Rohan Paul@rohanpaul_ai · XRohan Paul 引用 @TangriKunal 指出，机构知识长期依赖文档索引，但文档只是判断的产出物，判断本身存在于资深员工交付前修改的差异（diffs）中，而多数企业丢弃了这些印记。Farsight 将此过程定义为“系统 of Judgment”，即通过软件保存真实工作中的编辑，将重复决策转化为可衡量规则。Paul 认为企业 AI 的下一个护城河不是存储的知识，而是存储的判断——AI 需要学习初稿与终稿之间的差距，因为那里藏着企业的好标准。
A firm's judgment does not live in its archives； it lives in the changes （diffs） senior people make before work ships.
Farsight calls this a system of judgment， i.e software that preserves those edits across real work， can turn repeated decisions into measurable rules.
The next enterprise AI moat is not stored knowledge， but stored judgment.
If AI is going to learn the work of professional firms， it cannot learn only from polished outputs.
AI needs the gap between first draft and final draft， because that gap contains the firm's private standard of what good means.