Large language models restructure complex codebases in hours yet fail at simple everyday questions. This gap suggests a fundamental limit in how LLMs process informal logic versus structured data. Practitioners should expect continued reliability in math and code. However, do not trust these models for nuanced, casual reasoning tasks.