
Last month AI found something mathematicians had missed for decades. Reasoning researchers Alexander Wei, Hongxun Wu, and Lijie Chen join the podcast to discuss how a general-purpose model helped disprove an 80-year-old conjecture from famed mathematician Paul Erdős. They walk through the moment the result started looking real, what it took to verify the proof, and what’s happened since sharing the discovery with the world. They also explore what this means for the future of math and for researchers learning to work with AI.Chapters0:44 AI and the International Math Olympiad and International Olympiad of Informatics6:35 An OpenAI model disproves the Erdős unit distance conjecture8:33 Running the model and checking the proof11:04 Why general models matter for discovery15:55 Creativity, tools, and how the proof worked18:25 Why AI should feel empowering for mathematicians22:31 Advice for researchers using AI27:24 What comes next for math and AI research37:30 Cryptography, quantum computing, and the future Hosted on Acast. See acast.com/privacy for more information.
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Episode 19 - Inside image generation’s Renaissance moment

Episode 18 - Why AI needs a new kind of supercomputer network

Episode 17 - What happens now that AI is good at math?

Episode 16 - Building AI for Life Sciences
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