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Mathematics is about discovering and understanding the logical implications of assumed axioms under various inference rules.

Alternatively, some claim that mathematics is about understanding these implications.

Under the first definition, AI is already, and forevermore will be faster and better at proving theorems. Just like it is better at checkers, chess, and now go.

The author asserts that AI proofs are incomprehensible to humans, and so under the second definition AI is merely a tool to overcome one hurdle on the way to understanding.

So which is it? The author seems to claim the second definition, but bemoan the end of mathematics under the first.

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> Mathematics is about discovering and understanding the logical implications of assumed axioms under various inference rules.

That's like saying that programming is about producing valid programs in various programming languages.


It is though. I am not being edgy. Programming is about making valid programs, yes. I literally have no idea what else you might be gesturing towards.

Dont confuse mathematics with the formal system. If you beleive mathematics = formal system then AI is obviously better at it, and we dont need humans.

But then who decides why a statement is mor important than another? In the eyes of a formal systems all statements are born equal.


I didn't know some statements in math are more important than others?!

Some are more useful, and that is something you can quantitatively ask.


How can you quantitatively evaluate that? By how many times it is used in the literature? That can be gamed and there is an inherent bias on that



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