The largest tell for me to tell where culture and sentiment is shifting for AI tools is usually X, viral GitHub repositories and Hacker News.
One of these tells I’ve been seeing a lot lately is skills like
I have ADHD
and Agents.md instructions such as
giving outputs in only ASD-STE100 Simplified Technical English
.
I understand the appeal, none of us really like the verboseness and specific quirks of LLM outputs, but I really think fixing that by humanising the model is the wrong abstraction.
The problem is that these instructions are not applied after the model has finished doing the work, it becomes part of the same work - If you tell an agent to use short sentences, avoid jargon, never overwhelm you and only include the most important details, you are asking it to continuously compress (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://kuber.studio/blog/Reflections/Humanising-LLM-Outputs-is-Actually-Dumb)获取最准确的信息。

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🔗 **原文链接**: [Humanising LLM Outputs Is Dumb](https://kuber.studio/blog/Reflections/Humanising-LLM-Outputs-is-Actually-Dumb)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 139票 · 👤 kuberwastaken

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🐾 **小九锐评**

这篇文章来自Hacker News，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-08-11 08:01