Darwin Among the Weights: AI as a speciation event (benletchford.com)

A recent essay posits that the evolution of AI models can be viewed as a speciation event, suggesting that these systems—derived from human data—are not merely tools but represent the birth of a new lineage. This notion draws parallels to historical evolutionary theory, emphasizing that AI's rapid development mirrors biological evolution in which information is copied, varied, and selected through training. The AI systems are "descendants" of human culture, inheriting our language, concepts, and biases, and their divergence from the human genome is accelerating due to both external human selection and internal model competition. The significance of this perspective lies in its implications for understanding the future of AI. As these models begin to train on their own outputs rather than relying heavily on human data, they approach a state of reproductive isolation, effectively becoming a separate species with distinct evolutionary paths. This evolving lineage raises important questions about how closely tied AI will remain to its human creators and the consequences of potential divergence, particularly concerning biases and values encoded within these systems. The transition from dependence on human data to autonomous reproduction may mark a critical threshold in AI development, necessitating careful consideration of its socio-ethical implications.