Lilian Weng · @lilianweng · X·2026-07-07 13:58·55天前
AI 导读

新博文:AI自我改进的驾驭工程 https://lilianweng.github.io/posts/2026-07-04-harness/ 很难预测RSI的未来在多大程度上依赖于驾驭机制。很可能驾驭工程将朝着自我改进的方向发展,并实现自动研究,而更智能的模型反过来会让驾驭保持简单。 即使许多驾驭改进最终被内化到核心模型中,指定目标和上下文的需求也不会消失。

Lilian Weng@lilianweng
46AI 编辑部评分,满分 100
2026-07-07 13:58· 55天前
AI 导读

新博文:AI自我改进的驾驭工程 https://lilianweng.github.io/posts/2026-07-04-harness/ 很难预测RSI的未来在多大程度上依赖于驾驭机制。很可能驾驭工程将朝着自我改进的方向发展,并实现自动研究,而更智能的模型反过来会让驾驭保持简单。 即使许多驾驭改进最终被内化到核心模型中,指定目标和上下文的需求也不会消失。

new post on harness engineering for AI self-improvement: https://lilianweng.github.io/posts/2026-07-04-harness/

It is hard to forecast how much the future of RSI will rely on harnesses. Likely harness engineering will evolve in the direction of self-improvement and enable auto-research, and, in turn, smarter models keeps harnesses simple.

Even when many harness improvement get eventually internalized into core model, the need to specify goals and context will not disappear.

来源:Lilian Weng· x.com