这篇文章戳中了 AI 团队内部的核心矛盾——快与稳的张力，做技术决策的 leader 和工程师都能从中找到共鸣，建议点开看看如何设计反馈循环。
Charity Majors 精准描述了 AI 爱好者和怀疑者之间的动态：爱好者们争分夺秒利用 AI 实现能力跃迁，而怀疑者则警惕快速交付带来的信任和可靠性损失。两者都在同一团队中，但缺乏自然反馈循环。文章指出，这是领导力和工程挑战，需要设计组织反馈机制来平衡创新与稳定。
AI enthusiasts are in a race against time, AI skeptics are in a race against entropy
AI enthusiasts are in a race against time, AI skeptics are in a race against entropy 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 for an organization is a fascinating organizational design problem. Tags: ai , charity-majors , agentic-engineering