Startup claims 1,000x AI efficiency leap with linear-scaling model
A Miami-based startup introduced a large language model that processes long contexts 1,000 times faster than today’s leading systems. The claim hinges on a linear scaling architecture that replaces quadratic attention, but independent validation remains pending.