A critical six-month window now determines if open-source AI can keep pace with proprietary systems. Nathan Lambert argues that the gap between closed and open models is widening. This pressure tests whether community-driven research can sustain competitive performance. Practitioners must now decide if open weights remain a viable alternative to API-locked models.