Current developments present the most serious test to date for open source AI's long-term viability. Nathan Lambert argues that the gap between closed and open weights is widening. This pressure forces a reckoning over whether open models can keep pace. Practitioners must now weigh open flexibility against rapidly advancing proprietary performance.