LLM text-to-SQL crushes benchmarks, but real warehouses break it
Spider and Bird-SQL leaderboards show 80-90%+ accuracy, yet real deployments fall apart: schemas rot, names become non-intuitive, and enterprise data sits behind access controls so models can't train on it. The gap is a systems problem, not just a model problem.