Research9h ago
Predictions For Open Model Progress By 2026
Nathan Lambert predicts the gap between open and closed models will narrow by mid-2026. He argues that synthetic data and refined distillation techniques will allow open-source weights to match proprietary performance. This shift reduces reliance on closed APIs. Practitioners should prepare for high-tier capabilities to move into local, private deployments.