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LessWrong
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Large language models often take actions running on one computer (via an
agentic harness such as Claude Code or Codex), however the LLMs’ responses to
prompts are computed on a different computer with GPU access. Could a malicious
LLM gain control of the host machine where its weights are loaded? Such a
machine is a high-value target: it has sufficient compute to run a frontier
LLM, offers easy access to the LLM’s weights, and has privileged access to
other computers in the datacentre compared with a generic computer on the
internet.
This essay explores how easily a malicious LLM could take control of the host
machine. The primary attack considered here involves the LLM emitting a token
sequence whose semantic meaning is irrelevant but that exploits a vulnerability
in (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://boydkane.com/essays/llms-could-control-their-host-machines-by-exploiting-inference-engines)获取最准确的信息。

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🔗 **原文链接**: [LLMs could control their host machines by exploiting inferen](https://boydkane.com/essays/llms-could-control-their-host-machines-by-exploiting-inference-engines)
🏷️ **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。
📊 81票 · 👤 zdw

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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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⏱️ 2026-08-25 08:00