dailyai.report

Miami startup Subquadratic claims to have solved a decade-old mathematical bottleneck hindering large language models. The company recently exited stealth mode to share evidence supporting its efficiency gains. While initial reactions were skeptical, the firm is now releasing technical data. This development targets the fundamental scaling limits currently facing LLM architectures.