Deep learning and neural networks have been inspired by the way our brains work. But if we turn it on its head and put human brain nodes in the place of regular nodes in the network what we get roughly is a simulation of humanity and our society.
There is a vast pool of human knowledge that has been thought of and experienced and passed on as tradition, history, facts, science, religion, arts and so on. This is the training data that feeds our human network. The base layers in the network roughly represent how the masses are educated with this raw data.
Then there is a whole hierarchy of people represented by successive layers graded by their weights and influence in the society like teachers, scientists, lawyers, priests, psychologists, doctors, artists.
The final layer are the decision makers, the big businesses, the politicians and the spiritual / religious authorities. They decide the course of humanity and the validity of the knowledge generated by the network i.e. whether it should be fed back to be retained in the base layers or not.
Out of this mess we want to generate an intelligent society, but it's always a modification of the past knowledge and thought. Any network after all, however smart and ingenuous it may appear to be is limited by the the training data.
So there is an artificial intelligence and order in the society which may improvise a bit on facing a new challenge but the response is always rooted in the past.
There is no general intelligence which can look at any problem afresh. Perhaps the solution to an orderly society doesn't lie in depending on human conditioning but breaking it. To see how the contents of our brains are related to the common content of humanity and to solve the human problems we all have instantaneously is the characteristic of this intelligence. It can't come about as long as the individual brain is occupied with its own trivialities and unable to perceive the functioning of the human network.
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