Well, this seems to be the case for most AI examples.
While as they might work on their training set, there are always going to be things outside its field of encounter with which it must deal, sort of like the Godel Incompleteness Theorem for algorithms.
I have heard it said that old ideas about the brain were that left-brain deals with analytics, while as the right brain deals with creativity. The newer reformulation of this idea is that left hemisphere deals with predictability and established patterns, while as the right side deals with chaos and disorder.
Evolutionaryly, that arose when primitive mammals planed a task and a situation arose to thaw the plan. For example, when a mouse set out to eat berries, gauging which bush had more, when a dinosaur tried to eat the mouse.
Given a couple of millions of years, we can ask if nothing means void [nothing expected], empty [in the sense that we expect something, but not get anything], unknowable [don't have an idea if we should expect an answer] or other [to be determined]. Wistful thinking of something like Georg Cantor's different types of infinities applied towards "nothing"s!