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Social roles get created at the frontier of what isn't technologically feasible without a human, as culture develops around some form of human activity. Role A does B, role X does Y; I don't know, maybe its just time for new roles that didn't exist before.
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I usually hate analogies because they're imprecise.

But in this case, isn't use of llm / generative ai to tackle new frontiers just another instrument to be used to understand the universe?

An engineer picks up a telescope, and uses it to build new applied technologies, a scientist uses the data it produces to answer new mysteries.

No one's saying, "we have to be careful with the information the telescope produces".

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Well at the end of the day, the point of trying to understand the universe is to achieve specific goals leveraging that understanding.

It seems to me that all of these hundreds of proofs we've seen recently are glorified academic exercises, whose purpose is curiosity for its own sake without any practical application, or we'd already hear about at least one of them being implemented to some gain somewhere. It's all woefully unimpressive. It's not like anything stops mathematicians from trying to find more elegant solutions to their machine solved pet problems, since that's what they were going to try and do anyway despite it being completely pointless in practice.

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> Well at the end of the day, the point of trying to understand the universe is to achieve specific goals leveraging that understanding.

Nope.

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Maybe not for you, but voters arent giving taxpayer money to mathematicians for any reason other than hopefully leveraging the understanding mathematicians create to materially advance society. The people who are just interested in understanding can do it as a hobby
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"How and whether specific mathematics might lead to improving the world (whatever that means) is usually impossible to tease out, but mathematics collectively is extremely important."

(https://mathoverflow.net/questions/43690/whats-a-mathematici...)

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It can still be a good long term investment for society even if individual researchers are primarily motivated more by understanding than application. Arguably it’s the best approach we have because reliably predicting which ideas will be fruitful is super hard
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Actually both are outcome oriented and both can use AI to compress decades of progress. One camp accepts this naturally. Other camp is making their profession to be mysterious and spiritual to run away from the implications of AI
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Since when are code poets no longer a thing? /s
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