Two of the things I like about the scientific community is the lectures/conference and the sharing of ideas through papers. I’m nowhere near that level and have to wait for those ideas to trickle down into textbooks. So maybe I’m learning stuff that have been discovered decades ago, but it’s still useful on a daily basis.

> The result may be impressive, but if the only beings that can move math forward in future are machines grinding away on billions of scenarios that no human would have the patience to undertake

Seems like the same thing as neural networks. You have something like a few thousand parameters for computer that works well, but no underlying algorithms and formulas, like the shaders.