
The traditional boundary separating software engineering from biological processes is dissolving as artificial intelligence systems begin to exhibit the fundamental characteristics of self-directed Darwinian evolution. This shift represents a radical departure from human-directed machine learning, where engineers curate datasets and define reward functions, toward a paradigm of Evolvable Artificial Intelligence (eAI). In this landscape, systems are no longer merely “designed”










