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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
Where does building your solution on top of the work that others have done fit here?
It is called standing on the shoulders of Giants .
We first learn to speak And after years, we extract the rules of grammar from it
Rising performance on bigger more general test sets with smaller less general training data will be indicative of increasing intelligence. The opposite of this is what we currently see.
I agree, but the time required to labor one's way through an original solution is oftentimes not available. Be it college or workplace, using existing solutions to build something new is often encouraged over reinventing the wheel.
There are more code pushers these days who simply take advantage of the abstraction and ease of use of models and platforms but very few understand the math behind the models and how to tweak them to fit use cases or improve on them.
That being said reinventing the wheel under time constraints is not feasible. The real breakthroughs and advancements will happen when people stop brute forcing like they do in kaggle. Throw everything and see what sticks. Rather focus and aim properly with the right projectile
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