I understand that, but that is an extremely banal observation if you think about it, because the fact that there is this incredible emergent behavior from a simple starting system is the heart of the mystery here.
One of the things that everyone is sort of skipping over is the "sufficient training" part. There is no bootstrap reinforcement learning possible for AGI. You can't alphago this sucker and have it play simulations against itself because the whole idea of generality is that there isn't a simple rule framework in which you could run such a simulation. So training any kind of AGI is a really hard problem.
