A critical six-month window now determines if open-source AI remains competitive against closed systems. Nathan Lambert argues that current development trajectories challenge the long-term sustainability of open models. This pressure forces researchers to innovate faster or risk obsolescence. Practitioners must now decide if open weights can actually keep pace with proprietary scaling laws.