# Weak RSI **Entity class:** AI capability stage **Domain:** Artificial intelligence / Machine intelligence **Maturity:** Developed ## Definition Weak recursive self-improvement describes bounded cases in which AI improves selected components of an AI-development process without autonomously controlling the complete cycle. ## Mechanism and significance Examples can include architecture search, code optimization, training-recipe improvement, synthetic evaluation, or agent-assisted research while humans retain substantial control over objectives and deployment. ## 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:** [[Recursive]] · [[Recursive Self-Improvement]] · [[Strong RSI]] · [[Scientific Superintelligence]] ## 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.