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I think I have LLM burnout

摘要

作者分享自己日常与 LLM 交互的感受:工作和家用场景下每天花费数小时与 Claude、Codex、ChatGPT、Gemini、Qwen 等模型互动,工作角色从纯设计与编码转为审阅 LLM 生成的代码片段,副业则是构建大规模无监督代码生成框架并处理 Qwen 输出。描述这些习惯带来的生产力提升和对 LLM 有效使用的持续学习价值,同时提到近几个月出现的反感 —— 幻觉、过于简短的片段、过度使用 emoji 等模式,指出这些不是单一烦扰,而是重复导致的整体疲劳。强调 LLM 并非问题根源,人类写作同样存在缺陷,但风格雷同与重复磨损了耐心,当前正通过咬牙坚持应对,尚未找到解决办法。

荐读理由

通过观察他人LLM输出风格疲劳的例子,能直接用上的方法是仔细审阅每个prompt和回复,避免直接依赖单一风格,避免风格单一导致的疲劳。

原文

I Think I Have LLM Burnout

July 8, 2026

I use LLMs a lot. By current dev standards, my usage rate is probably average, and my methods are probably primitive. I work on one task at a time and discuss it with Claude Code (at work) or Codex (at home, for now). Sometimes, I let the assistant write code, but I read the output thoroughly, understand it, and revise it. I’m not in the deep end of autonomous agents or agent orchestration. Still, I spend hours each day interacting with LLMs across work and home. That’s a hell of a lot more than I did a few years ago, and I probably don’t go a day without reading AI-generated text.

My job has changed from designing and writing code to designing code, describing the design to an LLM, reviewing code the LLM produces, and then finally writing code. The LLM steps expose me to approaches I might not have considered or been aware of. I also feel more comfortable in areas where I don’t have deep knowledge.

My main project right now is to establish a framework for large-scale, unsupervised code generation in our codebase. When I’m not working with Claude to create tooling, I’m sifting through the unsupervised agent’s (Qwen’s) output. Either way, I’m reading LLM content.

If I want to know something, I’ll probably ask ChatGPT or read Gemini’s overview unless I know what sites I want to check. I still have to fall back to browsing when the LLM’s answer is wrong, but it’s good enough for many casual queries, especially when useless AI-generated articles clutter the search results.

It’s been this way for about a year, and I don’t see myself stopping. I feel more productive with LLMs, and I think continually learning how to use them effectively is valuable. However, my disposition has changed a bit in the last few months. Some small part of me has started to dread reading LLM output because I know what I’m going to find. False assumptions and hallucinations. Emphatic, staccato fragments. ✨ Excessive emojis 🚀. It’s not just me—these are real patterns (🤮).

On their own, none of these annoyances gets to me. Together, though, they’ve gotten me sick of LLM writing in a hurry.

I’m not trying to condemn LLMs. Humans are fallible, too—we can be just as unreliable or annoying. The problem is repetition. LLMs write in the same style, and they make the same kinds of mistakes. Dealing with the same thing over and over is wearing me out. I can use personalization features if the interface offers them, but some idiosyncrasies seep through. And of course, I don’t control the style of content generated by other people.

I don’t know how to deal with this feeling yet. I didn’t expect to be so bothered by it. Frustration at a flaky tool is understandable, but the writing patterns grind my gears, too. For now, I’ll grit my teeth and hope I don’t lose my lunch.

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