Miami-based Subquadratic claims to have solved a decade-old mathematical bottleneck hindering large language models. While initial details were sparse, the startup is now sharing technical evidence to validate its assertions. If verified, this efficiency gain reduces the computational overhead of long-context processing. Developers can expect faster inference and lower costs for complex prompts.