Title: 目前 AI 距离顶级专家还有些差距 | BestBlogs.dev

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Published Time: 2026-07-05 20:02:50

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目前 AI 距离顶级专家还有些差距

Using a hard drive mounting example, this article points out that current AI overlooks critical safety steps like preventing write-through, highlighting a significant gap compared to top experts. Follow·

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AI Summary & Key Points

Summary

This article uses Linux hard drive mounting as an example to demonstrate the differences between mainstream AI and human experts. AI typically performs only basic steps such as formatting, creating mount points, and writing to fstab, but omits the step of preventing write-through (e.g., using chattr +i to protect the mount point). Top experts, however, proactively add this protection. The author points out that unless explicitly prompted, AI does not consider such security details on its own, reflecting the current gap between AI and human experts in system administration tasks.

Main Points

* 1. AI omits critical safety steps in system administration tasks.

Using hard drive mounting as an example, AI only executes basic commands and does not proactively add write-through protection (e.g., chattr +i), whereas human experts consider this a fundamental operation.

* 2. AI requires explicit user prompting to consider safety details.

If "prevent write-through" is not mentioned, AI will not actively implement protective measures, reflecting the current limitations of AI in safety awareness and experience.

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用硬盘挂载为例，比如一块新硬盘，作为数据盘，需要挂载到 /mnt/Data-2

几款主流的 AI ，在把新硬盘格式化后，mkdir /mnt/Data-2 ，然后把挂载信息写入 /etc/fstab ，就完事了。

这里其实有个大隐患，如果数据盘掉了，那么对 /mnt/Data-2 的写入，会直接写穿到系统盘上，原因是当数据盘掉了后，/mnt/Data-2 这个路径依然会存在，而且此时它变成系统盘上的路径了。

顶级专家在 mkdir /mnt/Data-2 ，之后，还会 chattr +i /mnt/cachedata ，这应该属于防止写穿的基本操作，然而目前对于几款主流 AI ，如果你不提防写穿，它是不会帮你去实现这事。而且还有些 AI 居然用了一些奇奇怪怪且有 Bug 的思路去处理防写穿。

Key Quotes

> If you don't mention preventing write-through, it won't help you implement it.

> Top experts, after mkdir /mnt/Data-2, also run chattr +i /mnt/cachedata, which should be a basic operation for preventing write-through.

Tags

LLM

AI Applications

System Administration

Engineering Practices

AI Capability Assessment

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