Large language models have become the engines behind some of the most impressive feats in contemporary computing. They write complex software, summarize scientific papers, and navigate intricate chains of reasoning. Yet as a recent study shows, these same systems falter on a task that most ten-year-olds can perform with pencil and paper. According to a new article from TechXplore and the accompanying research paper Why Can’t Transformers Learn Multiplication? Reverse-Engineering Reveals Long
