Maybe not replace, but some flavour of AI is already pretty good at analyzing patterns on x-ray images and stuff like that which might be significant help to doctors in the future. Obviously not the glorified autocorrect Altman is running with hype-money, but actually useful neural network things (or whatever they really are, I’m not one building them).
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.
Maybe not replace, but some flavour of AI is already pretty good at analyzing patterns on x-ray images and stuff like that which might be significant help to doctors in the future. Obviously not the glorified autocorrect Altman is running with hype-money, but actually useful neural network things (or whatever they really are, I’m not one building them).
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.