59,048 views | 00:59:28
Has a machine just solved one of the most famous open problems in mathematics? Brian Greene speaks with Tristan Buckmaster, professor of mathematics at NYU's Courant Institute, about the Navier-Stokes equations, the Clay Institute's million dollar Millennium Prize, and the role artificial intelligence played in the progress toward an answer. Buckmaster explains what the Euler and Navier-Stokes equations describe and why mathematicians have long asked whether their solutions can reach infinite velocity, a result that would mean the equations break down as a model of the physical world. He traces the path from early computer-assisted proofs through his own collaboration with Google DeepMind, and describes proofs produced by AI that he calls the worst mathematics he has ever seen while confirming they were correct. Brian presses him on what it means to hold a proof that no human can read, and whether AI systems are beginning to develop a language of their own. Buckmaster closes on what all of this means for the future of mathematics, for students entering the field, and for the questions in fluid dynamics that remain wide open, including why nobody can yet explain lift from first principles. This program is part of the Rethinking Reality series, supported by the John Templeton Foundation. Learn More
TOPICS:
TAGS:
PLAYLISTS: Big Ideas
Video Duration: 01:29:59
Original Program Date: Friday, October 2, 2026
Has a machine just solved one of the most famous open problems in mathematics? Brian Greene speaks with Tristan Buckmaster, professor of mathematics at NYU's Courant Institute, about the Navier-Stokes equations, the Clay Institute's million dollar Millennium Prize, and the role artificial intelligence played in the progress toward an answer. Buckmaster explains what the Euler and Navier-Stokes equations describe and why mathematicians have long asked whether their solutions can reach infinite velocity, a result that would mean the equations break down as a model of the physical world. He traces the path from early computer-assisted proofs through his own collaboration with Google DeepMind, and describes proofs produced by AI that he calls the worst mathematics he has ever seen while confirming they were correct. Brian presses him on what it means to hold a proof that no human can read, and whether AI systems are beginning to develop a language of their own. Buckmaster closes on what all of this means for the future of mathematics, for students entering the field, and for the questions in fluid dynamics that remain wide open, including why nobody can yet explain lift from first principles. This program is part of the Rethinking Reality series, supported by the John Templeton Foundation. Learn More
TOPICS: Art & Science, Biology & Origins of Life, Earth & Environment, Mind & Brain, Physics & Math, Science in Society, Science Unplugged, Space & The Cosmos, Technology & Engineering, Your Daily Equation, Youth & Education
TAGS:
PLAYLISTS: Big Ideas
Video Duration: 01:29:59
Original Program Date: Friday, October 2, 2026
© 2008-2026 World Science Foundation. All Rights Reserved.
World Science Festival ® and its related logo are registered trademarks of the World Science Foundation. All Rights Reserved.
