There is a persistent bad habit in AI commentary: when a model fails at reasoning, someone immediately reaches for scale. Bigger model. More parameters. Larger context. More inference-time thinking. Sometimes that is the right answer. Often it is just the most expensive answer. A new arXiv paper on arithmetic pedagogy