In this episode of Science Quickly, Kendra Pierre-Louis and SciAm reporter Joe Howlett explore a new math challenge designed to test whether today’s AI models can truly tackle cutting‑edge proofs. They break down how the experiment works, what early results say about AI’s mathematical abilities and why researchers are still debating whether these tools are revolutionizing math or just offering a high‑powered assist.

Recommended Reading:
<a href="https://www.scientificamerican.com/article/as-ai-keeps-improving-mathematicians-struggle-to-foretell-their-own-future/">As AI keeps improving, mathematicians struggle to foretell their own future</a>
<a href="https://www.scientificamerican.com/article/first-proof-is-ais-toughest-math-test-yet-the-results-are-mixed/">AI just got its toughest math test yet. The results are mixed</a>
<a href="https://www.scientificamerican.com/article/ai-uncovers-solutions-to-erdos-problems-moving-closer-to-transforming-math/">Is AI on the precipice of revolutionizing math? It depends</a>

E-mail us at <a href="mailto:sciencequickly@sciam.com">sciencequickly@sciam.com</a> if you have any questions, comments or ideas for stories we should cover!
Discover something new every day: <a href="https://www.scientificamerican.com/getsciam/?utm_source=promotion&utm_medium=podcast&utm_campaign=may24-marketing2024_subscribetext&utm_term=LP_subscribe_v1_s1_podcast">subscribe</a> to Scientific American and <a href="https://www.scientificamerican.com/account/email-preferences/?utm_source=promotion&utm_medium=podcast&utm_campaign=may24-marketing2024_signuptext&utm_term=LP_signup_v1_s1_podcast">sign up</a> for Today in Science, our daily newsletter.

Science Quickly is produced by Kendra Pierre-Louis, Fonda Mwangi, Sushmita Pathak and Jeff DelViscio. This episode was edited by Alex Sugiura, with fact-checking by Shayna Posses and Aaron Shattuck. Our theme music was composed by Dominic Smith. Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a>

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