Unverified50% confidenceFactExact time
Native 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.
1
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50%
Confidence
Long-term
Relevance
10/3/2026
First Seen
Sources
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Related Claims
UnverifiedNative large language models are trained on massive publicly available internet data and generate probabilistic responses based on learned knowledge.80% similarUnverifiedNative large models suffer from a knowledge cutoff problem and will produce hallucinations when answering questions about content after their training date.79% similarVerifiedThe content returned by large models is essentially data from the point in time when they were trained, with a definitive knowledge cutoff.76% 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.74% similarUnverifiedInjecting the current accurate date and time into the system prompt can allow the model to answer based on external authoritative information rather than internal inference.71% similar
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