One of the things I was really at pains to emphasize in my previous comment was that I think there are elements of information processing that are outrageously

One of the things I was really at pains to emphasize in my previous comment was that I think there are elements of information processing that are outrageously abstract, that would be familiar and accessible to AI but non-obvious to us. The transferability and generality that emerges would be nothing remotely so crude as the ImageGAN -> predator detection example that's being used to dismiss my point. An AI service that's only intended to solve one well defined problem may have pieces in its anatomy that are functionally equivalent to those in a different AI service solving a different kind of problem. You don't need to assume it's escaped the confines of it's well-defined domain, or that domains aren't well defined, for this to be true.