自然语言文本不存在无损转换
There are no lossless transformations of natural-language text
There are no lossless transformations of natural-language text
自然语言文本不存在无损转换
Sophie Alpert shares her "internal policy on acceptable use of AI writing by engineers". It's a short read (supporting its own recommendations) and really good.
Sophie Alpert 分享了她的“工程师可接受使用 AI 写作的内部政策”。这是一篇短文（支持其自身的建议），而且非常好。
If you chose to have LLMs help massage your writing the following rule seems crucial to me:
如果你选择让大语言模型帮助润色你的写作，以下规则在我看来至关重要：
You must stand behind every idea and every sentence in your docs. It is your responsibility to make sure that the entire document is representative of your own thoughts before you share it. If a reviewer asks, “What did you mean by this line?”, it’s not acceptable to reply with “Oh sorry, AI wrote that, just ignore it.” You will confuse your readers (and waste their time) if you present them things that are not genuinely representative of your thoughts.
你必须对文档中的每一个观点和每一句话负责。在分享之前，你有责任确保整个文档代表你自己的思想。如果审阅者问：“你这句话是什么意思？”，回答“哦，抱歉，这是 AI 写的，忽略它吧”是不可接受的。如果你呈现给读者的内容不能真实代表你的思想，你会让他们困惑（并浪费他们的时间）。
The "no lossless transformations" idea from the post title is expanded on here:
帖子标题中的“无损转换”概念在此处进行了详细阐述：
There are no lossless transformations of natural-language text — every rewrite and rephrase changes the meaning of your writing, and if this is done by an entity that doesn’t have the most detailed mental representation of what you personally were trying to communicate, information will be lost.
自然语言文本不存在无损转换——每一次重写和改写都会改变你写作的含义，如果这是由一个对你个人试图传达的内容没有最详细心智表征的实体完成的，信息将会丢失。
Tags: writing, ai, generative-ai, llms, ai-misuse
标签：写作、AI、生成式AI、大语言模型、AI滥用
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