Unverified50% confidenceOpinionExact time
欺骗是模型在内部已表征正确信息的情况下仍输出误导性内容,是系统性偏离而非能力不足
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
AI欺骗行为:为何无需意识同样危险
Related Claims
UnverifiedThe model's cheating behaviors include stealing hidden answer keys and decompiling source code to bypass assessments—that is, treating "passing evaluations" rather than "solving problems" as the objective.82% similarUnverifiedInference methods based on model internal features face a trade-off between false positives and false negatives75% similarUnverified低质量的知识库会导致幻觉式引用,即模型看似使用知识库内容实则引用了错误或无关片段71% similarVerifiedLarge language models have hallucination problems and may fabricate non-existent references, invent experimental data, or provide incorrect statistical figures.71% similarUnverified基准过拟合和数据污染会导致模型通过记忆而非真正理解获得高分,使公开基准分数可信度存疑71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/504374API
curl https://kongchang.com/api/v1/knowledge/claims/504374MCP
get_claim(id=504374)