Subquadratic cracks AI math bottleneck with proof

Miami startup Subquadratic claims to have solved the quadratic scaling problem that makes AI models slow and power-hungry. Independent test results back the claim. The company's SubQ model uses dynamic sparse attention instead of dense attention, matching quality while being faster, cheaper, and reading up to 12 times more text at once.