Unverified50% confidenceFactExact time
Pure text generation is idempotent, so generating a hundred candidates at worst wastes tokens without changing the world state; but candidate trajectories that include tool calls each genuinely change external state.
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50%
Confidence
Long-term
Relevance
10/16/2026
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Related Claims
UnverifiedGreedy decoding selects the highest-probability token at each generation step, producing deterministic and reproducible output, suitable for evaluation and scenarios requiring stable formatting, but it lacks diversity and tends to generate repetitive or conservative text.63% similarUnverifiedThe design approach of producing a written plan before generating visuals avoids wasting generation resources due to directional errors.63% similarUnverified仅仅改变输入文本的措辞和结构，就能让同一个模型的性能产生数十个百分点的差异61% similar
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