Unverified50% confidenceFactExact time
Code generated by large language models may introduce security risks such as dependency risks, logic vulnerabilities and permission abuse.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
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Related Claims
UnverifiedUnlike traditional software security vulnerabilities, the boundaries of language model jailbreaks are inherently fuzzy, and the same output may be judged as safe or dangerous depending on the context.78% similarUnverified当前自然语言生成代码的可靠性仍有明显瓶颈，复杂业务逻辑场景下生成的代码往往需要人工审查和修改73% similarUnverified高风险操作应要求人工审批，并将所有自然语言输入视为不可信，以防范智能体目标劫持71% similarUnverifiedThe same large language model may exhibit significantly different safety performance under different execution frameworks (harnesses).71% similarUnverifiedThe value orientations, knowledge boundaries, and safety mechanisms of large language models are embedded in hundreds of billions of parameters, making them difficult to externally audit or independently verify70% similar
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