Neural nets fundamentally cannot operate the same way a brain does, because they cannot create an abstract representation of a problem, and then gradually and deliberately manipulate that mental model until they develop a solution. They just don't work that way, with current structures. They basically apply a single pass of a very complex function to the data, and spit out a result.
That isn't a problem of scale, it's a problem of architecture. This is one of the reasons Deepmind decided to tackle Starcraft. It's very difficult to solve Starcraft without your AI having some ability to develop and then manipulate a mental model of the game, because that's what you need to construct and unfold original, non-linear strategies.
That isn't a problem of scale, it's a problem of architecture. This is one of the reasons Deepmind decided to tackle Starcraft. It's very difficult to solve Starcraft without your AI having some ability to develop and then manipulate a mental model of the game, because that's what you need to construct and unfold original, non-linear strategies.