Research1d ago
Open Source AI Faces Viability Crisis
A critical six-month window now determines if open-source AI can keep pace with closed systems. Nathan Lambert argues that the gap between proprietary and open models is widening. This pressure forces researchers to optimize training efficiency or risk obsolescence. Practitioners must decide if open weights still offer a competitive edge over managed APIs.