AI 导读
OpenAI 研究组织的工作方式正从个人 AI 辅助转向研究者同时监督多个 agent 工作流,4 月约有三分之一研究者达到 4+ 并发 agent 工作流,到 8 月中旬升至约四分之三。OpenAI 称已达“自动研究实习生”里程碑,agent 与人类劳动比为 3.1:1,按标准 8 小时工作日,每 1 个人类工作日对应 3.1 个 agent 工作日。
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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:@rohanpaul_ai · x.com