The capacity of an AI system to autonomously modify its own architecture, weights, or learning algorithms to improve performance, generality, or efficiency without direct human intervention. Central to recursive self-improvement scenarios and AI safety research, raising fundamental questions about capability control, value alignment, and the conditions under which iterative self-modification remains aligned with intended objectives.
Semantic Classification
Content
Self Improvement — content pending enrichment.