MIAMI STARTUP SUBQUADRATIC CLAIMS 1,000X AI EFFICIENCY GAIN WITH SUBQ MODEL; RESEARCHERS DEMAND INDEPENDENT PROOF

Summary from the TLDR newsletter

Subquadratic claims its first model reduces attention compute by almost 1,000 times compared to other frontier models due to its fully subquadratic architecture, where compute grows linearly with context length.