A major difference here is that humans don't have user defined stimuli.
Human intelligence evolved because of the need to survive which evolved because of the need for genetic replication. Our need to survive lead to a nervous system which created the need for a central management platform (the brain).
People do understand the deep-learning models they create. They're based on a user defined limit for error which is the mathematical distance between what is and what is not.
I think that until we have an algorithm that can rewrite itself optimizing for existence (bug-less-ness and a continuous power supply?), we won't even scratch the surface of general AI.
Human intelligence evolved because of the need to survive which evolved because of the need for genetic replication. Our need to survive lead to a nervous system which created the need for a central management platform (the brain).
People do understand the deep-learning models they create. They're based on a user defined limit for error which is the mathematical distance between what is and what is not.
I think that until we have an algorithm that can rewrite itself optimizing for existence (bug-less-ness and a continuous power supply?), we won't even scratch the surface of general AI.