[$] MOT: a tool to fight openwashing in AI

Many large language models (LLMs) are described as open source, but if one looks a bit deeper it turns out that is not actually so; the model may be free to download, it may be "open weight", but it does not fit the Open Source Initiative (OSI) Open Source Definition (OSD). Assessing the actual openness of models is not easy, as Arnaud Le Hors explained in his talk about the Model Openness Tool (MOT) at Open Source Summit North America 2026. The tool is designed to help users of LLMs understand to what degree a model is (or is not) open, and to combat the openwashing that is prevalent with LLMs.