There is an estimated 100 billion nuerons in the human brain. We know from information theory that DNA is not nearly long enough to describe all of those connec

There is an estimated 100 billion nuerons in the human brain. We know from information theory that DNA is not nearly long enough to describe all of those connections. This means that most of the complexity of the brain is emergent. I envision bundles of neurons that begin their existence mostly disconnected... These bundles are described somewhere in DNA (but not their ultimate learned configuration) and so is whatever learning algorithm drives this process. We will have AGI when we understand the underlying learning algorithm our brain uses... Personally, I believe that algorithm involves fantasizing future scenarios and learning from the fantasies.