The AI takeover of mathematics has begun
OpenAI's new AI model, Astra, has successfully solved several long-standing mathematical problems, sparking both excitement and concern within the academic community. Mathematicians are now grappling with the implications of AI's ability to accelerate discovery in a field traditionally driven by human intuition.
Why it matters
This development marks a potential paradigm shift in scientific research, where AI could fundamentally change how complex theoretical problems are approached and solved.
Mathematician James Maynard has spent a lot of time this past year “soul searching.” A professor at the University of Oxford and winner of the prestigious Fields Medal, Maynard told The Verge he’s been grappling with the future of his field as the traditionally slow-moving discipline hurries to adapt to AI.
Days before we spoke, OpenAI revealed it had produced the solutions to 10 long-standing mathematics problems, some of which had confounded academics for decades. Like generative AI used to produce text and images or propose ideas in science and medicine, the technology learns patterns and connections from the vast amount of material it’s trained on and uses them to create something new. Applied to mathematics, that can mean combining known results, methods, and tools in new ways to attack a problem, sometimes drawing links between disparate fields or resurfacing concepts buried in academic literature.
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