Computers already can outperform you in a wide variety of tasks.
Eagles, too: they can fly and I not. The question is whether the currently foreseeable computerizable tasks are closer to flying or to intelligence. Which in turn depends on how high and how “magic” we see intelligence.
As for Solomonoff induction… What do you think your brain is doing when you are thinking?
Ugh, using Aristotelean logic? So it is not random hypotheses but causality and logic based.
Solomonoff induction is so much thinking that it is incomputable.
I think using your terminology, thinking is not the searching, it is the findinging logical relationships so not a lot of space must be searched.
That’s not like “simple and brute-force”, because simple and brute-force algorithms are either impractically slow, or incomputable at all.
OK, that makes sense. Perhaps we can agree that logic and casuality and actual reasoning is all about narrowing the hypothesis space to search. This is intelligence, not the search.
I’m starting to suspect that we’re arguing on definitions. By search I mean the entire algorithm of finding the best hypothesis; both random hypothesis checking and Aristotelian logic (and any combination of these methods) fit. What do you mean?
Narrowing the hypothesis space is search. Once you narrowed the hypotheses space to a single point, you have found an answer.
As for eagles: if we build a drone that can fly as well as an eagle can, I’d say that the drone has an eagle-level flying ability; if a computer can solve all intellectual tasks that a human can solve, I’d say that the computer has a human-level intelligence.
Eagles, too: they can fly and I not. The question is whether the currently foreseeable computerizable tasks are closer to flying or to intelligence. Which in turn depends on how high and how “magic” we see intelligence.
Ugh, using Aristotelean logic? So it is not random hypotheses but causality and logic based.
I think using your terminology, thinking is not the searching, it is the findinging logical relationships so not a lot of space must be searched.
OK, that makes sense. Perhaps we can agree that logic and casuality and actual reasoning is all about narrowing the hypothesis space to search. This is intelligence, not the search.
I’m starting to suspect that we’re arguing on definitions. By search I mean the entire algorithm of finding the best hypothesis; both random hypothesis checking and Aristotelian logic (and any combination of these methods) fit. What do you mean?
Narrowing the hypothesis space is search. Once you narrowed the hypotheses space to a single point, you have found an answer.
As for eagles: if we build a drone that can fly as well as an eagle can, I’d say that the drone has an eagle-level flying ability; if a computer can solve all intellectual tasks that a human can solve, I’d say that the computer has a human-level intelligence.