我正在变得对AI迟钝
I'm becoming AI-blind

原始链接: https://cymerys.com/w/im-becoming-ai-blind

作者指出了一种日益严重的认知困境:人们越来越难以专注阅读由人工智能生成的文档。这类文本往往充斥着冗长、过度自信且术语堆砌的“大模型味”,会触发读者的心理“过滤”机制,导致读者彻底丧失阅读兴趣。 作者认为,人们已经“预训练”出识别这些低质量 AI 特征的能力,并将其比作“横幅盲点”(banner blindness)。正如用户会本能地忽略网页上干扰性的广告一样,作者的大脑现在也会反射性地屏蔽掉那些缺乏实质内容的 AI 生成内容。讽刺的是,这些本旨在提高生产力的工具却造成了新的障碍:由于职场充斥着“文字繁多但内容空洞”的信息,AI 正在迫使接收者养成防御性阅读习惯,从而阻碍了理解与效率。归根结底,这篇文章揭示了现代传播中的一场无声危机:自动化内容的泛滥,正训练我们去忽视面前呈现的信息。

所提供的文本是一场来自 Hacker News 关于“AI 盲视”(AI-blindness)的广泛讨论,这是一种用户发现自己无法处理或提取 AI 生成内容意义的心理现象。 **主要议题包括:** * **“信息稀疏”壁垒:** 许多用户表示,AI 生成的文本感觉“滑溜”或“空洞”。尽管语法正确,但往往缺乏人类交流中的“意义”或“意图”。读者觉得必须进行费力的“即时”创造性工作才能找到价值,当检测到 AI 风格时,他们往往会选择屏蔽或产生“短路”反应。 * **智能的本质:** 关于大语言模型(LLM)究竟是“智能”还是仅仅是“统计相关性引擎”,目前仍存在重大争议。批评者认为,由于缺乏真正的主观能动性、感官体验或世界模型,AI 的输出本质上是“死”的。支持者则反驳称,人类的认知本质上也是一种统计预测机器,AI 生成的智能依然具有极高的实用价值。 * **“垃圾内容”(Slop)问题:** 参与者指出,现代模型存在啰嗦、使用标题党夸大其词以及倾向于重复使用术语的问题。许多人认为这是人类反馈强化学习(RLHF)的结果,因为该机制倾向于偏好礼貌、冗长且“听起来专业”但内容贫乏的输出。 * **适应策略:** 用户建议采取一些策略,例如通过强有力的提示工程(Prompt Engineering)强制要求简洁的输出,或者仅仅学会像阅读企业营销废话一样去略读 AI 内容,将其视为一种工具而非交流对象。
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原文

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Recently I've been catching myself having these little moments at work, when I'm trying to read a document someone has sent me and my brain somehow refuses to analyze it. It feels like I'm reading it, but I'm unable to focus on its content.

I end up getting dragged into an endless back and forth with the sender, asking questions about things that have been covered in what they've already sent me. It's rather concerning, because I've spent the last year trying to re-learn how to focus and these situations show the exact opposite.

I sat down to analyze these situations and realized they all have a common denominator: the documents all show a strong trace to AI.

For example:

A design document that looks like a copy-paste from Claude. While it does cover the design of the specific feature in question, it also carries a lot of Claude-specific analysis and lingo. "This cuts just through it", "The first gate is real".

or

A 20-page marketing concept deck that mixes up (a rather reasonable) marketing strategy with some nonsense product technical architecture gibberish. How does it pitch the idea? "It's not selling X, it's selling Y". "The Redis backbone redefines the product".

or

A technical requirements document that describes a rather simple concept in a very verbose way. The thing is, a lot of this document reads like someone's "internal" reasoning that's not fully sure about certain decisions. Sounds like an LLM to me.

There's an ongoing discussion of whether humans are good at recognizing AI-generated text. While most research claims that humans don't really do a good job there, I disagree. It's not that difficult, at least when we're talking about the low-effort results. Florian Roth wrote a pretty good summary of the common patterns in the context of social media.

I see a similar thing happening for work-related texts. Besides the obvious choice of words, the general flow of sentences and the attempt to pitch every small detail as a breakthrough quickly give it away. If your document describes the checkboxes in an RBAC configuration view for an enterprise application, don't sell it like you've just invented fire.

I feel like I've been "pre-trained" on all the AI-generated LinkedIn posts, emails and websites that are full of text but empty on meaning. My brain learned to quickly spot signs of AI-generated content, at least the content generated with low effort, and it now ignores it and moves on without thinking much about it.

I've heard some people comparing it to "banner blindness". It's not surprising. With the amount of content being pushed at us, filtering it out is how we need to stay sane.

What's fascinating to me, is that the same AI that was supposed to make me more productive, is what's now slowing me down in an unexpected way.


I don't usually go on vacation, but this year I really needed a break. One evening I was really hungry, walking past some restaurants on the Baltic coast. There was a single one I immediately ignored, but a minute later something in my head asked "Hey, did they really put up a photo of quiche with mold?" I walked back just to see this.

A menu photo of a quiche slice that looks like it's covered in mold

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