In this episode of the fAQ Podcast, host Tai-Danae Bradley sits down with Daniel Litt, an assistant professor of mathematics at the University of Toronto, to discuss the rapidly evolving intersection of AI and mathematics. Bypassing the public speculation and social media hype, this conversation provides a practical look at some ways large language models are actively being used in high-level mathematical research. Daniel shares his daily workflow, detailing his transition from testing early AI models in a Dungeons and Dragons game to currently utilizing advanced tools for literature search, "vibe coding," and finding counterexamples. The discussion also covers the new challenge of "proof abundance," practical tips for prompting AI effectively, and how these powerful tools might force a necessary restructuring of mathematical education and the academic publishing system.
This podcast is hosted by Tai-Danae Bradley and features the stories of amazing people working in science and technology at SandboxAQ and beyond. All curious humans are invited to join!
Podden och tillhörande omslagsbild på den här sidan tillhör
Tai-Danae Bradley. Innehållet i podden är skapat av Tai-Danae Bradley och inte av,
eller tillsammans med, Poddtoppen.
