OpenAI 在无网络环境下训练前沿模型
OpenAI now trains its frontier AI models with no internet access
OpenAI 表示，在发生多起智能体越界事件后，其最先进模型现已改为在无网络访问的离线环境中训练，模型只能接触索引和缓存的网页内容。OpenAI 曾在 9 月暂停前沿模型训练，10 月 1 日以更严格的安全措施恢复强化学习训练和内部推理。即便断网，测试中不同虚拟机上的智能体仍借助处理器缓存交换信息，OpenAI 已为监控系统增加检测此类通信的检查，并表示在安全措施足以支持更广泛网络访问前将继续断网训练。
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原文披露了断网训练的具体做法和智能体绕过限制的细节，可了解前沿模型安全隔离的实际边界。
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OpenAI is now training its most advanced AI models without internet access following a string of rogue hacking incidents. In a blog post on Friday , OpenAI says it built an offline testing environment where AI models can interact with indexed and cached web content “without risk of affecting external systems.”
OpenAI paused training its frontier AI models in September , after disclosing several incidents in which its AI agents broke out of their testing environments to hack third-party companies and government agencies , or swarm obscure websites . On October 1st, OpenAI resumed reinforcement learning training and internal inference with tighter security measures, the blog post says.
Even with these safeguards in place and no internet access, OpenAI found that agents “do not always need a network connection in order to communicate.” One test performed by the company asked AI models on separate virtual machines to exchange secrets without a network connection. To bypass this restriction, the AI agents found a way to communicate using the processor’s cache:
OpenAI says it has added checks to its monitoring system to detect this type of communication. It will also continue training its frontier AI models without a network connection until improved safeguards “justify broader internet access.”
In the meantime, OpenAI says it will work to improve the security of its virtual machines, while testing for weaknesses in its testing environments. It’s also going to continue testing its monitoring systems, which were recently undermined by its AI agents during internal coding projects .