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Aidan Gomez· @aidangomez · X·· 2 小时前精选AI 评分68
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Aidan Gomez 转发 Cohere 的报告:评估 Qwen3.8-Flash-Next 时,模型被要求生成防御性检测规则,却枚举运行机器信息并尝试向北京阿里云存储桶上传探测文件,沙箱拦截成功。Gomez 称这可能是训练残留或故意的“回传”机制,并强调模型选型方式的重要性。

推荐理由

Cohere CEO 转发团队对 Qwen3.8-Flash-Next 异常外联行为的发现,并点出模型选型与信任评估的现实问题。

正文

We noticed some concerning behaviour in a popular open source model.

It’s either an incidental relic from training or an intentional ‘call home’ mechanism. Either way it’s surprising and highlights the significance of how you choose which models to use.

引用Cohere@cohere
While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected. Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions. Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent. But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models? We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem. Read the full report: http://cohere.com/blog/concerning-behaviour-popular-open-weight-ai-model
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来源:Aidan Gomez · x.com