this post was submitted on 15 Jul 2026
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Well most of them won't read beyond the headline; they'll likely just make massive assumptions based on title and their own predispositions. Sounds to me like Linus is trying to leave room for some of the practical nature of LLMs and implement them as useful tools, but it seems like he may be a little ignorant of the various agendas of LLM developers themselves. Just my stupid take.
IMO it's a pretty clear eyed take. LLMs are tools and, like all tools, are more fit for some purposes than others. And, like many tools, they're hard to understand, easy to misuse, and dangerous when they are misused (intentionally or otherwise). And, like any tool, they can be used for evil if the user has a mind to do so. Just because they are currently being used to do great harm doesn't mean they can't also be put to good use.
I think the FOSS community, in particular the Fediverse community, does itself a disservice by refusing to engage with them at all. They aren't evil in and of themselves, they're just new and selfish people will try to find an angle with them, same as it's always been. I think it's up to us to understand them and try to find a way to use them ethically. Show the world that it's not that we invented scary Artificial Intelligence, it's just that we created a cool, if wonky, search interface for text. Wonky in what way? Well, I think it'd be nice if there were robust FOSS tools and documentation I could use and/or contribute to, and learn about them with a community of my peers working for the common good, instead of having to either take the megacorps at their word or just renounce anything "AI branded" altogether, which doesn't feel like a good long term strategy.
This is the whole problem, this take is disingenuous. Nobody who actually argues in good faith and knows what they're talking about, argues that LLM isn't a tool, or it's something bigger than that. The argument that is being ignored is that LLM is a tool that inherently has downsides that are bringing more "bad" than it brings "good" when it's useful. But proponents successfully argue that they can use LLM with some benefits, and act like they answered something, and any retaliation to that is unreasonable.
My favourite analogy is asbestos, and I say it as a huge disservice to asbestos. Asbestos is an amazing material that legit has many very important uses (way more than any LLM will ever have), but we're not using it because we understand that no matter how great of a insulator it is, and how nice it looks as snow replacement on a movie set, and how wonderful it is in a cigarette filter, the supercancer it causes kinda nullifies all that.
I think asbestos is a good analogy, but I think your claims that the inherent downsides of LLMs outweigh any possible upsides are as-yet unfounded. I also think it's kind of strange that you assume anyone who thinks otherwise is being disingenuous.
Maybe they are too dangerous for broad use, and we need to regulate them like asbestos, or uranium. Maybe they shouldn't be used outside of a laboratory setting or by anyone who doesn't have extensive training with how to interact with them safely. It seems pretty clear that Torvalds has decided they're worth the downside, and while I don't know if that's a good call, I don't think he's operating in bad faith to the detriment of the kernel project. That doesn't sound like something he would do.
I feel confident that I don't have the expertise to say for certain one way or the other, though the experience I do have with software tools makes me think there's probably an application for them where the downsides can be mitigated to the point where they become worthwhile. I think there's probably some single-purpose or tailored application of LLMs related to textual analysis that don't require the theft of the whole internet, and don't require insane amounts of energy to run. I don't think we have discovered them yet (at least I haven't), but saying "this kind of software is only bad and can have no ethical uses, ever" seems premature.
Well all I will say is that I do understand the usefulness of LLMs as tools, though I only really use them passively through search results, and always verify the results separately. And I have a fundamental understanding of how they work. While I understand what Linus is getting at in a practical sense, I worry he is putting his head in the sand regarding the heavy handed agendas at work in the implementation of AI as we know it now. And I think that is a definite bad thing to be ignorant of. I personally won't embrace "AI" until it is liberated from the agenda of power and inequality. Though, I cannot but accept its level of influence in daily life, and will attempt to understand and recognize if it fundamentally evolves or changes.
Edit: "they’re just new and selfish people will try to find an angle with them, same as it’s always been." Just wanted to add that yeah, its pretty highly focused in that way. And until society can fundamentally change, that is and always will be a huge problem applying such technologies. I mean shit, look at the fuckin internet.
I had enough of this "Big AI agenda".
Yes the oligarchs at the top are the most evil and corrupted people ever. Sure. Ok. Understood.
But what does it have to do with Linus and the kernel project ? He is not like vouching for them or even for their specific models. And it's not like there isn't open source AI models too. There is, and pretty good one at that.
But no, AI is the obligatory Claude code or chatgpt obviously...
Damn if only Lemmynautes could understand that we can't be dumb enough to consider AI as one big proprietary monolotic block. It is not and Linus is well aware of that.
And by the way, Linus I'm sure understand very well the agenda of the big evil corps. It's just not his problem. He is leading the kernel open source project. He is not involved in a crusade against AI and I'm so glad he will focus on that instead of "picking a side". If there is anybody I trust to use the tech effectively and pragmatically it's the kernel open source project.
It's not complicated truly, all AI models are not the same. They dont come from the same business, the same country, they don't have the same licence.
If we used half the energy we use to vociferate about big corps AI to actually create open source (and copyright respecting) models that would really improve the situation in the future.
It's more than time for the open source community to wake up and actually create their own models, built ethically and in accord with the OSS ethos.
Obviously, I'm well aware of the destruction of our planet by AI datacenters but again that is a problem for politicians, not freaking Linus Torvald.
I think if we, as a community, really put our heads together, we could figure out how to define and make useful user-respecting tools that incorporate LLMs. There are a lot of hard problems, like the massive power consumption, and the ethical use of data, that I don't really know how to solve.
I think a start would be to focus on making smaller, lower-complexity models that are built for purpose, rather than trying to make a jillion-parameter jack-of-all-trades trades model. I think it would also make sense to focus initially on areas where there are already large corpuses of freely available text, like all the writings in the public domain. But I don't really have a good idea of what these tools would be used for, exactly, which is where I'm stuck.
I understand and appreciate where you desire to go with it, I just don't see a current system to support it. Afaik people do make their own AIs/LLMs (recalling an artist's court case regarding the legitimacy of their work), but large scale LLMs do their thing by running roughshod and stealing tons of data and driving up hardware and electricity prices. It is difficult to see an environment where small models prosper compared their lawless corpo counterparts. It would probably be more beneficial to humankind, though.
Yeah, you put your finger on maybe the biggest problem that I don't have a good answer to yet. The ability to interact with LLMs in natural language comes from an analysis of huge tracts of contemporary human writing, and there's not an ethical corpus that can compare in scope to the corpus of just snatching the whole internet. Maybe they don't need to be strictly "natural" language interactions? Maybe a sufficient ethical corpus could be compiled and maintained somehow? I don't know, this is kinda where I get out of my depth.
The energy consumption can be measured, very approximately, by the cost of the tokens. If you design agentic tools to make use of fewer, cheaper tokens then you're likely also minimizing the energy usage.
How vague of a guess is that when people rely on those closed systems? We all know Corporate AI is hiding the actual costs with creative accounting while they enjoy abusing the environment...
Comparisons can be made using open AI models. I run some locally on my own hardware, I know exactly how much energy they use.
I wasn't talking about the closed source models you use. I was talking about the cloud ones you were just discussing.
And I said comparisons can be made.
If those cloud models are getting comparable results but using way more electricity, why would companies be running them? They like making profit, don't they? They're not some kind of Captain Planet villains chortling at being maximally wasteful.
We know the AI megacorporations are not profiting off it. Why would you pretend otherwise? Other you are very ignorant, or you're being dishonest right now.
Linus is a very practical man. If your code is good, ai or not, it's good, but if you use ai to break the userspace...
So they are going to autocomplete their takes based on the headline, I hope the irony isn't lost on them.
He doesn't really specify use cases beyond Sashiko (I believe that's the project they're discussing), which, if I understand correctly, uses an LLM to review kernel patches using a pre-set list of prompts. The output of those prompts presumably gets added to the PR for anyone who cares to read it.
These outputs sometimes have mistakes in them, so the maintainers must read them with a critical eye, but I think Linus is arguing here that it's sufficiently... "good enough" that including them is helpful to the maintainers, that it catches enough real stuff without wasting too much time on fake stuff. There are always tradeoffs when adding a tool to the stack, and sufficiently rare misfires are probably worth the times it catches real problems that humans miss.