AFAIK, certain abilities such as understanding arithmetic manifest at discrete scale points even though there is a continuous build up of potential. There is also the more remote possibility of a discrete scale that AI takes over its own training or at least starts to contribute substantially. A lot of real world leverage and arbitrage depends on such discrete surprises that may not be visible during the continuous incremental evolution. I think this principle holds computationally as much as it does biologically.