Open-Source vs Proprietary LLM Competition

Open and self-hosted systems are becoming more practical through efficient serving, conditional memory, calibrated distillation, compressed or quantized models, adaptive reasoning, and lower-cost multimodal inference. New work on MoME, Cal-OPD, and experimental decoding interfaces adds to the efficiency story, but claims about frontier quality, robustness, licensing, and deployment economics still need independent validation.