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I recently switched to #kdeplasma. I'm impressed! I even managed to get #Wayland working with my #Nvidia card (with the help of an #LLM). I stopped using KDE over 20 years ago, but it was my main #Linux desktop for years. It's the complete opposite of #Gnome or light DEs like #XFCE. I'm really enjoying it. It's refreshing to have a #desktopenvironment that doesn't treat me like I'm too stupid to deal with options. Anyway, KDE is really good!
The #EuropeanCommission advertises as "open-source" an #LLM which -by their own call- need only provide, "where applicable, the release of open weights, .. OR .. technical documentation" [1].
So the result is open-weights at most, and would not even satisfy the OSI Open Source AI Definition (#OSAID 1.0).
This is not the first time the EC's claims don't survive scrutiny.
An institution funding "sovereign AI" at scale should know the difference.
#LLM agents violate Hammerstein's Law, clause 4:
"One must beware of anyone who is both stupid and hardworking; he must not be entrusted with any responsibility because he will always only cause damage."
#Firefox #AI #Chatbot feature exposed users to #email theft risk
https://cyberinsider.com/firefox-ai-chatbot-feature-exposed-users-to-email-theft-risk/
RE: https://social.wildeboer.net/@jwildeboer/116775461671762518
I've known about this back in early 2024 and it was pretty awesome first time I tried it, albeit with a really small model since I only had a 1050 Ti, Ryzen 3 1300X and 16 gigs of ram back then. I was getting like < 5 tk/s.
I mean it's to be expected but it's better than nothing when we don't have internet which happens sometimes.
This stuff's been out there for a while that I'm a little surprised people are only catching up with local stuffs
If you hit a writer's block, it's because you don't know something. Learn something!
And don't for the love of god try to fix it by using a fucking #LLM
Почти хороший документ от SFC про рекомендации касательно LLM в FOSS проектах.
https://social.sfconservancy.org/objects/3ac6d3b8-798b-4d85-91a1-7103abe76548
Почему "почти"?
Потому что практически все пункты стараются балансировать между "pro-AI" и "anti-AI" позициями, но первым пунктом стоит:
The FOSS community should support, not just tolerate, those who outright reject LLM-gen-AI systems
А вот почему-то про поддержку тех, кто пользуется LLM ничего не говорится.
В целом я могу понять это и принять как политический поклон в сторону тех, кто устраивает истерику, но если заглянуть к ним в комменты, то видно, что это всё равно не помогло:
LOL WTF NOPE
FOSS projects should not shun contributors who choose to use LLM-gen-AI systems.
🤡
kinda stopped reading after
There are many intersecting ethical and moral issues regarding these systems, many of which are not currently fully understood
They are well understood and visible
I'm going to state this very clearly:
Projects/communities have an absolute right to exclude people whose behaviors they deem unethical, unsafe, or hostile from participation.
And deeming LLM-gen-AI use as unethical is a completely reasonable position.
Они для себя всё уже решили, сколько ты их ни пытайся уважать и не раскланивайся.
Меня, если честно, именно вот это желание всех неугодных выгнать и в гетто согнать от тех, кто декларирует высокую мораль и раздражает. По модулю они ничем не отличаются от того, чем клеймят тех, кто им не угодил.
Я бы ради общего блага и сообщества FOSS без проблем бы пошёл на компромиссы и уважительное отношение даже к тем, кто пользуется самыми тупыми аргументами.
Пойдут ли эти люди на компромиссы в отношении тех, кого объявили вне морали и этики?
#thought #log #SFC #LLM #GenAI #FOSS #dev #politics #radicalism
> While it was surely unintentional, your reply is quite similar to the cruelty of traditional #FreeSoftware rhetoric — wherein we shunned people for using #Apple & #Microsoft. Such users deserve sympathy and help toward more software freedom.
>
> Same goes for #LLM-backed generative #AI users.
Sorry, I usually really value your opinions on stuff, as you tend to run contrary to the so-pragmatic-they'd-pimp-their-own-mothers attitude that is far too prevalent in (F)OSS, but hard disagree.
There's a big difference between knocking someone for using a MacBook and knocking someone for using an LLM.
Using a MacBook harms the user in ways that are somewhat debatable. Its harm outside of the user is very negligible and even more debatable.
Using LLMs harms us all. I don't doubt that there are valid and ethical applications for LLMs in many sectors, but you don't build a giant baby shredder on top of an indigenous burial ground and then suddenly pivot to saying, "But wait, it can process potatoes, too!"
If we're not talking about the theft of human creativity, the theft of potable water, the theft of human labor and wages, the promotion of über-fascist plutocrats, and all of the other horrendous harms associated with LLMs, then we're not talking about LLMs. We're engaging in some kind of fantasy roleplay.
Respectfully,
—Some dingbat named Dane, or something, who loves humanity and freedom.
In a policy statement¹, @conservancy said:
> “#FOSS projects should not shun contributors who choose to use LLM-gen-AI systems.”
@dalias' reply:
>> “LOL WTF NOPE. 🤡”
While it was surely unintentional, your reply is quite similar to the cruelty of traditional #FreeSoftware rhetoric — wherein we shunned people for *using* #Apple & #Microsoft. Such users deserve sympathy and help toward more software freedom.
Same goes for #LLM-backed generative #AI users.
¹ https://sfconservancy.org/llm-gen-ai/llm-backed-generative-ai-recommendations.html
When you're building software aimed at a niche related to hype, the only thing you can do is hook people onto it. I mean, you're targeting the kind people who have an attention span of a fruit fly. Unless they're literally addicted to your software, they're going to forget it as soon as they notice the next shiny thing.
I've been trying to minimize my use of LLMs, but as a software engineer there are some tasks that are way easier, so it's hard to cut out completely.
So I've started paying for Ollama so I can use open source models (glm5.2, kimi-k2.7) in the cloud whenever possible.
Works with claude code and codex etc. too.
Using Ollama instead of claude or chatgpt means my data is private, my prompts aren't being used to train models, nor is my money.
Some people think that #LLM usage costs rising will start undoing some of the harm caused by the #AI hype. I don't think that's really going to help that much.
I'm not even talking about all the projects that were ensloppified and enshittified already. I'm not talking about all the technical debt. I'm not talking about all the forks that will have to be maintained forever. I'm not talking of all the projects that were abandoned because of burnout, or because they were only hype-oriented. And I'm not talking about all the corporations that will continue submitting slop.
I'm talking about the loss of trust. After all, we're not talking of people who realized they were wrong and are sorry. We're not talking of people realizing that it was wrong to forfeit ethics and morals in the name of "productivity". We're talking of people who are jumping ships because their previous approach turned out not to be profitable anymore. We're talking of gamblers who left the casino because they went broke. They aren't sorry that they gambled; they are sorry that they've lost. And they'd be happy to do it again at the nearest opportunity.
So, I'm sorry to say, but #FreeSoftware is never going to be the same again. A lot of people have shown their true colors, and I won't forget that.
GLM 5.2 is really ripping it in benchmarks. For being roughly Opus-tier it's not as big as you'd think (~750B-A40B). All those bastards that shelled out for a 512GB mac studio can run it at home.
Given these days you can't even expect #Gentoo contributors to be respectable, I'm working on adding a git hook that rejects commits with #LLM attribution. Could you help me find all the common patterns used to mark LLM-assisted #git commits?
So far I'm checking for author and Co-authored-by using the following e-mail patterns:
• copilot@github.com
• *@anthropic.com
• claude@users.noreply.github.com
• *+claude[bot]@users.noreply.github.com
• *@openai.com
• *+chatgpt-codex-connector[bot]@users.noreply.github.com
• *@cursor.com
• *@x.ai
• *@google.com
I think some people came up with some other tags to mark LLM commits but can't find that right now.
EDIT: added Assisted-by.
some time ago i (half) joked that the only job #llm can replace outright is the CEO.
today i attended an earnings call where a synthetised voice of our CEO read multi-page long table of numbers from an official financial document, according to a script prepared by claude, over a single slide titled "company earnings 2025" - to a room full of employees who commuted to the office to watch it in person. there was no management present or even shown on the screen.
it was the most disturbed dystopian fucking thing i've experienced in my career of working for soul-crushing corporations.
What a good read!
> A growing economy used to be a rising tide that lifted all boats. Post-AI, it may only lift a handful of yachts.
It's really long, but very well worth it. Puts some real substance and lessons from history against arguments, to try and paint an extrapolated picture of what #BigAI will likely do to us and our society.
**A true risk that #AI poses to liberal democracies.**
https://matthewbutterick.com/extinction-level-capitalism.html
LLMs don't "know" anything. They're just guessing the next word. 🤯
But that guess is built from 100B+ parameters, trained on basically the internet.
We explain how it works, why it lies sometimes, and how to run one (Gemma 4 / Qwen 3.6) on your own PC.
https://geekrealmhub.com/what-is-llm-guide-large-language-models-local-ai/
I don't like #AI. I think it's problematic in a lot of ways, that I won't repeat here as I believe you heard these (very much true) arguments 100 times.
But #DuckAI helped me quite a lot yesterday, and I don't know how to feel about that. By curiosity, I made it write #elisp code to create new useful commands for #emacs which will help me in my everyday work (for example `C-c m` now creates a PDF using `pdfmom -k` so I don't have to use a terminal at the same time when I use #groff, `C-c t` adds `/|` before some punctuations signs following French typographic rules, …). These functions are very simple, most of you here could have written them by hand in less time than it took me to write the prompts, but I'm no developer, and don't have the time to become one, unfortunately. They work as intended (I can control that as, again, they're simple things), and I more or less understand them, as the #LLM described them. I even asked it questions to understand some parts of the code, and it answered (correctly it seems; I checked and as far as I can know, its answers seem legit), so I was able to modify them by hand to fine-tune them. One was wrong, but when I sent it the error message, it corrected it and explained the error to me.
It didn't feel like I was relinquishing brain power; in the contrary I learnt things. I could have done that by hand, and I would have learnt far more, but it would have taken months and I don't have months: a bird in the hand is worth two in the bush.
I still think that LLMs are a problem for our societies, but even more so than I thought as it seems to be actually useful in some cases.
Anthropic has suspended access to its latest models, Mythos 5 and Fable 5, for all users after the US government demanded that non-US citizens, both in the US and abroad, should not be able to use the LLMs, citing national security concerns.
It doesn’t matter if it works - by Henry From Online
https://henry.codes/writing/it-doesnt-matter-if-it-works/
Deskilling:
https://en.wikipedia.org/wiki/Deskilling
"In economics, deskilling is the process by which skilled labor within an industry or economy is eliminated by the introduction of technologies operated by semi-skilled or unskilled workers. This results in cost savings due to lower investment in human capital, and reduces barriers to entry, weakening the bargaining power of the human capital."
I've seen where Torvalds said that he considers them as just another tool in the Arsenal, he doesn't really care, if the code is good.
He doesn't want his time to be wasted He'll scream and shout if an LLM creates that time pit
These following words an extreme version of me would say
It looks like you will have to stop using Linux. Since from your perspective anything that uses remotely an LLM is bad, you will have to stop, otherwise you will contribute to the environment being destroyed willingly and actively
In practice that is impossible. If you drive a modern car it has the Linux kernel. If you have a smart TV or more you're also using the tainted kernel. Even if you have a stick which also streams or a camera you will have a Linux kernel in many cases.
These LLMs are an infection of the planet's code base
Since you're already using BSD a solution would be to cut using Linux on your computers drastically
Point me please, to projects which are heavily dependent on LLM code generation which are older than 10 years.
The Linux distributions I use, have no code which is 100% LLM generated
Computers used to be fun. I used to use Windows 9x, and it was unstable as hell, and you kept having to lean over backwards to get things to work. Then I used bleeding edge Linux, and at some point I've ended up running pure framebuffer tty for months because X11 was broken. But despite all the breakage (or maybe even because of it), it was fun. It was fun because random accidental breakage was the worst you could expect.
Nowadays, accidental breakage is rare. Things are relatively stable. However, every step of the way you have to watch out for bad actors. No, not criminals, they are rare. Evil corporations who are looking at every opportunity to fuck you up. Using computer is no longer fun, it's no longer a tool that helps you, and it's no longer your choice. You are forced to use it, and if you don't want to be hurt every step of the way, you have to spend all the effort on fighting back. And you're fucked up anyway, because even if you manage, your family and all the people around you won't care and will let their devices, their computers and their smartphones fuck you up.
I've started using FLOSS so many years ago, for the trivial reason that I didn't want to pay for software. I stayed because I enjoyed doing it. And I wanted to make a difference, I wanted to contribute positively to the world. Even if in a little way, but I wanted to be able to say that as much harm I've done to the planet, there's at least something positive to balance it out.
But nowadays I hate FLOSS. It's been overrun by the worst people in the world. The people who aren't happy with just fucking you up. They want everyone to keep fucking everyone up. It's the kind of horror where whatever you do, it turns out you're causing harm.
I don't trust my #Gentoo #packaging work anymore. So much of the software I touch turns out to be #slop. When I file a pull request, I'm worried it will trigger #LLM reviews. When I file a bug, I'm worried it will trigger LLM responses. And today, I've learned that my old bug report to a #NoAI project resulted in a dozen slop pull requests already. Whatever you do, #AI folks smile and tell you "see, you fucked up the world even more after all".
Honestly, I don't know what to do. I hate all of this so much. But even if I managed to figure out something else to do for a living, I can't escape computers. And if I stop doing them, if I stop fighting them, I will only end up being fucked up more.
So when #Anthropic can't buy #GNU Toolchain project wholesome, it can always buy its developers.
Oh wait, this mail that starts with Anthropic marketing bullshit is not "an endorsement of Anthropic". And you're not permitted to criticize him.
https://sourceware.org/pipermail/libc-alpha/2026-June/178028.html