Research2d ago
Open And Closed Models Diverge In Scaling
Closed-source models currently scale intelligence faster than open-weights alternatives. Nathan Lambert argues that marginal gains in reasoning drive massive value for frontier labs, while open models prioritize accessibility. This gap creates a tiered ecosystem. Practitioners must decide if bleeding-edge capability outweighs the control and privacy of local deployment.