Many AI applications on music relates to music theoretical models, in the sense of musical concepts and ideas of how music works, that are not always made explicit, explicitly discussed or questioned. Already the choice of representations of music and sound as well as the selection of data for training models can influence models and creative output greatly. Here we will give some examples of problems arising when modelling basic musical features, from the experience of developing  automatic music notation.