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My favourite moments of being a graduate student in math was showing my friends (and sometimes professors) proofs of propositions and theorems that we discussed together. To be the first to put together a coherent piece of reasoning that would convince them of the truth was immensely exciting. Those were great bonding moments amongst colleagues. The very fact that we needed each other to figure out the basics of the subject was part of what made the journey so great.

Now, all of that will be done by AI.

Reminds of the time when I finally enabled invincibility in Goldeneye 007. Rather boring.

I think we've stopped to appreciate the human struggle and experience and have placed all the value on the end product, and that's we're developing AI so much.

Yeah, there is the possibility of working with an AI but at that point, what is the point? Seems rather pointless to me in an art like mathematics.



> Now, all of that will be done by AI.

No "AI" of any description is doing novel proofs at the moment. Not o3, or anything else.

LLMs are good for chatting about basic intuition with, up to and including complex subjects, if and only if there are publically available data on the topic which have been fed to the LLM during its training. They're good at doing summaries and overviews of specific things (if you push them around and insist they don't waffle and ignore garbage carefully and keep your critical thinking hat on, etc etc).

It's like having a magnifying glass that focuses in on the small little maths question you might have, without you having to sift through ten blogs or videos or whatever.

That's hardly going to replace graduate students doing proofs with professors, though, at least not with the methods being employed thus far!


I am talking about in 20-30 years.




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