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> > models better at writing clean proofs and explaining what they're doing to humans. That's the end of it.

> The assumption here is that the true/false of the theorem is the important outcome

You're replying to a comment about "clean proofs" and explaining to humans. You talk about true/false anyway. Re-read please.



Are you always an ass? He had a great comment, and you respond with this low effort hostile bullshit.


No, I see this argument repeated all the time in these threads. "It will just give true/false, while humans need intuitive explanations". Why will the AI only give true/false? Where did this assumption come from? The nested citation was about AI that can give humans an explanation. The reply was "but true/false is not enough". It is as if it was a reply to another comment. How is that a great comment?




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