CONCEPT
Speciation and Branching
Mayr's framework for how populations diverge — into complete reproductive isolation (speciation) or diversification within a shared ecology (adaptive radiation) — applied to the branching of human and artificial intelligence.
Ernst Mayr arrived in New Guinea in 1928, a twenty-four-year-old ornithologist. What he found in the mountains of the Arfak Peninsula dismantled his typological education. Bird populations at different elevations graded into one another — clearly distinct at the extremes but connected by intermediate forms that defied classification. He was encountering speciation in progress — not an event but a continuum, a gradual accumulation of differences that, given sufficient time and isolation, would eventually produce populations so different they could no longer interbreed. The framework that emerged — that speciation operates on a continuum of divergence, and that boundaries
between species are maintained by the
degree of isolation between populations — provides the conceptual apparatus for thinking about whether human and artificial intelligence will diverge or radiate.
In The You On AI Field Guide
In Mayr's framework, a branching produces two possible outcomes. The first is speciation: populations diverge until they are no longer capable of productive exchange. Reproductive isolation becomes