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Comment Re:Writing (Score 1) 159

That is also what I hear from people that have tried it. For example, funding applications for research: 10% hard content, 90% crap. The 90% can be supplied by AI because they are never read anyways, just checked that they are there. And LLMs can do "better crap" nicely. But for the 10%, no chance to have an LLM do it successfully at all.

Comment Re:#2 least affected (Score 1) 159

Simple: All of those that can reasonably be automatized, have been so already, because AI is neither needed nor a good idea. The ones left are the ones where automating it does not work for some reason. This can be because they are special, or need a lot of maintenance or AI hallucinating even once would be a major disaster and conventional automation does not cut it.

Comment Re:Translators and interpreters? Writers and autho (Score 1) 159

And then the good translators come back. That will happen for a lot of the specialties that "AI" is supposed to replace.

I can see all those "business-something teachers" vanishing though. I did ask ChatGPT for some slides for my IT Security lectures and all my students and me would get out of those is a good laugh. Had an eerie resemblance to some business teaching slides I have seen though. Facts, no explanations, no systematic, no support for understanding, just raw knowledge to remember. And too simplistic and sometimes outright wrong. Useless for STEM.

Comment Re:Historians are not impacted by AI (Score 1) 159

They are impacted by politics not AI. Specifically historians have this really really bad habit of bringing up inconvenient truths.

Indeed. Good historians are these people that tell society not to make the same fucking stupid mistakes time and again. Say, like putting authoritarians or criminals in power.

Comment Re: Mathematicians? (Score 1) 159

Mathematicians really understand what some math tool does and does not do and hence can apply it competently. They are basically the only people that can do that and AI/LLMs are not even in the run for that. In limited areas theoretical non-math STEM people can compete, but they are typically even more expensive and hard to get.

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