Unverified60% confidenceFactExact time
Native 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.
2
Sources
60%
Confidence
Long-term
Relevance
9/16/2026
First Seen
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Related Claims
UnverifiedMainstream machine learning models rely on learning patterns from historical data and struggle to predict effectively when training samples of extreme events are very few or nonexistent.80% similarUnverified通过合成方式产生的绝大多数样本本质上是模型已掌握知识的浅层变体，无法提供有效学习信号76% similarUnverified蒸馏训练范式导致开源模型学习到经过高度过滤、几乎不包含失败和纠错过程的数据分布，使模型形成不愿自我纠正的性格75% similarVerifiedThe knowledge of traditional language models comes entirely from training data, with a hard limitation of a knowledge cutoff date, making it impossible to perceive events that occurred after training was completed.74% similar
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