In spite of the deluge of publications detailing new approaches towards the generation of molecules, wet-lab validations of generative models remain scarce. and showed that molecules generated using transfer learning showed activity in vitro. identified a DDR1 kinase inhibitor using generative Deep Learning models. What is not apparent from these studies is how "inventive" the proposed methods are and how they would fare in comparison to an approach in which chemists design compound libraries using more traditional methods. As the field matures, we hope that such comparisons will become more prevalent.