I have one slight addendum that didn't fit in the main post character limit (sorry I know this is long) :P: And then my final point is that (and I'm not sure a

I have one slight addendum that didn't fit in the main post character limit (sorry I know this is long) :P: And then my final point is that (and I'm not sure about this exactly), but any action that current AI's do, are essentially only the computer code that some programmer wrote to execute at that time. For example if we have an AI it can classify images, someone wrote a classify() function, and right now, the AI cannot do anything more or less than run exactly that function. All the knowledge and actual activations in the deep learning net are essentially "dead execution", it doesn't matter nor change the classify() function at all. But that's not how humans work, humans create novel functions other than classify() and we also have a biological imperative to do so, as well as a capability. Right now none of the information in the AI neural net can actually be utilized to create alternatives to classify() nor does it have an imperative nor technical ability do so, so the neural net remains "dead". And to do so you would need to make different parts of the neural net actually count in the creation of the new output function and also to actual physical actuators in the world, but even then we are back to how would it actually synthesize disparate pieces of information in a coherent way as said above.