I reject this terminology; I think #2 is superintelligence and #1 is a different dimension.
Also, I would actually differentiate two kinds of #1. There’s how much stuff the AI can reason about, which is generality (you can have a “narrow superintelligence” like a chess engine), and there’s how much it knows, which is knowledge base/resource access. But I wouldn’t call either of them (super)intelligence.
How would you call #1 then? It is certainly possible to achieve super-human results using just it. E.g. there were examples of problems in history that were unsolved because they required knowledge of some completely different area, but no human can have PhD-level knowledge of Chemistry, Biology, Math AND looking at exactly this one problem requiring inputs from all three.
This isn’t a problem for the AI though—it may not be the best in each of the area, but if it has at least student-level knowledge in a hundred different topics it can already achieve a lot just by effectively combining them.
I reject this terminology; I think #2 is superintelligence and #1 is a different dimension.
Also, I would actually differentiate two kinds of #1. There’s how much stuff the AI can reason about, which is generality (you can have a “narrow superintelligence” like a chess engine), and there’s how much it knows, which is knowledge base/resource access. But I wouldn’t call either of them (super)intelligence.
How would you call #1 then? It is certainly possible to achieve super-human results using just it. E.g. there were examples of problems in history that were unsolved because they required knowledge of some completely different area, but no human can have PhD-level knowledge of Chemistry, Biology, Math AND looking at exactly this one problem requiring inputs from all three.
This isn’t a problem for the AI though—it may not be the best in each of the area, but if it has at least student-level knowledge in a hundred different topics it can already achieve a lot just by effectively combining them.