[xyz100]

If you want to be literal with language, then do you ever really “solve” anything? Even tying your shoes is not solved. One day you may tie them better, but for practical purposes we can say it is solved.

Likewise, you can spend 55 hours of GPU time to produce very different things. Can those 55 hours cure cancer? Definitely not. Can it pick up correlations with a small subset of proteins that are perhaps not representative of practical problems? Probably. Can it learn a pattern to tie your shoes, given all your life experiences tying them? Sure.

I asked the question to determine what is the impact of the task and dataset. Curing cancer is huge, tying shoes is not. What are the strengths and limitations?

[CyberDildonics]

If you want to be literal with language, then do you ever really “solve” anything?

You are the one who said it and you can't even explain what you meant, you just get mad that anyone would ask.