The ARC-AGI-3 scorecard is extremely misleading given that it clearly states itself that "with [the responses API] harness, we estimate Sol would score in the ballpark of ~30%." but it shows a score of 7.8% for GPT-5.6 Sol presumably since if they updated the percentage for GPT-5.6 Sol to the score it would receive with the responses API harness they used for GPT-6 Astra they'd have to do the same for the percentage…
But I think it has the correct idea of going from basic upwards instead of the opposite trend of trying to see intelligence in LLMs solving things few if any humans can fully understand themselves, like complex proofs in esoteric mathematics. Instead, consider that at one point in humanity's history math itself simply did not exist in any meaningful fashion, and we created/discovered it out of nothing. For more basic than said complex proofs, yet far more demonstrative of a sort of generalized intelligence.
But even if we don't want to go that way, I think the above leads to a reasonable prediction. If we ever reach AGI we should expect to see revolutionary leaps in essentially every domain imaginable. No human is capable of retaining more than a completely negligible chunk of all we know in our mind. A human of reasonable intelligence paired with omniscience (at least of what has been discovered by humans thus far) would almost certainly lead to the ability to connect multiple dots that we're missing all in very short order, which in turn would likely recurse upon itself to connect even more.
The only way I can see that this would not be the case is if we lack the data/knowledge to produce more breakthroughs at the current point in time, but I think that seems improbable to the point that this possibility can be near discarded.