Narrow models trained on a task specific data set tend to be very good at their specialization. So protien folding, or material sciences have benefitted from machine learning, but we shouldn't mistake that for being the same thing as chatGPT.

One of the bigger problems we have with AI at the moment (in my very inexpert opionion) is that they seem to be trying to throw LLMs at every problem and swearing that it'll achieve AGI soon.

Meanwhile Alpha Fold is more closely related to stable diffusion than it is to ChatGPT.