Miami-based Subquadratic claims to have solved a decade-old mathematical bottleneck hindering large language models. The startup recently emerged from stealth, initially offering few details to skeptics. It is now sharing evidence to validate these efficiency gains. If verified, this optimization reduces the computational overhead required for processing long sequences in LLMs.