AI乐观派与怀疑派：分别在对抗时间和熵
AI enthusiasts are in a race against time, AI skeptics are in a race against entropy
Charity Majors指出，AI乐观派和怀疑派都在同一团队中构建优秀软件，但方向相反。乐观派看到积极拥抱AI的团队获得了真实的、非连续的能力跃升，这是其他技术周期中未曾见过的；远离可能面临生存威胁。怀疑派则警示，代码产出速度超过工程师阅读能力、领域缺乏完整上下文时，信任账户被透支，可靠性下降、机构知识流失，最终导致无人理解的系统和频繁的轮班压力。两者都是真实威胁。核心问题在于缺乏连接乐观派与怀疑派的自然反馈循环，设计这样的反馈循环是组织设计难题。
Simon Willison’s Weblog
4th June 2026 - Link Blog
AI enthusiasts are in a race against time, AI skeptics are in a race against entropy (via) Charity Majors neatly captures the dynamic between AI enthusiasts and AI skeptics, both of whom are trying to build great software, often in the same teams:
The enthusiasts are not wrong. We are starting to see real, non-imaginary, discontinuous leaps in capabilities from teams that lean in hard to working with AI. And this does not feel like a normal technology cycle where you can wait for the dust to settle; teams that sit this out while competitors are hustling could be out of business before the dust settles. That’s a real, existential threat.
The skeptics are also not wrong. When you ship code faster than engineers can read it, in domains where nobody has full context, you are making withdrawals from a trust account that took years to build. Reliability degrades, institutional knowledge evaporates. You end up with systems nobody understands, products burbling into incoherence, and on-call rotations that grind people up and spit them out. That is ALSO a real existential threat.
Charity recommends treating this as both a leadership challenge and an engineering challenge. The key issue:
There is no natural feedback loop connecting enthusiasts with skeptics.
Designing feedback loops to help "mend the gap in shared reality" between the two groups is a fascinating organizational design problem.
4th June 2026
来源：Simon Willison 博客 · simonwillison.net