# Fixed Point of Recursive Self-Improvement **Entity class:** Theoretical AI concept **Domain:** Artificial intelligence / Recursive self-improvement **Maturity:** Developed ## Definition A fixed point of recursive self-improvement is a hypothetical state at which a system can no longer produce meaningful improvements to its own architecture, tools, or research process under the resources and constraints available to it. ## Mechanism and significance The concept separates indefinite feedback from unlimited progress: recursive improvement can accelerate while still encountering physical, mathematical, economic, or verification ceilings. ## Relationships - **Research dossier:** [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] - **Ontology route:** [[ASI and RSI Timeline Ontology#Scientific Intelligence and Recursive Improvement|Scientific Intelligence and Recursive Improvement]] - **Primary fields:** [[AI for Science]] · [[Scientific Acceleration]] · [[Machine Intelligence]] - **Adjacent concepts:** [[The Bitter Lesson]] · [[General Function Approximation]] · [[Metacognition]] · [[Simulatable Domain]] ## Sources and provenance - [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] — immediate source for this node's role in the broadcast research map. ## Evidence boundary The research dossier establishes why this entity or concept belongs in the Moonshots ontology. Time-sensitive organizational, product, policy, and performance claims should be checked against the linked primary source or a current authoritative source before reuse as settled fact.