不要用 AI 写作
Don't Use AI to Write

原始链接: https://paulbakker.io/writing/no-ai-for-writing/

虽然人工智能是研究、数据分析和编程的强大工具,但作者认为,永远不应让它代你写作。写作从根本上是一个深度思考的过程;将写作外包给人工智能,实际上绕过了理清思路和解决复杂问题所需的认知工作。 写作的生产力不在于数量或速度,而在于你见解的影响力。一份简练、深刻的文件,远比一份冗长且充斥着废话的人工智能生成的报告更有价值。 作者建议采取一种平衡的方法:在动笔*之前*,利用人工智能收集信息、整理数据或识别规律。在完成初稿后,将人工智能作为陪练——通过提问来发现思维盲点或梳理核心要点——而不是让它来重写或润色你的文字。归根结底,人工智能应作为反馈和准备的工具,但沟通的核心必须始终是你个人批判性思维的产物。

这篇 Hacker News 的讨论探讨了关于使用人工智能进行写作的争论,并将此与历史上从打字机向文字处理器的过渡进行了类比。 一些用户认为,如果使用得当且目标明确,人工智能可以成为提高生产力的强大工具,它有助于快速编辑、调整语气和语言学习。他们将其比作掌握任何新技术所需的“汗水”,并指出用户不应满足于懒惰的“一键式”提示词。 相反,怀疑论者警告称,人工智能让写作者跳过了整理思绪这一关键步骤,从而导致认知纪律的退化。另一些人则提出了实际的担忧:对于用户未能完全掌握的语言,人工智能难以把握其中的细微差别,可能导致意想不到的含义和文化偏差。 归根结底,这一共识反映了人工智能辅助写作的效率与保持人类在交流中的主体性、意图和真实性之间的矛盾。一些参与者还对回应人工智能生成内容所带来的社会成本表示沮丧,并质疑与非人类创作的信息进行互动的价值。
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原文
Articles

Writing requires thinking, don't let an AI do the thinking for you.

AI

Tools like Claude, Codex/ChatGPT and Gemini are great. I use them all day (both at work and personally) for coding, research, digging through data, collecting information etc. But what I don’t use them for is writing, and I strongly suggest you do the same.

Don’t skip the thinking!

Writing forces you to deeply think about the problem you’re solving, and what you’re trying to communicate to your readers. This is why writing is hard, but also why writing is such a useful tool to help you think. If you generate a document based on some bullet points, or whatever the source is, you’re skipping the thinking step. The result probably looks “pretty good”, and you’re likely going to accept it with some minor tweaks. But did you think deeply about the problem? Does the document really reflect the most important things you wanted to communicate? Probably not. But you’ll never know, because you skipped the thinking step.

The issue is not that AI tools are bad at writing (to the contrary), they’re just bad at thinking and coming up with new ideas. And that’s exactly where you come in!

If you’re worried that this will slow you down, ask yourself what your added value is if you’re just prompting an AI to do the thinking for you. Productivity in writing isn’t about producing the most content in the shortest amount of time, just like programming is not about producing the most lines of code. It’s about the ideas you bring, and the impact those ideas have on your team, company or others around you. Does it help your company more to have a 60-page strategy document full of fluff that never gets to the core of what problem you’re solving, or would a 3-page, very well thought through strategy be better?

So no AI to help with documents at all!?

It’s not about being dogmatic. Prevent replacing your own thinking with an AI’s “thinking”, but use tools where they actually bring value.

Once my initial writing (and thinking) is done, I actually do use AI to further improve a document. I’ll use prompts like “Read this doc, what questions would you have?”, or “what is the most important take away in this doc?”. This is similar to asking someone to proofread before you publish. Try to refrain from asking an agent to make fixes or improvements; just ask it questions. Based on the feedback you get back, you’re back in thinking mode how to best address the feedback. Just like you would ask a co-worker for feedback on something you wrote, but you wouldn’t ask a co-worker to “write a document based on these 5 bullet points”.

AI tools are also very useful while preparing to write. Sifting through data, structuring data, finding patterns, etc., are all things that can be done faster, and better, with the use of AI. It can help you better understand a problem, before thinking about solutions for that problem.

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