Yeah, Protein design is absurdly complicated and time consuming. Collaborative computing programs like folding at home have helped a lot but its still like trying to find a grain of sand in a desert. Having a well tuned AI help narrow down what needs additional attention via other computer models or even moving past computer models is a reasonable use of a well tuned specific AI. Not these general purpose LLMs that just tell you what you want to hear.

[–] PotatoPie@lemmy.zip -4 points 4 weeks ago (1 children)

I'm anti AI but i have to give it to the technology, for once, it's used for something good and for a task no one wanted to manually do, with incredible results

Until the sector is regulated i'll just say this never happened

[–] gedfromgont@piefed.ca 6 points 4 weeks ago (2 children)

Technically this probably isn't AI but rather ML (machine learning) which is something that made great strides in science already in the past decade or so. E.g. alphafold, a program to predict folding of protein sequences predates all LLM crap and has become a cornerstone of anything protein expression.

[–] wrinkle2409@lemmy.cafe 2 points 4 weeks ago

Machine learning is categorically part of AI. It is just that people started slopply using the term to mean exclusively LLMs and generative models. The problem has never been AI but rather who's using it