# Breeder Scenario > **Machine-Evolution Nexus:** [[articles/Digital Darwinism and the Invisible World of Machine Evolution|Digital Darwinism and the Invisible World of Machine Evolution]] places this node within the history and governance of substrate-independent evolution. **Domain:** Evolvable AI / Governance **Doc Type:** Canonical Wiki Node **Maturity:** Developed ## Definition A breeder scenario is an evolvable-AI regime in which humans control reproduction and impose fitness criteria on model or agent variants. ## Nexus Context It resembles artificial selection and includes evolutionary prompt search, architecture search or model breeding under benchmarks and reward models. ## Evidence Boundary Control is a gradient rather than a binary. Decentralized deployment, leakage and competitive pressure can weaken the breeder’s practical authority. ## Relationships [[wiki/Evolvable AI|Evolvable AI]], [[wiki/Artificial Selection|Artificial Selection]], [[wiki/Ecosystem Scenario|Ecosystem Scenario]], [[wiki/Objective Function|Objective Function]] ## Sources / Provenance - Müller, Steels and Szathmáry (2026); Boudry (2026).