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Explore The Problem With AI Solving Mathematics with 36,797 views, 323 likes, and 150 comments. Experience the impact of this video content that has captured audience attention.

Make videos like these with Kinetic: https://kineticvideo.app In October, OpenAI published 719 mathematical manuscripts in a single release, each claiming to resolve an open problem. Fewer than half had been formally verified, and the response from the mathematics community was swift. A group of more than 800 mathematicians called for a boycott. Around two dozen Fields Medalists signed a declaration criticizing AI companies. Terence Tao, one of the most respected mathematicians alive, warned that the field's long-standing systems are starting to fail. This video traces how we got here, from OpenAI's disproof of an Erdős conjecture in May to a claimed result on the Navier–Stokes equations, one of the million-dollar Millennium Prize Problems. Along the way, it looks at why a correct proof can still leave mathematicians dissatisfied, what a famous problem is worth beyond its answer, and why AI labs and working mathematicians measure success in such different ways. The dispute raises a question that reaches well beyond mathematics. If AI can produce answers to the hardest problems faster than humans can make sense of them, what happens to the people and institutions built around finding those answers? Support the channel by buying me a coffee! → https://buymeacoffee.com/betterway

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