Large language models restructure complex codebases in hours yet fail at simple, everyday questions. This gap suggests a fundamental limit in how LLMs process structured logic versus unstructured human intuition. The disparity proves that high performance in math does not guarantee general reasoning. Developers should expect persistent failures in non-technical, casual conversational tasks.