Unverified50% confidenceCautionExact time
Because model training data has a cutoff date and cannot verify information in real time via the internet (unless a search plugin is integrated), the risk of hallucination regarding highly time-sensitive information in political contexts is particularly prominent.
1
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50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
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Related Claims
VerifiedThe probability of hallucination increases significantly when contradictory information exists in the training data or when the model is asked about domains that are sparsely represented in the training data.76% similarUnverifiedBoth closed-source models and coding models are subject to training data cutoff dates, and without consulting documentation, they may generate outdated or hallucinated code.72% similarVerifiedLarge models output the most likely next word rather than precise retrieval of facts, which leads to hallucinations in domains with sparse coverage in the training data.70% similarUnverifiedA common mistake is using predictor variables during training that cannot be obtained at prediction time—for example, features that take several days to collect in full cannot be used for real-time prediction.69% similarUnverified时间序列预测不能简单随机划分训练集和测试集，必须按时间顺序切分以避免数据泄露68% similar
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