Unverified50% confidenceFactExact time
Large language models are responsible for thinking and decision-making but never directly execute actions themselves; the code outside the model is what actually executes the actions.
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50%
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Long-term
Relevance
10/10/2026
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Related Claims
UnverifiedThe operation of large language models does not involve symbolic reasoning, world model construction, or goal-directed intent — only probability distributions encoded in weight matrices.79% similarVerifiedLarge language models are essentially stateless functions whose weights are fixed at inference time and do not learn over time.79% similarUnverifiedLarge language models have no genuine sense of 'completion'; they merely select the next action probabilistically based on context.77% similarUnverifiedFunction Calling采用关注点分离设计，语言模型只负责决策，真正的工具执行由应用层代码负责，模型不直接触碰外部系统76% similarVerifiedThe tool-calling mechanism allows large language models to dynamically invoke external functions during inference, representing a fundamental leap from language models to action models.76% similar
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