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。

这篇 Hacker News 讨论探讨了“人工智能盲点”(AI-blindness)这一现象,即用户越来越难以处理或回忆起人工智能生成的内容。 参与者指出,AI 生成的代码注释往往过于冗长且结构晦涩,阻碍了理解,导致开发者不得不手动重写以求清晰。同样,用户反馈称,AI 生成的图像(通常带有离奇、令人不安的细节)和文本在本质上是“无法被记住的”,与人类创作的作品相比,它们难以给人留下深刻的认知印象。 这场对话凸显了识别能力上的差距:科技从业者对默认大语言模型设置下产生的“劣质内容”(slop)高度敏感,远比普通大众更善于识别 AI 内容。虽然一些人认为这种不便仅仅是烦人的琐事,但另一些人则提出,我们对这些工具日益增长的依赖可能会导致认知萎缩,从而对记忆力和分析能力产生负面影响。归根结底,共识认为,尽管生成式 AI 无处不在,但其输出的内容对人类大脑而言依然显得陌生,难以保持或进行有意义的解析。
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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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