Verified75% confidenceFactExact time
The chain-of-thought effect is particularly pronounced in models with parameter counts exceeding 100B.
5
Sources
75%
Confidence
Long-term
Relevance
7/6/2026
First Seen
Sources
Decoding Claude's Design System Prompt: How AI Internalizes Aesthetic Judgment
hackernewshackernews7/5/2026
Related Claims
UnverifiedThe CoT effect is especially pronounced in models with parameter counts exceeding approximately 100B, manifesting as 'emergent capabilities'.74% similarUnverifiedH100内存子系统的动态功耗在大模型推理中占比可达整卡功耗的20%～35%73% similarUnverified推理模型通过思维链或内部搜索进行多步推演，token消耗量可能是普通模型的5到20倍72% similarUnverifiedResearch found that CoT reasoning ability emerges spontaneously only in ultra-large-scale models with more than approximately 100B parameters.71% similarVerifiedChain-of-thought can improve accuracy by more than 40% on complex tasks such as mathematical reasoning69% similar
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