@bekkaboo@girlcock.club Linux itself is heavily using AI models. Therefore, every Linux distribution moving to recent kernel versions is heavily built on top of using AI models. Creating a Linux distribution not heavily using it would require a hard fork of the Linux kernel and many other projects.
It's unclear what would be accomplished by banning AI for a tiny portion of the code while continuing to use Linux, AOSP, Chromium and hundreds of other projects heavily using it. We'd still be benefiting from it.
GrapheneOS is currently defending its use of AI coding tools on Mastodon against complaints by various accounts claiming to be users.
We do not understand where you’re coming from or why you’re so incredibly angry with us. It’s not justified and does not make sense.
I’d argue that this news is over-blown. The project has more than a solid and honorable track record with insanely talented engineers behind it. AI is a new technology that is not going anywhere. I would put my faith into their decisions to improve this project by whatever means they think are best.
The truth is most commenters are not technically skilled to evaluate or critique their decisions. If GOS team, who again would be at the top % in the field, feel that this can elevate the project, should we not give them the benefit of the doubt?
My thought it was over blown until I saw them claiming that anyone on Mastodon is “not a user” and them saying that any real users are on their Discord and not complaining.
Uh, OK - Discord was semi-excusable up until 2025, but at this point anyone using it to communicate with their users is certainly not considering how bad that channel is for user privacy. Im a Graphene User, I will not use Discord, and I am not going to continue to use an OS thats supporting the rapid expansion of datacenters through the use of AI.
Exactly this. As much as I hate the current AI scenario across the board, the GOS team has shown, time and again, that they are stellar developers and coders, that they genuinely care about security, and that they are the best at countering anti-privacy on the technology front.
If any team can use AI responsibly to improve all this, it’s the GOS team. And if it ends up failing on it’s face, I expect them to move away from it if things go south. Now, if they don’t because of ‘AI addiction’, then I will be looking at what my alternative options are. Until them, I’m 100% with them, as they have not given me any reason yet to doubt their judgement.
I always wonder where this sentiment comes from. Whether or not AI is going anywhere is still very much up in the air
It exclusively comes from either snake oil vendors or people who are less smart than they think they are. Where the former are typically part of the latter group.
At the very least, you’d have to convince both the US and China to stomp it out. And then there are other countries that would be willing to pick up the slack.
AI is not something self sustaining enough to necessarily require stomping out, at least that we know of at this point. Right now AI’s future relies on its operators continuing to convince people of a theoretical future scenario.
It’s not going anywhere because it’s already been here for a very long time, you just didn’t know about it
What people call “AI” is just Machine Learning.
Chatbots, OCR, Text-to-Speech, Speech-to-Text, Computer Vision, Web Search, Spam filtering or Fraud detection, Personalized ADs, even your phone’s camera processing algorithm.
It’s all Machine Learning, but now under new and fancy “AI” name. And it’s been here for decades.
The reason it blew up this much only now is because people realized that the more data you feed into it, the better the output becomes. And so they started exploring it more, to the extent of causing valid ethical concerns.
LLMs use a new way of data processing (focused on language rules) which is what brought the boost. Not more training data. More training data is needed for an LLM to reach “maturity” but it also increases cost due to resource usage. And current LLMs have already absorbed basically all of the internet and most books, and since the internet is now full of slop, more unpoisoned training data does not exist. That’s why more does not help anymore.
As someone who despises the current slop hype with a passion, you’re correct on this. But only when you exclude LLMs. Because they are garbage with a net negative for mankind. Machine learning as a field however has very useful applications. Typically such that complement human assessment of data, e.g. re-viewing radiology images to flag potentially anomalous images for a second doctor to look at - not in place of the first doctor.
Instead of going away, the AI will transform. It’s sort of in a bubble state rn. Once it pops, the fields where it’s useful will keep on using it, whilst those applications that have no real grounds for existing will either have their plugs pulled or resources cut.
Pointing to a wiki page instead of actually explaining stuff isn’t going to change my mind.
Now, if you’re talking specifically about LLMs, however (which you could’ve just said so, ffs). I think their scope of application and resources wasted on them will be significantly reduced. Look at what happened to blockchains and NFT. Basically, I expect the same to happen here.
AI is a new technology that is not going anywhere. I would put my faith into their decisions to improve this project by whatever means they think are best.
Aaaand just like that you disqualified yourself from having an opinion worth listening to on what “insanely talented engineers” are.
Calling for the murder of other people in a public forum is never wise. At best, you could (should) be permanently banned. At worst, police could show up at your house and lock you away forever (the world would be better place for it!).
I’d argue that this news is over-blown. The project has more than a solid and honorable track record with insanely talented engineers behind it. AI is a new technology that is not going anywhere. I would put my faith into their decisions to improve this project by whatever means they think are best.
The truth is most commenters are not technically skilled to evaluate or critique their decisions. If GOS team, who again would be at the top % in the field, feel that this can elevate the project, should we not give them the benefit of the doubt?
My thought it was over blown until I saw them claiming that anyone on Mastodon is “not a user” and them saying that any real users are on their Discord and not complaining.
Uh, OK - Discord was semi-excusable up until 2025, but at this point anyone using it to communicate with their users is certainly not considering how bad that channel is for user privacy. Im a Graphene User, I will not use Discord, and I am not going to continue to use an OS thats supporting the rapid expansion of datacenters through the use of AI.
I did not see those comments, if that’s true, it’s definitely strange.
Exactly this. As much as I hate the current AI scenario across the board, the GOS team has shown, time and again, that they are stellar developers and coders, that they genuinely care about security, and that they are the best at countering anti-privacy on the technology front.
If any team can use AI responsibly to improve all this, it’s the GOS team. And if it ends up failing on it’s face, I expect them to move away from it if things go south. Now, if they don’t because of ‘AI addiction’, then I will be looking at what my alternative options are. Until them, I’m 100% with them, as they have not given me any reason yet to doubt their judgement.
I always wonder where this sentiment comes from. Whether or not AI is going anywhere is still very much up in the air
Yeah, lots of new tech that vanished because it sucked, wasn’t profitable, destroyed the environment, etc.
It exclusively comes from either snake oil vendors or people who are less smart than they think they are. Where the former are typically part of the latter group.
At the very least, you’d have to convince both the US and China to stomp it out. And then there are other countries that would be willing to pick up the slack.
AI is not something self sustaining enough to necessarily require stomping out, at least that we know of at this point. Right now AI’s future relies on its operators continuing to convince people of a theoretical future scenario.
GOS is not part of a theoretical future.
It’s not going anywhere because it’s already been here for a very long time, you just didn’t know about it
What people call “AI” is just Machine Learning.
Chatbots, OCR, Text-to-Speech, Speech-to-Text, Computer Vision, Web Search, Spam filtering or Fraud detection, Personalized ADs, even your phone’s camera processing algorithm.
It’s all Machine Learning, but now under new and fancy “AI” name. And it’s been here for decades.
The reason it blew up this much only now is because people realized that the more data you feed into it, the better the output becomes. And so they started exploring it more, to the extent of causing valid ethical concerns.
And that’s bullshit. The slop machines have already peaked. More input will not improve the results.
Not compared to models from 00s or 10s…
What’s with the reading comprehension, people? I was talking about pre-AI boom vs. now, not now vs. 1-2 years ago, c’mon.
LLMs use a new way of data processing (focused on language rules) which is what brought the boost. Not more training data. More training data is needed for an LLM to reach “maturity” but it also increases cost due to resource usage. And current LLMs have already absorbed basically all of the internet and most books, and since the internet is now full of slop, more unpoisoned training data does not exist. That’s why more does not help anymore.
Touché
Machine learning isn’t going anywhere. But it’s clear from the context here what we’re referring to when we say AI in this conversation.
As someone who despises the current slop hype with a passion, you’re correct on this. But only when you exclude LLMs. Because they are garbage with a net negative for mankind. Machine learning as a field however has very useful applications. Typically such that complement human assessment of data, e.g. re-viewing radiology images to flag potentially anomalous images for a second doctor to look at - not in place of the first doctor.
Finally, someone gets it!
Instead of going away, the AI will transform. It’s sort of in a bubble state rn. Once it pops, the fields where it’s useful will keep on using it, whilst those applications that have no real grounds for existing will either have their plugs pulled or resources cut.
Apparently, not to me. Explain.
Edit: Downvoting a person for asking clarification? Shame on you lot.
Here’s a starting-point: https://en.wikipedia.org/wiki/Large_language_model
Pointing to a wiki page instead of actually explaining stuff isn’t going to change my mind.
Now, if you’re talking specifically about LLMs, however (which you could’ve just said so, ffs). I think their scope of application and resources wasted on them will be significantly reduced. Look at what happened to blockchains and NFT. Basically, I expect the same to happen here.
Nobody is trying to change your mind. You’re just immune to context clues lol
So, instead of helping me out when I ask, you choose shaming?
If you just wanted to bitch about AI instead of having a proper conversation, you could’ve just said so.
Aaaand just like that you disqualified yourself from having an opinion worth listening to on what “insanely talented engineers” are.
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Calling for the murder of other people in a public forum is never wise. At best, you could (should) be permanently banned. At worst, police could show up at your house and lock you away forever (the world would be better place for it!).
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So, username checks out…
¯\_(ツ)_/¯