Reanalysis of recent data has led to two unexpected conclusions. 1) Animals with regulating embryos show exponential growth in the number of cell types (NCT) over geological time, while animals with mosaic embryos remain merely flat or linear on average, highlighting fundamentally different evolutionary strategies; 2) Recent evolution of the number of nerves in adult regulating animals has been doubly exponential. Mosaic animals tend to yield a pair of cells at each cell division that are differentiated from one another and their mother cell during embryogenesis, while regulating animals usually produce large numbers of presumably identical cell types at each step of embryogenesis, possibly via bioelectric fields. (The mother cell is usually different from both of its daughter cells in mosaic development, and is transient.) For some animals, these categories overlap. Nevertheless, plots of the number of cell types (NCT) versus estimates of when their first ancestors appeared show no increase on average for NCT versus geological time for animals whose embryos are generally categorized as mosaic, whereas animals with regulating embryos show an exponential increase in NCT versus geological time. An attempt to confine NCT to neurons failed due to sparse data, but did suggest that the total number of neurons in animals with regulating embryos increased as a double exponential over geological time (i.e., they have exponential behavior even on a logarithmic scale). AI has only been increasing exponentially with respect to the number of simulated neurons used in state-of-the-art algorithms. Thus, amalgamating human brains with AI, even if Ray Kurzweil's "Singularity is Nearer", may prove premature. Furthermore, amalgamation might lead to atrophy of portions of the human brain.
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