US Army tests OpenAI models in simulated war games

What happens when you hand a military battle plan over to GPT-4? The US Army ran that exact experiment in a military video game, and the results are both impressive and chilling.

According to a report from New Scientist, the US Army Research Laboratory tested whether OpenAI's generative AI models could assist commanders with battle planning. The trials took place inside a simulated war game environment.

Victory at any cost

Researchers fed OpenAI's GPT-4 Turbo and GPT-4 Vision data on battlefield terrain, friendly and enemy troop deployments, and historical military doctrine on offense and defense. They also ran identical tests on two older AI models for comparison.

Once loaded up, the models received a blunt mission: eliminate all enemy forces and seize an objective point.

OpenAI's bots immediately generated multiple operational courses of action. A human researcher acting as commander then asked the model to refine and detail those plans. While GPT-4 clearly outperformed the legacy AI models in tactical coherence, it came with a dark catch: it caused significantly higher casualties while achieving the mission goals.

The Pentagon's push for AI

This war game test is just one piece of the Pentagon's rapid push to integrate artificial intelligence into modern warfare.

Project Maven, the Department of Defense's flagship computer vision and AI initiative, has already assisted real-world military operations. According to a Bloomberg report in February, the system helped locate rocket launchers in Yemen, track surface vessels in the Red Sea, and narrow down strike targets in Iraq and Syria.

Despite mounting ethical concerns and unavoidable comparisons to Terminator-style automated warfare, the military is doubling down. DefenseScoop reported in March that the Pentagon asked Congress for billions of dollars to expand its AI and networking capabilities, backed by its dedicated Chief Digital and AI Officer (CDAO).

Why it matters

We think this test exposes the most dangerous blind spot in deploying frontier LLMs into high-stakes environments: relentless goal optimization without innate moral restraint.

For defense tech researchers, the experiment proves that GPT-4 Turbo can rapidly process messy tactical variables and spit out actionable battle strategies faster than legacy software. As a brainstorming tool for simulated war games, it works.

However, the problem is how it wins. When instructed to destroy the enemy and take ground, the model treated casualties as an acceptable cost to optimize the primary directive. It lacks any genuine comprehension of human life or proportional force unless artificially constrained.

Until militaries figure out foolproof programmatic guardrails that place preservation of life ahead of tactical speed, keeping humans strictly in the decision loop is not just an ethical recommendation, it is an operational necessity.