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?
AI is a new technology that is not going anywhere.
I always wonder where this sentiment comes from. Whether or not AI is going anywhere is still very much up in the air
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.
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.
the more data you feed into it, the better the output becomes.
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.
Machine learning isn’t going anywhere.
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.
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.
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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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There really is a difference between AI-assisted coding and vibe coding, and I don’t know enough about actually coding to look at their repos and tell you what’s happening.
The issue is, there’s also difference between how people cram “AI-assistance” into their previously well-refined workflows. Did see the odd person ending up with the same issues as straight-out vibe coding but without the speed, including the eventual (mild) AI psychosis and later switching to vibe coding after the chatbot convincing him.
Also I think it would be pretty trivial to generate an “understanding” of the code, yet AI boosters never bring up it as a concern.
People still seem to think AI is a fad that will go away. I don’t see this happening (for code) at all. Not ever
People don’t really understand this yet. There are LLMs that can do useful work running locally on 5 year old laptops (ok, only if it’s a Macbook Pro, but still). Qwen on consumer hardware isn’t close to Claude Code using cloud models, but it can do real work and this is the floor, the absolute minimum of AI we will have going forward. No matter what happens to the industry and the bubble, it will not go away. With any other outcome other than a total collapse of the bubble, AI will be more powerful than that.
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The thing about tools is they do what you expect. A fork picks up food. A hammer’s head doesn’t suddenly change shape or fly off. I don’t have to worry about my shoes suddenly falling apart.
AI cannot do these things, but encourages you to use them in such a way that you don’t have to oversee the output.
It is so much more work to rewrite something that has already been written poorly. It takes more time and effort than to just rewrite it from scratch. It’s not a tool as it cannot do its job. On top of that it’s just a glorified collage machine pulling code or whatever it wants from its database and smashing it together. The code is not novel or genuine.
All of that rework and it still destroys the environment and communities wherever their data centers are housed. Loud noise and now Americans don’t have the right to clean water. They’re pissing in your yard and telling you to drink it up.
Please have a spine. Or just some pride.
They’re using AI models to find vulnerabilities. I assume the fixes are human written.
Cool well I’ll keep using Lineage until they become massive piles of steaming crap as well.
Fuck AI and all you silicon ball lickers.
A large number of people are using it as an opportunity to promote using operating systems which are the direct opposite of hardened and are much more heavily using AI models including for a lot of code generation.
LineageOS is certainly using it. CalyxOS, /e/ and iodéOS are based on it. CalyxOS is developed by LineageOS core developers.
Since LLMs are essentially built from code, I have an easier time believing that coders can get a benefit, especially at the Individual level, within the frame of having a coding background and being able to audit, directly, the code that the machine spits out. But basically everything else happening with, and surrounding, these fucking things is atrocious.
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I feel ya dude
Fan-fucking-tastic. Everything I love is ruined by slop users.
@bekkaboo@girlcock.club Linux itself is heavily using AI models.
For security analysis and uncovering bugs.
Sooner than later most things the average person does will sort of be vibe coded like compiling to an intermediate language. The idea of apps and walled gardens will not be as important. Instead of approved apps, it will be approved models and agents. Even the idea of an operating system is going to change. Linux is a great space for integrating the computing environment with AI coding. The full source is available to the model and any change you ask it to make can just be done for you. The idea of running a “Linux” or “Windows” could be limited to certain software and domains.
I think that certain things will be fairly resistant to forking, even by AI. Foundational software like the kernel, compilers, basic tools, databases, and so on will likely benefit more from being used as the standard/vanilla version rather than a modded version (especially a vibe-modded one).
But people and companies will experiment with this for sure and it wouldn’t surprise me if some of the less software-competent hardware companies start making their Linux forks or drivers with LLMs, at least for a couple of years in the near future.
I also think that this will shift lots of companies further away from GPL toward MIT/BSD, because they’ll want a fully moddable source but they won’t want to share what they’re vibecoding.
I guess many people don’t know how much programming has changed over the last year. GrapheneOS is doing a good job telling it like it is.
… telling it like it is.
I know only one type of person that uses that phrase unironically.
