Research1d ago
Open And Closed Models Diverge In Scaling
Marginal intelligence gains now drive disparate value for open and closed models. Nathan Lambert argues that closed-source leaders prioritize raw capability peaks, while open-source projects optimize for efficiency and accessibility. This divergence creates two distinct scaling curves. Practitioners must choose between bleeding-edge performance and the flexibility of local, fine-tuned deployments.