Expired75% confidenceFactExact time
Current large models are essentially static—once training is complete, the weights are frozen and knowledge remains at the training cutoff date.
3
Sources
75%
Confidence
Medium-term (~90 days)
Relevance
7/17/2026
First Seen
Valid until: 10/15/2026(expired)
Sources
Related Claims
UnverifiedAfter current large models complete training, their weights are frozen, and they simulate awareness of new information through context windows and RAG, while the model itself does not truly change.81% similarUnverified梁文锋认为持续学习是AI替代员工的关键跨越，当前大模型受限于训练后参数冻结的静态权重74% similarUnverifiedA frozen agent refers to an agent whose weights are no longer updated during the inference phase and that relies entirely on capabilities acquired through pre-training or post-training.74% similarUnverified大模型在训练时学习的是静态知识模式，难以感知真实业务场景中界面元素属性值动态变化的运行时不确定性73% similarUnverifiedThe core pain point that Function Calling addresses is that large models enter a state of knowledge stagnation after training ends and cannot obtain new information after the training cutoff.73% similar
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