Comment by somethingsome

10 hours ago

"leading them to suggest that LLMs will hit a wall in mathematical capability just beyond the convex hull of human mathematics."

This was to be expected, llms are trained on a very large corpus of data, they 'look' like creative from our point of view, as humans don't have that much knowledge, so, if the LLM proposes something that a human does not know, it looks like creative. But they stay neural networks after all, so very good in interpolation, very bad at extrapolation. Building new knowledge is extrapolation if it's truly outside the convex hull how the dataset.

I usually write code and ideas that are at the border of the convex hull, I haven't seen yet an llm being able to propose a really innovative solution. All the time they reuse building blocks that are already there. And I really tried pushing by making them creating proofs.

If I have an insight on some problem and I ask for the proof for it, it will usually be able to generate the proof, but that proof is never creative, and often it will use novel ideas only if I explain the novel idea. It will not come up with it alone. (And sometimes it's very hard to even explain the ideas, as it tends to return to knew waters)

Its only a data point, but I haven't seen a paper that handle this issue yet, and I don't expect them to magically become good at extrapolation due to the theory behind neural networks.

Coz these machines process representation of knowledge, they don't process knowlegde. That part hasn't been figured out by human yet.

EDIT: typo

You’re assuming that we’re doing more than combining ideas we already know when we’re being “creative”

  • Sorry if this sounds rough, computer science is probably only about combination, but there are many other fields

    • Sorry if this sounds rough, no.

      Saying that is like saying everything is about combination because well, it is even the creative stuff if you are pedantic.

      The wibbily wobbly dna of humans is how we keep recombining things into new shit. Comp sci absolutely has deep creativity in it.

      1 reply →

  • At least in arts, there is a true "creative" element complicated to replicate at least in the current LLMs. True artistic invention involves a "spirit of rule-breaking" that pushes culture forward. If AI is only being trained on past data, it then struggles to make the non-linear, revolutionary creative jumps we've seen throughout history.

    For instance, the transition of music from the 1950s to the Beatles, then to Nirvana, hip-hop, and beyond. Before Beatles, there wasn't such thing as Beatles. Before Nirvana, there wasn't anything that sounded like that. Of course you can point out underground bands doing something like that around that era, but stray way back in time to like 1940s and chances of hearing something like Nirvana are near zero.

    True art is not easy to make. It is, rather, difficult. If you lower the difficulty to make art, then it is not already a piece of art. It is just another product down the line of plenty of copy cats. Art involves risk taking that AIs I don't think are capable of producing. Art is a medium to express human emotions, and the inherent concept here is that it will end up being consumed by another human being, and it has value because you know that another human being was on the other side of the table making it. Even if you do something you consider art for yourself with an AI, the human being on the other side was, well... you. You prompted it and you guided it. I don't believe people in general would be contempt with an endless stream of autonomous AI generated stuff (if they invent such loop) because it would not only be generic, repetitive and predictable at some point, but also the fact that you know its AI it destroys the whole vibe. Same as if you get an email and you don't know if it was an AI or human behind it. If it was a human being, great, you feel a connection there. If it was AI, well... that sucks to no end, and I guess that is for a very good reason.

    Although I'm using art here as the argument for creativity, I believe there may be something analogous to scientific leaps and discoveries. To my understanding, people who seem to be fairly successful in uncover the truths of the universe via science also happen to be pretty good when it comes to some artistic endeavors, even if its only about consuming and appreciating art and not necessarily creating it. So, there might be some link in creativity there. I'm open to be wrong, of course. Creativity is about risk taking and pushing the edges, not re-iterating upon what's been already there.