Research1d ago
Open And Closed Models Diverge In Growth
Closed-source models currently scale on a steeper intelligence curve than open-weights alternatives. Nathan Lambert argues that marginal gains in reasoning drive immense value for enterprise users. Open models struggle to bridge this gap without proprietary data. This divergence forces developers to choose between peak performance and local control.