AI Can Now Debate with Humans and Sometimes Convince Them, Too
scientificamerican.com
scientificamerican.com
A good chunk of all arguments are a variant of the myth of the golden age, which has been around since the Greeks.
There's a saying that only three books have ever been written: voyage, love and war. I suspect the number of rethorical arguments is the same order of magnitude.
Injecting contextual facts into 500BC rhetorical forms is a little more human-level than repeating other people's filled-out Pnyxian madlibs, an activity that is a little below machine-level.
I absolutely agree that universal approximator != intelligence, but we're just arguing semantics, here.
Wouldn’t a class of universal approximators necessarily include some intelligent ones — for any measure of intelligence?
There’s obvious scaling issues, though.
Sorry to disappoint, but those questions are bottomless pits of debating semantics.
Okay — then why even make the comment in the first place?
You clearly meant something by “intelligence != universal approximator”, but you’re unwilling to provide any semantics to back that up.
Go ahead and define it: how do you mean that statement?
I think you’re just too embarrassed to admit you said a personal view that’s wrong.
I'm using "intelligence" in the sense of "thing that a layman who doesn't know what compact convergence or lebesgue integrable means would recognize as intelligent".
A layman would not call such an agent, by itself, intelligent.
I'm advocating avoiding the use of "intelligence" precisely to avoid this kind of conversation.
Can you give an example of a "thing that a layman who doesn't know what compact convergence or lebesgue integrable means would recognize as intelligent" which can’t be modeled by universal approximators? Not just due to scaling.
I think you’re advocating avoiding the use of “intelligence” as a duck of your comment about intelligence and approximators just being wrong.