Unverified60% confidenceFactExact time
Native large models suffer from a knowledge cutoff problem and will produce hallucinations when answering questions about content after their training date.
2
Sources
60%
Confidence
Long-term
Relevance
9/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedNative large language models generate answers by learning from massive amounts of publicly available internet data, have a knowledge cutoff date, and are prone to hallucinations about events after that cutoff.79% similarVerifiedThe content returned by large models is essentially data from the point in time when they were trained, with a definitive knowledge cutoff.79% similarUnverifiedA model's knowledge is frozen at its training cutoff date, and the model has no way of knowing what happened after training was completed78% similarVerified大模型幻觉的技术本质在于模型在训练时学习的是语言模式的概率分布而非事实本身75% similarUnverifiedNative large models are trained on publicly available data, have no independent reasoning ability, can only perform probabilistic generation based on learned knowledge, and have a knowledge cutoff date.75% similar
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