I just discovered the ARC-AGI initiative and the associated test to estimate how close "AI" models are from #AGI
While I found the initiative interesting, I'm not sure I understand what in this test really guarantees that the model is capable of some form of generalization and problem-solving.
Wouldn't it be possible for specialized pattern-matching/discovering algorithms to solve such problems?
I imagine some computer scientists, mathematicians or computational neuroscientists have already had a look at this, so would anyone knows of some articles/blogs on the topic?
Maybe @wim_v12e? Is this something you already looked at?
