Unverified50% confidenceFactExact time
Decision Models have no reasoning step — the model reads the prompt once and directly scores the answer tokens, which is the fundamental reason for their speed.
1
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50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
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Related Claims
UnverifiedSimply stacking compute and scaling parameters cannot give transductive models fluid intelligence; it is the paradigm shift from guessing answers to constructing reasoning programs that brings about a qualitative leap.80% similarVerifiedResearch has found that the chain-of-thought reasoning generated by models does not fully correspond to their actual internal computation processes, and may provide post-hoc explanations unrelated to the true decision-making path.79% similarUnverified对话式大模型输出的证明文字基于统计模式生成，无法保证每个步骤逻辑严格成立75% similarVerifiedEach inference call to a large model is an independent forward pass; the model weights are completely fixed during inference and there is no mechanism to preserve state across conversation sessions.75% similarUnverifiedThe output of a judgment-type decision model is a closed, structured result, which is essentially a classification or regression task involving a single forward pass, with no autoregressive iteration overhead.74% similar
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