Research2d ago
Open And Closed Models Diverge In Growth
Marginal intelligence gains drive disproportionate value for closed models while open-source progress follows a different trajectory. Nathan Lambert argues that the scaling laws for proprietary systems create a widening gap in high-end capabilities. This divergence forces developers to choose between peak performance and transparency. Practitioners must now weigh raw power against accessibility.