A New Dawn For Mathematical Progress
from Aarva Hosted by Atoosa Kasirzadeh
If a machine can solve the hardest math problems, what is a mathematician actually for? When a machine recently solved another Millennium Prize math problem, researchers started openly wondering if their profession was finished. Writing on 29 October 2026, philosopher and DeepMind scientist Atoosa Kasirzadeh suggests this panic comes from a remarkably narrow view of the field. The fear of obsolescence assumes math is just a checklist of abstract puzzles waiting for a lone genius to crack them. Kasirzadeh points toward a different history of the discipline, imagining a future where machines handle the pure calculation, leaving humans to figure out which real-world problems actually need solving. An argument for redefining mathematical progress beyond a checklist of famous problems. Contrasts this traditional approach with a generative model, where mathematicians invent new fields to solve practical challenges. Outlines how the discipline can adopt this open-ended method, using artificial intelligence as a tool to secure digital infrastructure and understand neural networks. Read at source: Noema For more features and details, visit aarva.app
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