Unverified50% 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
Sources
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% similarUnverified模型规模从数十亿参数跨越至数千亿量级时，在代码任务上展现出非线性突变式的能力涌现72% similarVerified大语言模型的涌现能力是指在参数规模突破某个阈值后突然展现出的复杂推理能力71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/40790API
curl https://kongchang.com/api/v1/knowledge/claims/40790MCP
get_claim(id=40790)