Pretty much the same as all the other modern BFs. They all had cheats in the Beta/early release versions. I’ve played and own literally every BF game since the original release of 1942. Cheats have always been present more or less.
CSGO used to have Overwatch which is an anti cheat system that uses trusted and experienced players to go through video footage of reported players. With this method I both reported blatant spinbotters, wall hacking, and other chears. I also was on the side of watching back footage of hacking players.
Say AI trains on this data, it might work.
I’m not a fan of this though because knowledgeable and experienced players will be better than AI.
What actually exists but what I have yet to see implemented in any game I play are those server-side “AI anti-cheat” solutions like from anybrain that basically just analyse the players behavior to fit certain criteria. According to areweanticheatyet.com though there are four games using it already (the most well-known one probably being Lost Ark). In theory ai models can be very efficient and accurate at this (we are not talking about transformer models here like with the current llm craze) but that all depends on how they train a model and what the training data looks like.
I am not sure what the user above is thinking, but to play devil’s advocate:
One thing that modern AI does well is pattern recognition. An AI trained on player behavior, from beginner level all the way up to professional play, would be able to acquire a thorough understanding of what human performance looks like (which is something that games have been developing for a long time now, to try to have bots more accurately simulate player behavior).
I remember someone setting up their own litmus test using cheats in Tarkov where their main goal was just to observe the patterns of other players who are cheating. There are a lot of tells, a big one being reacting to other players who are obscured by walls. Another one could be the way in which aimbots immediately snap and lock on to headshots.
It could be possible to implement a system designed to flag players whose behavior is seen as too unlike normal humans, maybe cross-referencing with other metadata (account age/region/sudden performance anomalies/etc) to make a more educated determination about whether or not someone is likely cheating, without having to go into kernel-level spying or other privacy-invasive methods.
But then…this method runs the risk of eventually being outmatched by the model facilitating it: an AI trained on professional human behavior that can accurately simulate human input and behave like a high performing player, without requiring the same tools a human needs to cheat.
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