In practical applications, we have found generative models to be highly adept at generating surprising solutions which are numerically superior but of little use. This often necessitates several iterations between generating molecules and refining the scoring function to account for previously unexpected behavior from the generator, before arriving at molecules which could be useful for drug discovery projects.