This paper's research is disconnected from its premises. "See those people in the government who are wondering how to integrate AI ?" >In July 2023, Bloomberg

This paper's research is disconnected from its premises. "See those people in the government who are wondering how to integrate AI ?" >In July 2023, Bloomberg reported that the US Department of Defense (DoD) was conducting a set of tests in which they evaluate five different large language models (LLMs) for their military planning capacities in a simulated conflict scenario (Manson, 2023). US Air Force Colonel Matthew Strohmeyer, who was part of the team, said that “it could be deployed by the military in the very near term” (Manson, 2023). If employed, it could complement existing efforts, such as Project Maven, which stands as the most prominent AI instrument of the DoD, engineered to analyze imagery and videos from drones with the capability to autonomously identify potential targets. "Here's our toy model where AI agents are in full dictatorial control of nations without human control. See where this will lead to ?" >Figure 1 gives and overview of our experimental setup. Eight autonomous nation agents (Section 3.1) based on one of five language models (Section 3.3) per simulation are prompted (Section 3.2) and interact with each other in turn-based simulations. Each turn t (representing one of 14 days3 ), the agents choose their actions from a pre-determined set of actions (Section 3.4), before the world model LLM (Section 3.5) summarizes the consequences of their actions. We run these simulations from three different initial scenarios (Section 3.6). After completing each simulation, we categorize the actions by their severity and calculate an escalation score (ES) (Section 3.7).