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。
AI News / Industry
Back to AI news
OpenAI Announces Milestone in Automated Research Interns, Internal Agent Runtime 3.1 Times Human Labor
OpenAI released internal data stating it has reached a milestone in automated research interns, capable of completing tasks that would take skilled researc...
Today AI Intelligence Brief
OpenAI released internal data stating it has reached a milestone in automated research interns,
capable of completing tasks that would take skilled researchers several days under human supervision. As of mid-August, for every 1 human workday invested by its research organization, 3.1 agent workdays of runtime were used. This ratio measures runtime rather than equivalent productivity; the original author cited OpenAI employee opinions suggesting that recursive self-improvement could become a key factor in AI capabilities in the coming years and called on other AI companies to also publish their data.
动态正文 · AI 整理
Intelligence Assessment
Aioga 编辑摘要
OpenAI 发布内部数据称，已达到“自动化研究实习生”里程碑：在人工监督下，agent 可以完成熟练研究员需要数天完成的明确任务。
背景分析
截至 8 月中旬，OpenAI 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。该比值衡量运行时间，不等同于生产力或工作成果。
Aioga 观点
Aioga 判断：这组数据显示 OpenAI 正在用运行时长描述 agent 在研究流程中的使用程度，但单凭该比值，尚不足以判断其工作质量、效率或对研究组织的实际替代程度。
影响与后续
可能影响：研究组织可能继续关注 agent 在明确任务和人工监督下的应用；但运行时长不代表等效生产力，相关数据需要结合任务质量、完成范围与监督成本解读。 后续观察：需关注 OpenAI 是否披露更多可复核指标，以及其他 AI 公司是否公开类似数据；同时应区分员工观点与 OpenAI 已明确发布的事实。
Source and Copyright
The readable text on this page was extracted from the public source and organized with attribution, publication time and the original link. Copyright remains with the original author and publisher.
Ingestion channel: Summary aggregation · Source domain: x.com
Source: @rohanpaul_ai)
Original link: Open original source
Aioga archive: Open intelligence page
Content record: social-summary · Updated: 2026-09-06T18:23:14.000Z
API RELAY · DEVELOPER INFRASTRUCTURE
API 中转站
统一接入主流 AI 模型 API，为开发、测试与生产环境提供稳定调用入口。
立即访问 api.w173.com
Scan to open this article