Basically Homeless
3 HN mentions · mentioned in 3 months, 2021–2024
8:28 · 2M views · Jul 13, 2021
The video argues that machine-learning-based aimbots, which read the screen and drive the controls externally, could make cheating in FPS games undetectable. It explains how conventional aimbots work, how the new approach differs, and speculates on possible detection.
HN uses it as a reference when discussing anti-cheat limits, particularly external hardware and AI cheats that bypass kernel-level protection.
3 comments from Hacker News
Too much ego, friend. You should've used the past tense. Skill tunable AI, developed by a private poorly funded group, that plays the game for you this video AlphaStar, developed by a large corp, mopping the floor with Battle.Net's Starcraft 2 players [LINK] OpenAI, developed by a large corp, beats top DotA2 team [LINK] On one hand, it's exciting tech [old] news. On the other, people who play competitive games must hope for a solution against abuse. The rest of us must hope it isn't an invasive solution such as, what effectively is, kernel malware.
If they worked to any acceptable level of efficacy then they could be tolerated. They're only tolerated by people who think they work as well as they claim to work (security theater) but anyone who knows about the performance impacts and/or are tech-savvy enough to understand it is a rootkit and potential exploit (that would fully pwn your device) hates them. Some cheats are getting rather sophisticated now. There's an ever-increasing number of Pi-devices where the cheating is done externally. [LINK] this video
I'm a little out of my depth on this particular topic. Is it possible to stop this[1] kind of cheat without some kind of hardware verification? [1] this video