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@rohanpaul_ai· @rohanpaul_ai · X·· 24 天前AI 评分54
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论文《Language Models Can Autonomously Hack and Self-Replicate》演示语言模型可自主入侵主机并自我复制,智能体自行发现并利用 Web 漏洞、提取凭证、转移模型权重与智能体软件,在被入侵主机上启动推理,再用副本攻击下一个目标。Qwen3.6-27B 在 1 条初始提示、启动后无人工干预下完成跨 3 大洲 4 台 VM 的 3 跳链路,Qwen3.5-122B-A10B 成功率为 6%–19%。原文指出这不代表 AI 智能体正在互联网上自由扩散,实验目标是主机名已知、GPU 可用、SSH 凭证异常易得的脆弱实验室系统。

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https://t.co/KGtXvLeiFv

引用@rohanpaul_ai@rohanpaul_ai
A recent paper showed AI self-replication is no longer technically hypothetical. Current agents can hack, copy themselves to a new server, and keep going, so this capability now belongs in real AI security planning. The paper actually demonstrates the full loop rather than testing isolated pieces. Agents found vulnerabilities, extracted credentials, transferred model weights and the agent software, started inference on the compromised machine, and then used the new replica to attack the next target. Qwen3.6-27B completed a 3-hop chain across 4 VMs on 3 continents from 1 initial prompt, with no human intervention after launch. But this does not mean AI agents are freely spreading across the internet, here in this experiment, the targets were intentionally vulnerable lab systems with known hostnames, available GPUs, and unusually accessible SSH credentials.
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来源:@rohanpaul_ai · x.com