不要做肉身代理。
Don't be a meat proxy

原始链接: https://gruhn.me/blog/2026-08-03/

作者告诫人们,不要养成将人工智能生成的回答原封不动地粘贴到工作和个人对话中的习惯。把自己当作大语言模型的“肉身代理”几乎毫无价值,往往只会迫使接收者去处理那些冗长、充斥术语或可能不准确的文本。 相反,作者主张采取一种更负责任的做法:将人工智能作为起草工具,但要花时间阅读、验证并用自己的话总结信息。这样做能确保你真正理解内容,并增加一层必要的人类洞察力。在代码审查等背景下,盲目依赖人工智能的输出会将智力负担完全转嫁给审查者,使开发者变成被动的传声筒,而非积极的贡献者。为了保持价值,人类的参与必须包含批判性思维,而不是简单的转述。

这次 Hacker News 的讨论聚焦于员工沦为“肉身代理人”所带来的困扰——即有些人将未经核实的原始 AI 生成内容直接转发给同事,要求对方进行审核或修正。 工程师们反映,同事乃至高管正越来越多地将充斥着“幻觉”的长篇 AI 回复甩给他人,指望别人代为审核或清理这些“垃圾信息”。参与者认为这是职业素养的缺失,也是智力懒惰的表现,并指出如果一个人连自己生成的内容都不愿阅读或核实,那么其他人也没有义务去处理它。 讨论还涉及了关于人类认知“退化”的更广泛担忧,即个人越来越依赖大语言模型来弥补自身理解力的不足,而非亲自钻研。许多人建议实行“拒绝垃圾信息”政策,即除非附有人工撰写的摘要或能证明发送者理解其内容,否则拒绝处理 AI 生成的文本。最终,评论者们主张保持人类的主体性,强调真正的交流需要人类在综合与核实过程中进行脑力投入,而这是目前的 AI 无法复制的。
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原文

Too often I ask a question in Slack or leave feedback under a merge/pull request or argue with friends in a WhatsApp group and get back:

Claude said: [giant response verbatim]

Please don't do this. I mean, I've done this. But I've been on the receiving end too many times now. This is not adding value. I can talk to Claude myself. It's going to be faster and I get to control the context. I don't need a meat proxy in between.

Reading AI output is extra effort. It's verbose, frequently contains all too plausible nonsense, and is increasingly jargon dense. I recently got this sentence from Claude:

NATS control-plane events: stream leader election / R3 quorum re-form during pod churn.

Jesus. I had to lookup almost every word to make sense of this.

By all means, prompt AI. But don't just relay the output. Read it, understand it, validate it, and then write a response in your own words (a decent certificate that you've done the prior steps). Making that effort is value you can add.

Take code review in particular. Shipping some code can be done with close to zero effort now: Copy/paste the ticket description into Claude Code. Don't look at the code or read what Claude has written. If there's any feedback from reviewers, copy/paste that into Claude Code as well. If necessary, iterate.

That works. But who has done the implementation? The reviewers did, using Claude Code, and you as a meat proxy.

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