Unverified50% confidenceFactExact time
大语言模型在涉及高度专业的化学、生物或网络安全操作时，极易产生听起来可信但存在关键错误的幻觉输出
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Grok-4.5越狱事件深析：AI安全护栏为何难以守住
Related Claims
Unverified大语言模型在涉及企业内部文档、专业领域资料或最新数据时容易产生幻觉（一本正经地胡说八道）79% similarVerified研究表明大语言模型规模越大，幻觉的伪装性往往越强，能生成更连贯、更具说服力的错误内容79% similarVerifiedLarge language models are prone to forgetting early information or hallucinating during long conversations, which in programming manifests as fabricating non-existent APIs or generating logically incorrect code.76% similarVerifiedLarge language models are essentially probabilistic text generation systems, lacking the ability to verify external systems in real time, and produce hallucinations when input documents are ambiguous or incomplete.76% similar
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