{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Emergent Behavior — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Emergent Behavior

Capabilities or behaviors that appear in an AI model that were not explicitly trained for and were not predicted in advance, typically arising as a result of scale. The concept draws on complexity theory: quantitative changes produce qualitative shifts. In large language models, abilities like multi-step reasoning have appeared abruptly at certain scales, performing near-randomly in smaller models before jumping sharply above random in larger ones. Whether this constitutes genuine emergence or an artifact of how performance is measured remains actively debated. See also: scaling law, large language model, Phase Transition.

Source: gaks.ai/glossary/emergent-behavior →
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