Latest Comments by LoudTechie
League of Legends likely unplayable on Linux / Steam Deck soon due to Vanguard anti-cheat
10 Jan 2024 at 2:22 pm UTC Likes: 4
Principle of least privilege and ignorance.
Some argue that, since the game has to prevent cheating and cheating can happen at root level they need to be able to check it.
I disagree on multiple levels.
A. I don't think, it is worth it.
B. I don't think it's needed. I think it's possible to do without and I got ideas of how to implement it.
10 Jan 2024 at 2:22 pm UTC Likes: 4
Quoting: BlackBloodRumI have to ask, how do people justify allowing a video game absolute total control over their computer at the kernel-level?Ooh, Ooh, I know I read that somewhere on Reddit.
How does one justify that is a good thing to have? It is a rootkit.
Regardless if you use Windows, Linux or the other one it just sounds like a bad idea. I can't help but feel the reason these companies won't do this for Linux is simple: They know most Linux users would reject it, and refuse to use the game anyway.
But it still begs the question, why are some people accepting of this?
Principle of least privilege and ignorance.
Some argue that, since the game has to prevent cheating and cheating can happen at root level they need to be able to check it.
I disagree on multiple levels.
A. I don't think, it is worth it.
B. I don't think it's needed. I think it's possible to do without and I got ideas of how to implement it.
League of Legends likely unplayable on Linux / Steam Deck soon due to Vanguard anti-cheat
10 Jan 2024 at 2:17 pm UTC Likes: 6
They consider Linux more dangerous, because of the more techie users and the larger user freedom.
They don't realize that Mac has a bigger cheating budget par user and that MacOS contrary to IOS has totally functional jailbreaks.
A fun, but hard way to fix this would be to expand Darling to run the Mac code and just use the Mac version.
10 Jan 2024 at 2:17 pm UTC Likes: 6
Quoting: martinligabue"macOS version", ah yes, let's make an entire version, without the "good" anticheat on a platform near the 1.5% of the share, and not for one near 2%Standard fear.
They consider Linux more dangerous, because of the more techie users and the larger user freedom.
They don't realize that Mac has a bigger cheating budget par user and that MacOS contrary to IOS has totally functional jailbreaks.
A fun, but hard way to fix this would be to expand Darling to run the Mac code and just use the Mac version.
OpenAI say it would be 'impossible' to train AI without pinching copyrighted works
10 Jan 2024 at 10:13 am UTC Likes: 1
B. I would actually go further than that and call them unauthorized hosters of to the copyright holders choice copyrighted content or even of a derivative work of all copyrighted content in their training set.
i. Storing unauthorized copyrighted is illegal independent of whether or not you distribute it. This is how pirates were hunted at first until it proved too inefficient.
Alos copyright is format independent and it has been proven multiple times that training data can partly to fully be recovered from llms. The same has been successfully said of jpg, png and other data formats. Its just easier.
ii. It's a derivative work, because it has been made with the copyrighted data. Would've been different without it. Has been made to mimic properties of the copyrighted data.(The drawback of this argument is that it uses the same argument as the arguments against fan fiction, but they've held up in court and most fan fiction organizations tend to accept that they exist by the grace of their often pretty graceful authors.)
C. This's actually the main difference between the development method of of actual data available AI(often FOSS, not always) and proprietary AI like Bard and OpenAI. Source available AI aggressively curates their data, because it gives a great training speed advantage and requires less data. Proprietary AI tends to use lots of training layers with lots of parameters, due to the low development cost.
10 Jan 2024 at 10:13 am UTC Likes: 1
Quoting: pleasereadthemanualI agree with the sentiment that our public domain is not as valuable as it should be. As ever, OpenAI representatives write with the assumption that they are entitled to do whatever they want, regardless of the laws. Why do they feel the need to phrase it like that?A. Totally agree. We've to play by the rules or run. They've to play by the rules or run.
Quoting: EagleDeltaLLMs aren't going around storing articles, code, pictures, art, etc in its model. It is simply learning from those.... and all the benefits AND drawbacks that come with that.Sure, but that doesn't mean OpenAI employees are now allowed to download millions of copyrighted works that have been distributed on trackers/DDL sites without permission from the copyright holder. If ChatGPT were only using Common Crawl, that's one thing, but we know they're not.
Supposedly ChatGPT's training content is carefully curated, FWIW.
B. I would actually go further than that and call them unauthorized hosters of to the copyright holders choice copyrighted content or even of a derivative work of all copyrighted content in their training set.
i. Storing unauthorized copyrighted is illegal independent of whether or not you distribute it. This is how pirates were hunted at first until it proved too inefficient.
Alos copyright is format independent and it has been proven multiple times that training data can partly to fully be recovered from llms. The same has been successfully said of jpg, png and other data formats. Its just easier.
ii. It's a derivative work, because it has been made with the copyrighted data. Would've been different without it. Has been made to mimic properties of the copyrighted data.(The drawback of this argument is that it uses the same argument as the arguments against fan fiction, but they've held up in court and most fan fiction organizations tend to accept that they exist by the grace of their often pretty graceful authors.)
C. This's actually the main difference between the development method of of actual data available AI(often FOSS, not always) and proprietary AI like Bard and OpenAI. Source available AI aggressively curates their data, because it gives a great training speed advantage and requires less data. Proprietary AI tends to use lots of training layers with lots of parameters, due to the low development cost.