Professor Loeb's discussion of uncertainty especially its importance to the study of astrophysics and science more broadly raised a few interesting points regarding predictive models. Discriminating between stable and unstable systems was interesting in Loeb's framework especially when integrated with AI applications. The concept of opening up the hood to both stable and unstable models to better understand how things like AI may work was so interesting. Have we fully opened the hood of medical studies? Can we ever completely figure out life sciences if we determine the underlying determinants and initial conditions? It seems that professor Loeb would support the blue sky research camp that emphasizes uncovering these fundamental natures of reality, as such, how do we ever know what we don't truly know?