Author criticizes AI models misusing open source labels

The author argues that AI companies frequently mislabel models as open source when they only provide open weights and restrict commercial use or data access. While the open source community and platforms have largely accepted this loose framing, strict adherence to traditional definitions could exclude models trained on private or culturally protected data. The author concludes that developers should carefully read individual licenses rather than relying on the open-source label. Open article →