Unverified50% confidenceOpinionExact time
Large model inference is evolving from a conversation-first to an agent-first direction.
1
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50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
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Related Claims
UnverifiedIn an agent, the large model is responsible for reasoning and planning decisions, while tools are responsible for executing tasks, with tool invocation uniformly controlled and decided by the large model.77% similarUnverified先建立粗粒度心智模型再迭代细化的广度优先策略，在面对复杂系统时往往比深度优先策略更高效76% similarUnverifiedThinking models with Chain-of-Thought reasoning capabilities may consume 5–20 times the tokens of ordinary conversations in practice, due to the need to generate large numbers of intermediate reasoning tokens.76% similarUnverifiedThe greatest advantage of the sandwich architecture is the freedom to choose the currently strongest reasoning model as the agent's brain, without being limited by whether the model itself supports voice.75% similarUnverifiedReasoning models with the thinking function enabled perform significantly better than base models when handling counterintuitive questions.74% similar
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