如果你要求他人关注，请先展现出你的诚意。

如果你要求他人关注，请先展现出你的诚意。
If you are asking for human attention, demonstrate human effort

原始链接: https://tombedor.dev/human-attention-and-human-effort/

人工智能生成内容在职场中的兴起引发了一个新的礼仪困境：何时与同事分享机器人撰写的文本才是恰当的？尽管人工智能工具很有价值，但直接转发未经编辑的内容可能会导致“AI疲劳”，并被视为对同事时间的不尊重。核心问题在于投入。当同事在转发人工智能内容时，如果声明他们自己没有进行审阅，这便隐含着一种暗示：接收方的时间不如发送方的时间有价值。为了在技术密集的办公环境中保持职业礼仪并维护人际联系，请遵循一个简单的原则：**如果你需要他人的关注，请先展示你的人工努力。** 分享人工智能生成的工作成果时，请务必做到： * **清晰地标注**内容由人工智能生成。 * **添加个人见解**，以提供背景和价值。 * **在发送前审阅并核实**所有内容。通过采取这些步骤，你能够顾及团队有限的精力，并确保人类的判断始终处于协作过程的核心地位。

所链接的文章及随后的 Hacker News 讨论核心在于：在使用人工智能工具与团队协作时，“人为努力”的重要性。主要观点包括： * **透明度与简洁性**：贡献者认为，在使用 AI 生成工作内容或进行沟通时，应予以明确标注。此外，由于 AI 生成的文本往往冗长且令人难以消化，人为的主导简洁性与可读性正变得日益重要。 * **承担“认知债务”**：一个主要担忧在于，AI 用户往往未能内化其提交内容背后的逻辑。评论者强调，当同事发送未经审查的“大量文本”时，这会迫使接收者沦为从属代理人而非合作伙伴。花时间审查并理解 AI 生成的代码或文本，对于维持团队信任至关重要。 * **更深层的问题**：一些评论者认为，问题不仅在于 AI，更在于原本就缺乏的人为严谨性。他们主张，AI 只是加速了“垃圾进，垃圾出”的工作流程，而仅仅标注 AI 内容并不能解决低质量努力这一根本问题。归根结底，共识在于：在专业环境中，人的责任感依然是不可妥协的。

An ever-increasing volume of debug investigations, document writing, and code is written by robots. This has created a new etiquette question when working with a team - when is it OK to forward the output of an AI to another human to read?

On one hand, an AI with robust integration to internal code bases and documentation often produces genuinely^{useful output.}

On the other, as an increasing amount of a software engineer's day is spent reading AI text, a fatigue sets in. If I can have a robot say something, so can you. It reads as inconsiderate to post un-digested AI output as though it's your own writing.

I remember the first time I experienced this annoyance. I proposed a design, and a teammate prompted an AI to critique it. The teammate sent an AI document to me, with the disclaimer: "I didn't read this, so it might not be entirely accurate". My thought was, _if reading this wasn't worth your time, why is it worth mine?"

Therefore, I've adopted this principle in my work:

If you are requesting human attention, demonstrate human effort.

If useful, I send AI generated content to teammates. But when doing so, I take care to clearly label what is AI generated, and I add my own commentary alongside it. For human code review requests, I always review my AI-generated code first.

Attention was already a scarce resource before AI, and it is even more so now. Keeping AI generated content clearly labeled and demonstrating human effort helps show consideration for teammates, and keeps a touch of humanity alive in our work.

如果你要求他人关注，请先展现出你的诚意。 If you are asking for human attention, demonstrate human effort

如果你要求他人关注，请先展现出你的诚意。
If you are asking for human attention, demonstrate human effort