The viability of open-source AI faces its most serious test to date. Nathan Lambert argues that the window for open models to remain competitive is shrinking rapidly. This pressure forces developers to innovate faster or risk obsolescence. Practitioners must now decide if open weights can actually keep pace with closed-source giants.