Sign inGet started
Paper · arXiv

What is mathematics now, and what should it be?

Advances in neural theorem provers have been impressive, but the successes obscure a broader vision of what AI can do for mathematics and how mathematicians can engage with AI. This essay advances a more expansive and optimistic point of view.

AuthorsJeremy Avigad
Primary categorycs.AI
Published24 August 2026
Last updated at source24 August 2026
cs.AImath.HO
Embed this entry
<iframe src="https://silytics.si/embed/item/c7717978-0195-43c3-890a-b2b2b3534a2f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.