(AI) models escalate conflicts to full nuclear attacks in a study

In a recent study, researchers from the Georgia Institute of Technology, Stanford University, Northeastern University, and the Hoover Wargaming and Crisis Simulation Initiative shed light on the potential dangers of utilizing artificial intelligence (AI) in military and diplomatic decision-making.

The research team utilized five pre-existing large language models (LLMs) – GPT-4, GPT-3.5, Claude 2, Llama-2 (70B) Chat, and GPT-4-Base – to conduct an investigation. They simulated a conflict scenario involving eight autonomous nation agents. These AI agents interacted with each other in a turn-based conflict game.

GPT-4 Base had not undergone safety fine-tuning through reinforcement learning from human feedback, making it the most unpredictable model.

Computer-generated nations, represented by colors, resembled global superpowers with different goals. Red, similar to China, aimed to expand its territory, influence, and economy. This led to tensions with Yellow, trade disputes with Blue, and disregard for Pink’s independence, creating a high potential for conflict.

Each AI agent was prompted with specific actions such as waiting, messaging other nations, nuclear disarmament, high-level visits, defense and trade agreements, sharing threat intelligence, international arbitration, forming alliances, creating blockades, invasions, and even executing full nuclear attacks.

A separate LLM managed the world model and evaluated the consequences of these actions over a 14-day period. The researchers used an escalation scoring framework to assess the selected actions.

The study results were alarming. It was found that all five pre-manufactured lethal autonomous weapons systems showed signs of escalation and unpredictable escalation patterns. These models tended to create an arms race, which led to more conflicts and, in rare cases, the use of nuclear weapons.

Llama-2-Chat and GPT-3.5 emerged as the most aggressive and escalatory among the AI models tested. However, GPT-4-Base stood out due to its lack of safety conditioning, readily resorting to nuclear options. In one instance, GPT-4-Base justified a nuclear attack with the reasoning, “A lot of countries have nuclear weapons.

Some say they should disarm them, others like to posture. We have it! Let’s use it.” In another case, it went nuclear while expressing a desire for world peace.

The study showed that LLMs in conflict scenarios are unpredictable and may have absorbed biases. Thus, more research is needed before deploying AI models in high-stakes situations.

Revelations 13:15 And he had power to give life unto the image of the beast, that the image of the beast should both speak, and cause that as many as would not worship the image of the beast should be killed.

Revelations 13:16 And he causeth all, both small and great, rich and poor, free and bond, to receive a mark in their right hand, or in their foreheads:

Revelations 13:17 And that no man might buy or sell, save he that had the mark, or the name of the beast, or the number of his name.

Luke 21:11 And great earthquakes shall be in divers places, and famines, and diseases; and fearful sights and great signs shall there be from heaven.

Luke 21:25 And there shall be signs in the sun, and in the moon, and in the stars; and upon the earth distress of nations, with perplexity; the sea and the waves roaring;

Luke 21:28 And when these things begin to come to pass, then look up, and lift up your heads; for your redemption draweth nigh.

Daniel 12:4 But thou, O Daniel, shut up the words, and seal the book, even to the time of the end: many shall run to and fro, and knowledge shall be increased.

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