Subquadratic claims sparse-attention model with 12M token context

Startup Subquadratic claims its sparse-attention model handles 12-million-token contexts significantly faster than current LLMs, but has not launched widely or published benchmarks. The approach challenges standard attention mechanisms but lacks independent validation.