Open-source models will likely close the performance gap with proprietary systems by mid-2026. Nathan Lambert argues that synthetic data and distillation accelerate this convergence. This trend reduces the moat for closed-model providers. Practitioners should prioritize flexible, open architectures to avoid vendor lock-in as frontier capabilities become commoditized.