Large language models restructure entire codebases in hours yet struggle with simple, casual questions. This gap suggests a fundamental limit in how LLMs process logic versus general knowledge. The disparity proves that high performance in formal systems like math does not equal human-like reasoning. Developers must account for these blind spots in production deployments.