Expired65% confidenceFactExact time
Many open-source models use high-quality outputs generated by commercial models such as GPT-4 and Claude as training data, which is the knowledge distillation training paradigm.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Fixing Tool Confusion: A Practical Method to Make DeepSeek v4 Outperform Opus
bilibili全球播客频道6/6/2026
Related Claims
UnverifiedMainstream large language models (including GPT-4, DeepSeek, Claude, etc.) are all trained on static corpora and have a definitive knowledge cutoff date.84% similarUnverified主流模型如 GPT-4、Claude 在训练阶段被强化了对系统提示词的优先遵从性，系统提示词的约束效力通常强于用户指令80% similarUnverifiedGPT-4、Claude等通用大模型在预训练阶段学习的是互联网上的海量公开文本，倾向于给出通用的回答80% similarUnverifiedLarge models (such as GPT-4) can be used to automatically generate synthetic training data from domain documents, reducing annotation costs.80% similarUnverifiedThe self-training breakthrough in GPT-5.3 extended the self-evaluation mechanism to the entire training data pipeline, meaning the training materials themselves are also generated by the model, not just used for evaluation.79% similar
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