Articles from Subquadratic

Subquadratic, a foundational model company focused on improving AI scaling laws, announced today the launch of SubQ Snap, a multimodal decision model built for fast, long-context decisions in enterprise agentic workflows. Powered by Subquadratic Sparse Attention, it has constant compute cost per token, while models like Jev or Claude have quadratically exploding compute costs and inverse economics of scale. This enables it to reason over substantially more of an artifact without giving up the speed and efficiency that make decision models useful.