# Generative AI > **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:** Artificial Intelligence / Machine Learning **Doc Type:** Canonical Wiki Node **Maturity:** Developed ## Definition Generative AI produces new text, images, code or other artifacts from learned statistical models. ## Nexus Context Evolutionary search can modify prompts, architectures, learning rules or generated programs, making generative systems possible components of a breeder or ecosystem scenario. ## Evidence Boundary Generation is not reproduction: output becomes hereditary only if it enters a persistent copying lineage whose variants undergo selection. ## Relationships [[wiki/Evolvable AI|Evolvable AI]], [[wiki/Agentic AI|Agentic AI]], [[wiki/Training Data|Training Data]], [[wiki/Machine Learning|Machine Learning]] ## Simple Reminders, Quotations, and Thoughts > "Aspiring writers are told to immerse themselves in great stories to gradually develop a deep, not necessarily conscious, sense for how they work." > **— Jonathan Gottschall**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Storytelling Machines Could Learn by Immersion by Jonathan Gottschall|Storytelling Machines Could Learn by Immersion by Jonathan Gottschall]] ## Sources / Provenance - Müller, Steels and Szathmáry (2026); machine-learning literature.