday of human labor.” That ratio measures agent runtime rather than equivalent productivity, but it captures how deeply parallel agent work has entered OpenAI research.在 X 查看被引用的帖子
来源:Rohan Paul · x.com