Unverified50% confidenceFactExact time
规模扩展（Scaling Law）带来涌现能力，即模型在参数突破某一阈值后突然习得此前未经专门训练的推理、类比与创作能力
1
Sources
50%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
The Revenge of the Philosophy Majors in the AI Era: Why Critical Thinking Has Become the New Scarce Resource
hackernewshackernews7/7/2026
Related Claims
Verified涌现能力是指当模型参数规模突破某一临界点后，突然涌现出训练目标之外的复杂能力，如逻辑推理、代码生成、跨语言迁移81% similarUnverifiedWhen model scale surpasses a certain critical point, emergent abilities appear, including in-context learning and chain-of-thought reasoning79% similarVerifiedScaling Law refers to the predictable and regular improvement in model capability as the number of parameters and the volume of training data increase.77% similarVerifiedWhen a model's parameter count surpasses a certain critical threshold, capabilities such as reasoning and debugging that are not seen in smaller models emerge, a phenomenon known as Emergent Abilities.76% similarVerifiedThe emergent capability of large language models refers to the complex reasoning ability that suddenly manifests after the parameter scale surpasses a certain threshold.74% similar
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