Open-Weight vs Proprietary AI: Performance and Adoption
Open models aren't just the "free alternative" anymore. For a long time, the assumption was that you'd prototype with something open and then migrate to a closed API once you actually needed reliability for production. The data is starting to show the opposite. Companies are building their entire engines on open weights from day one. It's not just about cost. We're seeing a shift toward actual sovereignty. A Swiss public consortium just released the weights, training code, and data for a national model trained on their own supercomputers. Then you have a Māori broadcaster in New Zealand training speech models for te reo. That language is too small for a Silicon Valley giant to care about, so they're doing it themselves under a license that ensures the data stays with the people. Mozilla is pushing in this direction too. It's a bit chaotic, and the tooling still feels like it's held together with duct tape in some places, but the momentum i...