OpenAI 发布内部数据称已达到自动化研究实习生里程碑，即可在人类监督下完成熟练研究员需数天的明确任务。截至 8 月中旬，其研究组织每投入 1 个人工工作日，就使用 3.1 个 agent 工作日的运行时长，该比值衡量的是运行时间而非等效生产力；原文作者援引 OpenAI 员工观点称递归自我改进或成为未来几年 AI 能力的关键，并呼吁其他 AI 公司同样公开数据。
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.
Today we're releasing data on models accelerating research at OpenAI. Recursive self-improvement could be the most important contributor to AI capabilities over the next few years, but by default it will only be seen inside a few frontier AI labs. Being transparent is more urgent than ever, so we can inform the public discussion on whether and how to pace model development. I ask other AI companies to do the same. https://openai.com/index/research-acceleration-view-inside-openai/在 X 查看被引用的帖子
来源：Rohan Paul · x.com