This blog post discusses a research study examining human interactions with Large Language Models (LLMs) in strategic games. The findings indicate that players tend to choose lower numbers against LLM opponents than against human participants, particularly those with high strategic reasoning skills. The study highlights a shift in player behavior influenced by perceptions of LLM rationality and cooperation, providing insights into human-LLM dynamics and implications for designing mixed systems.