{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Minding Machines","title":"Teaching and Learning Mathematics with AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/4361fa66\"></iframe>","width":"100%","height":180,"duration":3011,"description":"Scott Corry, Patricia Hamar Boldt Professor of Liberal Studies and Professor of Mathematics, and Chair of the Department of Mathematics, Statistics, and Computer Science at Lawrence, joins the show to discuss whether AI is just the next calculator. We also discuss AI-generated counterexamples to long-standing conjectures, what creativity means in mathematics, and how Scott is rethinking his courses for the new term. He also makes the case for using AI to explore what you’re curious about, which sent him back to the library more than before.\nEpisode Resources\nScott's reading list on AI includes\nEthan Mollick, Co-intelligence: Living and Working with AI\nStephen Raaijmakers, Large Language Models \nDwarkesh Patel, The Scaling Era: An Oral History of AI, 2019-2025\nTom Griffiths, The Laws of Thought: The Quest for a Mathematical Theory of the Mind","thumbnail_url":"https://img.transistorcdn.com/EV-3NNJYdF3p5uQHQ4aZg0m0X_Pt4SI3yHVg65JNBIM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jNjU1/MTE1MzU0NTI3OWM3/MGU3MWU3NjFlODli/MDE5Zi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}