Human Learning vs. Machine Learning

Machines may undergo extremely accelerated learning cycles given the inherent inter-contentedness of their network. By this I mean when a human learns the optimal strategy for a particular event it is a single point of learning affecting that one individual. When a machine learns the optimal strategy it will be seamlessly distributed to every other machine in the network. 

There are very clear, inherent limitations in human learning. You need to "teach" (verb) me your understanding. It takes time to get you from 0 to 1. Once one machine gets to 1, every machine has got to 1. 

Imagine every human benefiting from the collective intelligence of every other human on the planet every day for the entire history of humanity. No rote learning, repetition or time delay through new cognition. Instant understanding, unlimited progress.