Expired50% confidenceFactExact time
When LLMs are scaled to tens of billions or even trillions of parameters, emergent abilities such as reasoning, translation, and code generation arise.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Whats-LLM: An AI Programming E-Book Tutorial That Even Liberal Arts Students with Zero Tech Background Can Master
bilibili哭泣de御姐控6/22/2026
Related Claims
UnverifiedLLMs exhibit Emergent Abilities—capabilities like instruction following, logical reasoning, and code generation that spontaneously emerge when model parameter scale exceeds certain thresholds, without being explicitly trained.76% similarUnverified随着模型参数规模从亿级扩展到千亿级，LLM展现出涌现能力，包括多步推理、类比迁移和不确定性表达76% similarUnverified大模型参数规模通常从数十亿到数千亿不等，参数量越大对复杂语境理解能力越强，但对算力需求呈指数级增长72% similarUnverifiedWhen model scale crosses from billions of parameters to the hundreds-of-billions level, non-linear emergent capability jumps manifest on code tasks.72% similarVerifiedThe emergent capability of large language models refers to the complex reasoning ability that suddenly manifests after the parameter scale surpasses a certain threshold.71% similar
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