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[–] 2 points 7 months ago (1 child)

Automated could work using AI to check how someone is playing, since a lot of LLMs are specialized in analyzing if something has human behaviors on it or not, but even then that approach isn't 100% guaranteed. Ideally we'd use server-side anti-cheat instead of offloading it to client side, but that costs money and suits are allergic to spending money.

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  • [–] 2 points 7 months ago

    You mean machine learning algorithms (or just "AI"), not Large Language Models. LLMs are just advanced word prediction machines; they're categorically incapable of detecting cheating in a game.

    But, yeah. It would totally make sense to have server-side detection for things like:

    • Consistency with performance (no changes over time within or sessions with reaction time, for example)
    • Behaviour changes depending whether there is vs. isn't someone around a corner, particularly in areas with long sight lines so footstep sounds wouldn't trigger
    • Inhumanly quick reaction times, with consistency (e.g. < 100ms reaction times — 101 ms is the world record)

    etc.

    Sure, people could still have cheats help tweak inputs, a bit, like "gentle" headshot aiming assistance, but it would catch egregious cheaters.

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