435
this post was submitted on 14 Jun 2026
435 points (98.4% liked)
Linux Gaming
26236 readers
713 users here now
Discussions and news about gaming on the GNU/Linux family of operating systems (including the Steam Deck). Potentially a $HOME away from home for disgruntled /r/linux_gaming denizens of the redditarian demesne.
This page can be subscribed to via RSS.
Original /r/linux_gaming pengwing by uoou.
No memes/shitposts/low-effort posts, please.
Resources
Help:
- ProtonDB
- Are We Anticheat Yet?
- r/linux_gaming FAQ
- Fork of an earlier version of the above
- PCGamingWiki
- LibreGameWiki
Launchers/Game Library Managers:
General:
Discord:
IRC:
Matrix:
Telegram:
founded 3 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
You wouldn't necessarily need machine learning, but you would need some sort of heuristics algorithm that checks a player's inputs to ensure they look like real human inputs. I'm sure the auto-aim mouse pad makes microadjustments or sudden changes that aren't feasible for a human to make, and that sort of stuff is readily detectable.
until you use machine learning to collect all the game footage of pros mouseflicks so you have data for a "human-like" flicks between any 2 mouse positions, which becomes how your aimbot moves your mouse. Now the aimbot can't catch you without also getting false positives from those pros
I have always been a believer that the best anti-cheat is a proper way to measure player skill for your SBMM, with that cheaters will naturally only be matched against other cheaters.
Not feasible for most humans to make, sure. I just wonder where the line gets drawn between ML and MLG, or even if it's a bright line at all.
The line is gonna be fuzzy, and based on multiple systems, both automated and manual, and none of it will be perfect. But at the end of the day, it's a fucking video game. I'd rather lose occasionally to a cheater than install malware on my computer.