A critical six-month window now determines if open-source AI can remain competitive. Nathan Lambert argues that current scaling trends threaten the viability of open models against closed labs. This pressure forces developers to innovate faster or risk obsolescence. Practitioners must now decide if open weights can actually keep pace with proprietary frontier models.