Unverified50% confidenceOpinionExact time
Using LLMs to directly generate text for training the next generation of models does not work, but inserting an Agentic Workflow in between to generate high-quality data is useful for training new-generation models.
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50%
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Long-term
Relevance
10/7/2026
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Unverified在代码数据上训练的LLM不仅提升了编程能力，还显著增强了模型的逻辑推理能力，代码训练和逻辑推理能力之间存在正向迁移效应72% similarUnverifiedThe CUE framework requires no training and does not rely on fine-tuning the simulator's large model; instead, it drives off-the-shelf LLMs directly through an embedding and decoding mechanism.72% similarUnverified大模型本质上是token生成器，训练目标是生成看起来自然的文本，而非精确的数据结构72% similarUnverifiedLLMs are fundamentally autoregressive text generation models and are not designed for long-horizon task planning.71% similar
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