Carlos A. Taveras

Math and AI

The rapid development of AI and its mathematical capabilities has forced the math community to grapple with many of its long-held traditions and tenets, both the practical and philosophical level. During this unpredictable transitionary period, many in the community have shared their views on the past, present, and future of math. Notably, the perspectives and predictions have been quite varied.

I thought it might be useful, then, to compile a list of these responses, both to (hopefully) help early-career academics get a sense for what’s ahead and to document this evolution as it happens. I’m hoping to update this list periodically with new videos and blog posts. If you have any suggestions on things to include in this list, don’t hesitate to reach out!

Blogposts

Coming Soon…

Videos

Mathematics and Mathematicians in the Age of AI

  1. Akshay Venkatesh: (Re)imagining Mathematics in a World of Reasoning Machines
  2. Akshay Venkatesh: What do we tell our students about AI?
  3. Prathosh A.P.: Pedagogy in the Times of AI
  4. Trefor Bazett: Is Math Research Over?
  5. Jared Duker Litchman: Formalization and the Future of Mathematics
  6. Leonardo de Moura and Ryan Peterman: Handwritten Math Will Change Dramatically
  7. Terence Tao and Tanya Klowden: Mathematical Methods and Human Thought in the Age of AI
  8. Alex Kontorovich: The Shape of Math to Come
  9. Tristan Buckmaster: Mathematics in the age of AI
  10. Stephen Wolfram: What’s the Future for Pure Math Research in the Age of AI?
  11. Tristan Buckmaster: A Deep Blue-Kasparov moment for mathematics
  12. Daniel Litt: What’s Left for Mathematicians?
  13. Martin Hairer: Navier Stokes, AI, and the Future of Mathematics (Tom Rocks Maths)
  14. Ettore Aldrovandi, Alex Kontorovich, Javier Gómez-Serrano, Tony Feng, Jeremy Avigad, Rachel Ward, Martin Bauer: Mathematics at a Turning Point: AI, Research, and the Next Generation
  15. Tony Feng, Michael Harris, Peter Scholze, Jacob Tsimerman, Geordie Williamson: Panel Discussion - AI in Mathematical Research
  16. Manjul Bhargava, Alex Kontorovich, Ankur Moitra, and Stephen Wolfram: When AI Solves Major Open Problems: What Does It Mean for the Future of Mathematics—and Beyond?
  17. Akshay Venkatesh, Ravi Vakil, and Alex Kontorovich: What is Math for in the Age of AI (Quanta Magazine Podcast)
  18. Ankur Moitra, Steven Brunton, and Alex Kontorovich: AI Crisis in Math - Navier-Stokes, Riemann Hypothesis and Complexity Theory (Lex Fridman)
  19. Mohammed Abouzaid: How to get Scooped by AI
  20. Francis Charton: An AI Perspective on AI for Maths
  21. Terence Tao: Can AI Prove it? “Big Math” and Our Theoretical Future
  22. Jacob Tsimerman and David Duvenaud: Mathematics, AI, and What Comes Next
  23. Scott Aronson: The Mathocalypse, Will Intelligence Matter Anymore
  24. Tristan Buckmaster and Brian Greene: AI just changed mathematics forever
  25. Terence Tao: Mathematics in the Age of AI
  26. Geordie Williamson: AI and Humanity’s Long Conversation
  27. ICM 2026 Panel - AI for Mathematics
  28. Tony Feng: The Rise and Ramifications of Artificial Intelligence
  29. Grant Sanderson (3Blue1Brown): There’s never been a better time to go into math
  30. Grant Sanderson (3Blue1Brown): The Role of Exposition in the Future of Mathematics
  31. Steven Strogatz and Grant Sanderson (3Blue1Brown): On the Humanity of Math
  32. Terence Tao: No More Heroes
  33. Tristan Buckmaster: Navier-Stokes

On the Future of Math Education

  1. ICM 2026 Roundtable: Mathematics Education in the Advent of the AI Era
  2. ICM 2026 Panel - AI in College Math Education

Alvaro Lozano-Robledo’s “Human Mathematicians in the Age of AI” Interview Series

  1. Series Intro
  2. Francesco Fournier-Facio
  3. Jeremy Teitelbaum
  4. Bartosz Naskrecki
  5. Emily Riehl
  6. Daniel Litt
  7. Alexey Pozdnyakov
  8. Abbey Bourdon
  9. Lauren Williams

The Foundation for Science and AI Research (SAIR)

  1. Yu Deng: Mathematicians in the time of AI
  2. Terence Tao and Yu Deng: Why We Build Open Math Model
  3. Terence Tao: SAIR’s Open Math Model Initiative

Using AI for Math Research

  1. Erik Demaine: More Math, Less Ego (talk about AI and Math)
  2. Daniel Litt: Working with LLMs to do high quality math

On AI Safety

  1. Jacob Tsimerman: How mathematicians can contribute to AI safety research

On Recent Results

  1. Alvaro Lozano-Robledo: What is the Quasi-Riemann Hypothesis
  2. Timothy Gowers: What AI did during my summer holidays

Some Candid Reactions From the Community

  1. Another Roof: We are losing the SOUL of Maths
  2. Sheafification of G: I’ve Never Been a fan of these calculators…
  3. Sophie MacLean: I Am Sad About AI in Maths
  4. Life after PhD: Math in the age of AI and followup
  5. Sophie MacLean: I Am Sad About AI in Maths
  6. Giordano Scarciotti: You Truly Don’t Understand What Just Happened to Mathematics
  7. Hugo Duminil-Copin: The Strip Mining of Mathematical Proofs