All of the examples you gave (which I agree with, btw!), are generative AI, whereas I assume radiology would benefit more from the Machine Learning (ML), image in -> black-box ML decides whether it matches pattern -> verdict out, type of AI.

I suppose first of all, is that generally agreed? People aren't expecting a LLM to give a radiology opinion, the same as way that you can feed in a PDF or an image into ChatGPT and ask it something about it, are they?

I'm interested whether most people here have a higher opinion of ML than of the generative AIs, in terms of giving a reliably useful output. Or do a lot of you think that these also just create so much checking it would be easier to just have a human do the original work?

I think it's probably worth excluding self-driving from my above question, since that is a particularly difficult area to agree anything on.