ARC-AGI-v1 was fairly simple static visual problems. ARC-AGI-v3 involves playing a simple set of video games. So it’s more like the former skills were a prerequisite for latter challenges to even make sense.
I do feel like we’ve seen a lot of broadening of intelligence, though: they can write poetry, cold read humans, operate a desktop computer using a mouse, solve long-standing math problems, etc. all without too much explicit training.
They don’t learn to solve “ARC-AGI-v1” puzzles, they learn to solve “the entire category that problem represents” and I’d personally lean towards there only being a few dozen such categories.
If we saw narrower learning, where “writing” didn’t include poetry, or “art” couldn’t mimic specific styles, I’d agree with a thousand islands. Although I won’t be surprised if we do see a few islands outside the major continents of learning.
ARC-AGI-v1 was fairly simple static visual problems. ARC-AGI-v3 involves playing a simple set of video games. So it’s more like the former skills were a prerequisite for latter challenges to even make sense.
I do feel like we’ve seen a lot of broadening of intelligence, though: they can write poetry, cold read humans, operate a desktop computer using a mouse, solve long-standing math problems, etc. all without too much explicit training.
They don’t learn to solve “ARC-AGI-v1” puzzles, they learn to solve “the entire category that problem represents” and I’d personally lean towards there only being a few dozen such categories.
If we saw narrower learning, where “writing” didn’t include poetry, or “art” couldn’t mimic specific styles, I’d agree with a thousand islands. Although I won’t be surprised if we do see a few islands outside the major continents of learning.