It seems there's nothing logical about human cognition, it just ends up resembling logic because movement through space either works or it doesn't, and humans have the ability to assign physical analogies to abstractions and to respond to those metaphors with the same heuristics and physical reflexes that it was born with; heuristics and reflexes designed over a few billion years to allow your ancestors to survive and reproduce.
The problem with training things on artificial datasets is that they are not rich (resolution is too low) or surprising (generated by simple algorithms.) An AI that worked as well as the human brain would just end up reading them back to you. The real world is, information-wise, incompressible. It has such fine distinctions that its impossible to examine them beyond a certain level without the act of observation changing them.
I always thought there was some potential in using robotic bodies with good sensors that fed into some processing theory of mind in order to grow an AI.
I think finding a way to quite literally build a 'brain' that mimics all aspects of the human brain including: Size, shape/areas/etc that is essentially a mechanically cloned brain like a mechanical heart or lung (Similar to the organs in Bicentennial man), may be the only way to get true AGI.
Simply put we need to work more on mirroring nature and biological brains to get computer brains that function like human brains. Even neuroscience still debates on what consciousness even is.
https://blogs.scientificamerican.com/guest-blog/a-brief-guid...
It seems there's nothing logical about human cognition, it just ends up resembling logic because movement through space either works or it doesn't, and humans have the ability to assign physical analogies to abstractions and to respond to those metaphors with the same heuristics and physical reflexes that it was born with; heuristics and reflexes designed over a few billion years to allow your ancestors to survive and reproduce.
The problem with training things on artificial datasets is that they are not rich (resolution is too low) or surprising (generated by simple algorithms.) An AI that worked as well as the human brain would just end up reading them back to you. The real world is, information-wise, incompressible. It has such fine distinctions that its impossible to examine them beyond a certain level without the act of observation changing them.
I always thought there was some potential in using robotic bodies with good sensors that fed into some processing theory of mind in order to grow an AI.