The development of artificial intelligence is increasingly guided by principles drawn from biological evolution, a process that has shaped life on Earth for billions of years. Two key concepts at the forefront of this evolution are genetic algorithms and synthetic memes. These tools, inspired by the principles of natural and cultural evolution, are forging new paths for the creation of intelligent systems capable of learning, adapting, and evolving in complex environments. Richard Dawkins’ The Selfish Gene offers a compelling framework for understanding these concepts. Dawkins introduces the idea that genes are the fundamental units of natural selection, acting in ways that ensure their own survival and replication. This gene-centered view of evolution challenges traditional organism-centered perspectives, highlighting that behaviors which appear altruistic, such as kin selection, can be understood as strategies that ultimately promote the survival of shared genes (Dawkins, 1976).