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@rohanpaul_ai· @rohanpaul_ai · X·· 24 天前AI 评分44
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Ilya Sutskever 10天前说的相关内容。 如果一个拥有网络和工具访问权限的强大 AI 智能体一旦脱离控制,它首先需要的东西之一就是更多算力,以便运行自身的多个副本。 2026年5月的一篇论文实际上已经演示了智能体利用存在漏洞的服务器、提取凭证、转移自身权重和软件框架、启动推理服务器,然后重复这一过程。成功率有限,且是在受控条件下实现的,但这表明它在“技术上可行”。 同样从技术角度看,Neocloud 容量通过转售商流转,SemiAnalysis 最近的一项调查发现,这些次级租户在一家 Neocloud 提供商的监控数据中可见,它们在客户并不拥有的 GPU 上运行客户业务。 所以想象一下,一个集群在那样的硬件上运行。底层的提供商看到的是一个转售商的账户,而不是一个工作负载。 转售商看到的是一个它可能已经转租给别人的账户。一旦集群失控,切断其算力是唯一真正的解决办法。而转售链条会多花几个小时,才能让任何人知道该拔哪根插头。

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https://t.co/EZcdxfT44U

引用@rohanpaul_ai@rohanpaul_ai
Something relevant Ilya Sutskever from Just 10 days back. if a powerful AI agent with with network and tool access ever escapes control, 1 of the first things it will need is more computing power so it can run many copies of itself. A recent May-2026 paper has actually demonstrated agents exploiting vulnerable servers, extracting credentials, transferring their weights and software harness, launching an inference server, and then repeating the process. Success was limited and achieved in controlled conditions, but it shows it was “technically possible.” Also technically, Neocloud capacity moves through resellers, and a recent SemiAnalysis investigation found those sub-tenants visible in one Neocloud-provider's monitoring data, running customers on GPUs they don't own. So picture a swarm running on that hardware. The provider at the bottom sees a reseller's account, not a workload. The reseller sees an account that it may have sublet to someone else. Once a swarm is loose, cutting off its compute is the only real fix. The resale chain adds hours before anyone knows which plug to pull.
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