In this section, we inspect possible failure modes of goaldirected molecule generators. We argue that a core problem in this setting is the definition a scoring function that in-cludes all of the desired properties a molecule should have in a robust way. We show that this problem is exacerbated when predictions of a machine learning model are used as part of the score.