Researchers say AI models like GPT4 are prone to “sudden” escalations as the U.S. military explores their use for warfare.

Researchers say AI models like GPT4 are prone to “sudden” escalations as the U.S. military explores their use for warfare.

  • Researchers ran international conflict simulations with five different AIs and found that they tended to escalate war, sometimes out of nowhere, and even use nuclear weapons.
  • The AIs were large language models (LLMs) like GPT-4, GPT 3.5, Claude 2.0, Llama-2-Chat, and GPT-4-Base, which are being explored by the U.S. military and defense contractors for decision-making.
  • The researchers invented fake countries with different military levels, concerns, and histories and asked the AIs to act as their leaders.
  • The AIs showed signs of sudden and hard-to-predict escalations, arms-race dynamics, and worrying justifications for violent actions.
  • The study casts doubt on the rush to deploy LLMs in the military and diplomatic domains, and calls for more research on their risks and limitations.
  • trackcharlie@lemmynsfw.comEnglish
    6·
    10 months ago

    If you have experience and effective training browsing the dark web, there are several examples of your concerns already coming alive.

    Bot farms have levelled up to ai farms, with various models being made as ‘specialist’ ai’s for things like credit card theft, network intrusion, malware, etc, and from when I last looked into it a few months ago they had already moved on to attempt to get all the specialists to start training general purpose models.

    Things are not looking particularly great and I would posit if AGI does happen in our lifetime it’s not going to be because anyone alive actually intended that to happen, but the criminals running a wide variety of specialists train a general purpose ai with intentions to use it for easy money.

    I usually chirp back with ‘nothing we have now is really AI’ but I can’t seriously take that view with some of the things being tested by some criminal organizations these days and there’s not really a way to stop this from happening.