dailyai.report

Researcher Nathan Lambert predicts the gap between open and closed models will narrow by mid-2026. He argues that synthetic data and distillation will accelerate open-source parity. This trend reduces the moat for proprietary labs. Practitioners should prioritize flexible, open architectures over locked ecosystems to maintain long-term control over their deployment stacks.