# Recursive Architectural Self-Improvement **Entity class:** AI capability concept **Domain:** Artificial intelligence / Model architecture **Maturity:** Developed ## Definition Recursive architectural self-improvement occurs when AI systems help redesign the computational structures, training procedures, or evaluation harnesses used to build later AI systems. ## Mechanism and significance It is a narrower and more testable concept than unrestricted self-improvement because the changed artifact and the performance criterion can be identified explicitly. ## Relationships - **Research dossier:** [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] - **Ontology route:** [[ASI and RSI Timeline Ontology#Model Architecture and Compute Economics|Model Architecture and Compute Economics]] - **Primary fields:** [[Machine Intelligence]] · [[AI Infrastructure]] · [[Compute Race]] - **Adjacent concepts:** [[World Knowledge and Reasoning Kernel Separation]] · [[Model Self-Redesign]] · [[nanochat]] ## 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.