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Here is how to understand OpenAI’s major mathematical breakthrough

Since OpenAI announced its solution to one of the prestigious Millennium Prize Problems, mathematicians have been urgently trying to unpick what it means

Here is how to understand OpenAI’s major mathematical breakthrough

OpenAI has resolved a longstanding mathematical puzzle by demonstrating that the Navier-Stokes equations, which describe fluid behavior, can indeed "blow up" and become infinite in certain situations. This breakthrough, achieved through the work of over 10,000 AI agents working together, solves one of the Millennium Prize Problems in mathematics.

The Navier-Stokes equations, first formulated 200 years ago, have been crucial in advancing technology from aircraft design to medical devices. However, understanding when these equations break down has been a major challenge, earning a $1 million reward for solving the related question of blow-ups. OpenAI's AI agents used a method similar to previous work by Luis Martínez-Zoroa and Diego Córdoba, who developed a technique to create blow-ups for both Euler and Navier-Stokes equations.

Their key idea was to divide the fluid into thin layers and analyze each layer's contribution to a potential blow-up. OpenAI's approach was distinct, creating a specific spinning whirlpool that intensifies before the fluid becomes infinitely fast, all within a finite amount of time and force. This discovery is expected to have significant implications for fluid dynamics, with researchers excited about the potential for improved models of fluid flow.

While the equations still remain useful for modeling many fluids, the blow-up phenomenon marks a limitation in their predictive power at very small scales. Despite concerns about the lack of detailed explanations from AI proofs, mathematicians remain optimistic about the future of mathematical understanding in the age of advanced AI.

Written by urgent.news from New Scientist's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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