Expired50% confidenceFactExact time
The concept of 'Emergence' in large language models describes how models at sufficient scale exhibit intelligent capabilities far beyond what their individual components would suggest
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Introduction to AI Literacy: How Teachers Can Build a Systematic Cognitive Framework
bilibili老树屿陆和朋友们6/13/2026
Related Claims
VerifiedResearchers refer to the phenomenon in which large language models suddenly exhibit new capabilities beyond their training objective once scale reaches a certain critical point as 'Emergent Abilities'.81% similarVerifiedThe emergent capability of large language models refers to the complex reasoning ability that suddenly manifests after the parameter scale surpasses a certain threshold.79% similarVerifiedEmergent ability refers to the phenomenon whereby, once a model's parameter scale surpasses a certain critical threshold, complex capabilities beyond the training objective—such as logical reasoning, code generation, and cross-language transfer—suddenly emerge.72% similarUnverifiedThe emergence of large language models elevated Agents from constrained rule-based systems to intelligent entities with general reasoning capabilities.70% similarUnverifiedAs the number of parameters grows, model capabilities exhibit astonishing 'emergent' properties69% similar
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