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There's a big difference between learning to solve problems on your own and learning to look up existing solutions. If you want to unlock your potential, learn the former. If you want to unlock AI's potential, teach it the former. The goal is to memorize as little as possible
When I studied math and physics, I had big textbooks of practice problems. The tentation was always to jump to the solution section and memorize the method -- if you do it for enough problems, you should be able to pattern-match your way through any new problem, right? Wrong.
It's much more effective to labor your way through your own original solution, and only look at the official solution afterwards. If you don't it, you'll be completely unprepared to approach something actually new
The same is often true with research: try to reinvent first, look up the literature afterwards. If you want to be able to produce original thoughts, you need to create space for them to develop, instead of always filling up empty pockets of concept space with ready-made solutions
Isn't real-life learning always a mixture of multiple methods though? Watching someone do it, try to repeat it, look at the solutions occasionally when you get stuck, and so on?
Pattern matching gets you through any problem in short time frame. I used to pattern match but realised that I don't remember those concepts in long term. So better to figure out own solution.
The sad fact is that some "great" students go through school just honing those pattern-matching skills, because in our educational system that pays off. Then they hit real life discover they are not that good, and that they should have invested that energy in creativity instead.
I think that even to understand, one needs to memorize (learn as granted) a few solutions at least. Primitive representations, operations and facts are abstracted IN MEMORY from these. That is called understanding.
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