I would say that these algorithms display intelligence to the extent of their input and output abilities.
You won't get what Hofstadter considers as "real" AI (artificial general intelligence, or AGI) without physical robots who need to display survival instinct and skills in order to keep on working.
I'm not sure I want it to happen, to be honest, but I'm sure it will.
They don't have to mimic each and every quirk of humans to do so.
For example, human language is ambiguous, slow to produce and to understand. Packet-based networking and binary protocols are far more efficient. The same goes for our cognitive biases, even though some of them may be useful to survive, counterintuitively. A fast and energy efficient algorithm that works most of the time can be better than an exact one that's more expensive. See bloom filters, for example.
There is no reason a robot body is necessary for intelligence. It might even hinder it as the real world is much more messy and complicated than cleaned up and relevant data fed to machine learning algorithms.
You could probably bootstrap it in a virtual world too, that's true. I don't know if the skill acquired there would easily translate to the mechanical world, though.
You won't get what Hofstadter considers as "real" AI (artificial general intelligence, or AGI) without physical robots who need to display survival instinct and skills in order to keep on working.
I'm not sure I want it to happen, to be honest, but I'm sure it will.
They don't have to mimic each and every quirk of humans to do so.
For example, human language is ambiguous, slow to produce and to understand. Packet-based networking and binary protocols are far more efficient. The same goes for our cognitive biases, even though some of them may be useful to survive, counterintuitively. A fast and energy efficient algorithm that works most of the time can be better than an exact one that's more expensive. See bloom filters, for example.