Not Yet: Humans Outperform LLMs in a Colonel Blotto Tournament

ArXi:2605.22095v1 Announce Type: cross The emergence of large language models (LLMs) has spurred economists to study how humans and LLMs behave in strategic settings. We organized a series of round-robin tournaments in the Colonel Blotto game. This game attracts game theorists' attention due to high-dimensional action space and the absence of pure strategy Nash equilibria. In the first tournament, than 200 human participants competed against one another. In the second tournament, several popular LLMs were invited to submit strategies.