[jackvalentine]

The compiler example is very helpful, thanks for posting it.

My follow up question is now “if junior doctors are exposed to AI through their training is doctor + AI still better overall?” e.g. do doctors need to train their ‘eye’ without using AI tools to benefit from them.

[benterix]

Yeah everybody compares traditional programming to using assembler now. This analogy would be great except that the current generation of LLMs is still quite unreliable and a large part of what it generates is a mess.

In a perfect world, there would be no problem - those of us who enjoy the experience would vibe-code whatever they need, and the rest of us would develop our skills the way we want. Unfortunately, there is a group of CXOs, such as the ones at Github, who know better and force the only right way down their employees throats.

[jackvalentine]

These radiography AIs aren’t LLMs AFAIK.

[joe_the_user]

Any of these neural networks is going to have the same basic qualities - lack of explainability and unreliability (even if they have many good qualities, are "fairly" reliable etc, they do fail and we don't exactly when/why they fail).

[frankc]

I think that is a good question and we don't really know yet. I think we are going to have to overhaul a lot of how we educate people. Even if all AI progress stops today, there is still a massive shift in how many professions operate that is incoming.

[jackvalentine]

> I think we are going to have to overhaul a lot of how we educate people.

I agree.

I work in healthcare and if you take a tech view of all the data there are a lot of really low hanging fruit to pick to make things more standardised and efficient. One example is extracting data from patient records for clinical registries.

We are trying to automate that as much as possible but I have the nagging sense that we’re now depriving junior doctors of the opportunity to look over hundreds of records about patients treated for X to find the data and ‘get a feel’ for it. Do we now have to make sure we’re explicitly teaching something since it’s not implicitly being done anymore? Or was it a valueless exercise.

The assumptions that we make about training on the job are all very chesterton’s fence really.

[benterix]

I think this is has already started a while ago with data science. While it might not be as fashionable as before, it's really at the core of many of these jobs where various form of machine learning or generative AI are being used.