Comment by andy12_
1 day ago
I think that any logic-based test that your average human can "fail" (aka, score below 50%) is not exactly testing for whether something is AGI or not. Though I suppose it depends on your definition of AGI (and whether all humans, or at least your average human, is considered AGI under that definition).
If I had a puzzle I really needed solved, then I would not ask a rando on the street, I would ask someone I know is really good at puzzles.
My point is: For AGI to be useful, it really should be able to perform at the top 10% or better level for as many professions as possible (ideally all of them).
An AI that can only perform at the average human level is useless unless it can be trained for the job like humans can.
> An AI that can only perform at the average human level is useless unless it can be trained for the job like humans can.
Yes, if you want skilled labour. But that's not at all what ARC-AGI attempts to test for: it's testing for general intelligence as possessed by anyone without a mental incapacity.
It seems they don't test for that, since they use the second-best human solution as a baseline.
And that's the right way to go. When computers were about to become superhuman at chess, few people cared that it could beat random people for many years prior to that. They cared when Kasparov was dethroned.
Remember, the point here is marketing as well as science. And the results speak for themselves. After all, you remember Deep Blue, and not the many runners-up that tried. The only reason you remember is because it beat Kasparov.
2 replies →
> Yes, if you want skilled labour. But that's not at all what ARC-AGI attempts to test for: it's testing for general intelligence as possessed by anyone without a mental incapacity.
Humans without a clinically recognized mental disability are generally capable of some kind of skilled labor. The "general" part of intelligence is independent of, but sufficient for, any such special application.