It is sometimes believed that computer-aided design (CAD) methods need to provide radically "non-intuitive" different compounds to merit its use. However, believing that CAD approaches should surprise us and produce results that we would not have expected is a tall order. In this context, the scoring functions used in generative methods for reinforcement learning are not designed to extrapolate, and do not account for all aspects involved in designing drugs process. Thus, the power of current AI's lies more in pattern recognition than in creative discovery.