重写智能体能不能掰弯智能曲线：RSI 的四级演进

我们真正关心的最终结果是系统整体能力的实际提升，而非特定具体层级。当然各层都有改进空间，而且平心而论，当最终走向拐点拐弯的 Level 3 终极递归自我改进时，所有不同层级之间必然需要建立起完整的自指涉闭环。

actually improve the capability of the system not uh a specific layer. uh of course there could be argument that there's more to be do on different layers and to be fair I think eventual level three recursive self-improvement like when we actually reach the inflection point I think there need to be this uh self-referential loop on all different layers

语境：Zhengyao Jiang 阐述 RSI 的系统论视角：不必执念于必须更新神经网络权重，只要系统工程层面跨层实现了端到端自主能力跃迁，即构成了实质意义上的自改进。

支持 → all-in-satya-nadella-20260915

所谓 Level 1 是我们称之为「净正增益」的阶段：当你运行自我改进循环时，系统自我迭代与优化的演进速度已经明确超越了人类工程师手工研发优化该系统的速度；而我们当下正处于这一转折点。

the level one is what we called net positive where you run the self-improvement loop and you found that the speed at self-improve is faster than human doing R&D to improve the system and uh that's where we are

语境：Zhengyao Jiang 定义首个可量化的 RSI 实证里程碑：自我优化循环的迭代速率首次超越人类专家 R&D 团队的效率基准。

支持 → machine-learning-zhengyao-jiang-20260926