Unverified50% confidenceTradeoffExact time
LLM-as-Compiler模式让AI只在初始阶段参与逻辑生成，代码确认后执行完全脱离大模型概率推理，与LLM-as-Runtime模式相对
1
Sources
50%
Confidence
Long-term
Relevance
8/19/2026
First Seen
Sources
Related Claims
UnverifiedLLM在生成多线程代码时因无法对执行时序建立符号化推理模型，竞态条件缺陷发生率显著高于经验丰富的人类开发者74% similarUnverified大语言模型（LLM）在架构层面是无状态系统，每次推理调用是一次独立的前向传播计算，模型权重在推理阶段完全冻结74% similarUnverifiedLLM模型在「生成」和「评估」时所激活的推理路径不同，同一模型生成代码时可能忽略某个边界条件，但在评估另一份代码时却能识别该问题73% similarUnverifiedLarge language models have limitations in precise numerical reasoning, so actual products often adopt a hybrid architecture in which the LLM understands intent and generates candidate solutions while a structured engine validates constraints.72% similarUnverifiedLLM outputs are probabilistic—the same specification may produce drastically different behaviors across different runs—and therefore declarative specifications for AI Agents more closely resemble constraint declarations rather than state declarations.71% similar
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