All of the developments mentioned here, and countless others which can be explored in the detailed RMG release notes, 44 have greatly improved the accuracy, robustness, and applicability of RMG to modeling various chemical systems. RMG development is more active than it has been at any point in the past, which promises to continue bringing new and exciting improvements. For example, ongoing development of automated high-throughput quantum calculations for both thermochemistry and kinetics, leading-edge machine learning methods for parameter prediction, and new model expansion algorithms to complement species selection by flux are leading toward construction of even more accurate models using automatic mechanism generation.