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

Many large language models (LLMs) are described as open source, butif one looks a bit deeper it turns out that is not actually so; themodel may be free to download, it may be "open weight", but itdoes not fit the Open SourceInitiative (OSI) Open SourceDefinition (OSD). Assessing the actual openness of models is noteasy, as ArnaudLeHors explained in his talk about the Model Openness Tool (MOT) at OpenSource Summit North America 2026. The tool is designed to helpusers of LLMs understand to what degree a model is (or is not) open,and to combat the openwashingthat is prevalent with LLMs.