A critical six-month window now determines if open-source AI remains competitive. Nathan Lambert argues that current scaling trends threaten the viability of open models against closed giants. This pressure forces developers to innovate faster or risk obsolescence. Practitioners must now prioritize efficiency over raw scale to maintain a decentralized ecosystem.