@digitalnaiv@mastodon.socialIch nutze meist Perplexity oder ChatGPT statt klassischer Suchmaschinen. Schnell, kompakt, bequem. Aber auch fehleranfällig. Ein Blick auf Chancen, Grenzen und die Frage, wie viel wir Antwortmaschinen wirklich überlassen können und sollten. #LLM #KIAgenten
@thoralf@soc.umrath.net
@frankel@mastodon.top
@crell@phpc.social
@penguin42@mastodon.org.ukyesterday I upgraded my local #llm to qwen3.5 - and it works pretty well; this is using Unsloth's Qwen3.5-35B-A3B-Q4_K_M.gguf - I also had to upgrade to the latest llama.cpp (and it's got a few rough edges); but it seems as good as the Qwen3-Next-80B I was using, and it's also multimodal (with the mmproj gguf needed) and the multimodal is usefully fast at an image description on CPU only…
@seeingwithsound@mas.toLarge-scale model-enhanced vision-language navigation: Recent advances, practical applications, and future challenges #LLM
@frankel@mastodon.top
@stephane_klein@social.coop« Ma cartographie de l'écosystème LLM de mars 2026 »
#LLM
@UP8@mastodon.social
@nebucatnetzer@social.linux.pizza
@mgorny@social.treehouse.systemsLet's normalize calling anything output with an #LLM #slop.
It doesn't matter that you've only used an LLM to fix punctuation. It's slop.
It doesn't matter that you've spent an hour reviewing the slop to make sure it's good. It's still slop.
It doesn't matter that it's better than anything you wrote your entire life. It's slop.
If you didn't write it yourself, it's just a glorified LLM slop.
#AI #NoAI #NoLLM
@simon_brooke@mastodon.scot"If an #LLM trains on UK media and UK media has mentioned Farage 442 times against Greer's 27, the model reflects that. Not because of a deliberate choice, but because that's what was in the data." -- @…
The idea of people asking a
@crell@phpc.social
@penguin42@mastodon.org.ukA use of an #llm in a boring part of an interesting task; here's my prompt:
This is a C coding task. The file declares two classes, ScDPResultMember and ScDPResultMemberShim, where ScDPResultMemberShim just calls member functions in ScDPResultMember. Modify any member of ScDPResultMemberShim which calls a method that modifies the underlying ScDPResultMember so that instead of using mpM…
@almad@fosstodon.orgOh man, #LLM and licensing is going to he so much fun, does everybody miss ‘90s so much?
https://github.com/chardet/chardet/issues/327
@pavelasamsonov@mastodon.social
@hex@kolektiva.socialThere was a time when creating massive amounts of code would have been valuable. There was a time when lowering the bar for creating software would have been beneficial. But today we are inundated with garbage apps, written too quickly and never maintained, half-working libraries, projects someone took up once and abandoned (I have several), and grift startups just waiting to be acquired and "fixed."
#LLM code generation is a pestilence. We don't need more code owned by people who know less, we need less code managed by people who know more. It's literally the opposite of everything we want. Oh, but it will be easier for infosec to find bugs so it's fine, right? I've found critical bugs that never get fixed (I think one of mine is like 7 years old now).
There are a lot of bugs that just can't be fixed because there are no systems to fix them. Go on Shodan and look for ATGs. There are thousands of them. I'm betting that most of those are not honeypots. It may be possible to blow up a bunch of gas stations with a for loop, but, yeah, we need #AI to find some more bugs.
https://www.darkreading.com/ics-ot-security/fuel-tank-monitoring-systems-vulnerable-disruption
@crell@phpc.social @frankel@mastodon.top @seeingwithsound@mas.to
@paulwermer@sfba.social @PaulWermer@sfba.social @stephane_klein@social.coop« J'ai découvert l'offre "Go" de OpenCode et je compte la tester dans un projet en parallèle de Claude Pro »
#LLM
@crell@phpc.social
@stsquad@mastodon.org.uk
@maxheadroom@hub.uckermark.social
@wyri@toot-toot.wyrihaxim.us @pavelasamsonov@mastodon.socialThe claim "you won't be replaced by AI, but by a person using AI" is nonsense. The Block layoff victims were some of the most productive, #llm pilled people in the company, but it didn't save them, because that's not what layoffs are about.
The layoff script goes, as always:
- overhire
- lay everyone off
- pretend it's because of
@acka47@openbiblio.socialThis is so good, I love it: #llm
@stf@chaos.social
@tiotasram@kolektiva.socialInteresting LLM nuance: why does using phrases like "you're a pen-tester" cause chatbots to emit substantially different predictions, and basically "follow" that instruction? Because of how LLMs work, this implies that the training data has plenty of examples where real humans told each other that they were some role and the humans just immediately jumped into that role without question or intervening dialogue. But that's not something people do in normal conversation. Even in playing-with-kids contexts if you drop that out of the blue you're probably going to get "no I want to be a robot" or "but you were the elephant last time!" rather than immediate assumption of the assigned role.
It's possible that training LLMs to predict immediate role-assumption is something the big models spent a lot of manual effort on. But what I think is more likely is: it's the legacy of role-play forums! All those reams of pages of teenagers (yes, often horny) pretending to be Captain Kirk or their own incredibly cringe "cool" character (but honestly, why call it cringe, let kids be kids and have fun)...
So next time you "tell" a chatbot "you're a..." to get it to do what you want, I'm pretty sure you have an RP forum teen from the past to thank :)
#AI #LLMs
@penguin42@mastodon.org.ukJust used an #llm to explain a 166 line C compiler error; damn that's impressive. It almost makes sense with that explanation.
@benny@norden.social"Werden wir von ChatGPT empfohlen?" – Diese Frage höre ich in jedem zweiten Kundengespräch. 🎯
Das Problem: Die meisten können es nicht beantworten. Es gibt kein Search Console für KI-Systeme. Keine Impressions, keine Klicks.
Ich tracke das seit Monaten systematisch. Die Erkenntnis: Marken mit starkem Entity-Profil tauchen in LLM-Antworten auf. Der Rest wird ignoriert – egal wie gut der Content ist.
@hw@fediscience.orgThis paper argues that frontier models approximate tenure-level academic outputs in social science and humanities topics with "minimal engineering effort". They developed some custom agent skills to extract the qualities of individual scholars from their published works.
#LLM #AIResearch #academia
@mgorny@social.treehouse.systemsModern use of LLMs often involves giving them access to the local system: to read and write your project files, and to execute arbitrary commands, often unsupervised. So aren't people worried about a harness just doing what a remote #LLM tells it to do?
I think a statement I've heard lately summarizes the mindset well. It went something along the lines "I can't give you 100% guarantee, but I've noticed that LLMs are very good at following instructions, and they're getting better and better, so I don't worry about that anymore".
Like, it is completely fine to introduce a humongous security hole, because the probability that a model will *accidentally* do something horrible is decreasing.
#AI #NoAI #NoLLM #security
@draxil@social.linux.pizza @crell@phpc.social @pavelasamsonov@mastodon.social"AI is writing 90% of our code" sounds impressive before you realize that AI-generated code is orders of magnitude more verbose & less efficient than code written by a professional software engineer.
But "we ship 9 lines of fluff for each line of code that does something" doesn't sound as impressive.
#LLM
@galaxydinodragon@social.linux.pizzaWas talking to Claude about ration packs... And it randomly spat out what appears to be Lufthansa's privacy policy in Portuguese...
Starts out "Introdução
Nós, o Grupo Lufthansa ("nós", "nosso", "nos"2, "nós mesmos"), estamos comprometidos com a proteção de seus dados."
#claude
@whophd@ioc.exchange @stephane_klein@social.coop« J'ai découvert snip et rtk et testé rtk (reduce LLM usage) »
#TIL
@almad@fosstodon.org#LLM saved me one hour of writing and all it took was two hours of your review!
@DGIInfo@openbiblio.socialSchlauer, als die #KI erlaubt?
#Anthropic, der Entwickler des #LLM #Claude, hält dessen aktuelle …
@tezoatlipoca@mas.to @mgorny@social.treehouse.systemsI truly believe that LLMs are the worst thing that happened in IT over the recent years (or well, the culmination of the worst thing that's been poisoning the IT world), and I wholeheartedly support all the subversive actions against it, ranging from poisoning the training data to abusing support chatbots to make them unprofitable. However, at the same time I realize that all these actions are increasing the environmental harm caused by the #LLM folk.
It's like true guerrilla warfare. We're metaphorically burning down buildings, and I hate that it had to come to that.
#AI #NoAI #NoLLM
@crell@phpc.socialWhy do we let the greedy capitalists do this to our industry?
#LLM
@hw@fediscience.org @seeingwithsound@mas.to @stephane_klein@social.coop« J'ai découvert snip et rtk et testé rtk (reduce LLM usage) »
#TIL
@crell@phpc.social @almad@fosstodon.orgI don’t think #LLM capabilities are where this article thinks they are, but I do think this is an interesting economical thinking exercise nevertheless
https://www.citriniresearch.com/p/2028gic
@digitalnaiv@mastodon.social @penguin42@mastodon.org.ukThe 'thinking' from a local Gemma 4 #llm reading bad handwriting is fascinating - I told it not to interpret stuff, it mostly didn't; but look at this thinking!
'Actually, looking at the 'e' in "the", it's a loop. The 'x' in "co-ax" is a cross. The letter in "axial" is a loop and a stroke. This is a very messy 'x' or a v…
@pavelasamsonov@mastodon.socialLLMs have no concept of "true" or "good." But they are trained to signal high-quality work. Meanwhile, bosses are pressuring workers: go faster, produce more, let the AI cook.
Study after study documents what this does to the human brain: cognitive surrender. We're "in the loop" but the bot calls the shots.
Read more in this week's issue of the Product Picnic newsletter:
@mgorny@social.treehouse.systems @stephane_klein@social.coop« Comment je me renseigne sur un nouveau modèle LLM en 4 étapes »
#LLM
@maxheadroom@hub.uckermark.social @crell@phpc.social @hex@kolektiva.socialI was in the process of writing a short story when all this talk of #LLM spellchecking came up. So I wrote a story that you can't actually use an LLM spellchecker on because it breaks them:
#Writing #Fiction #SolarPunk
@stephane_klein@social.coop« Comment je me renseigne sur un nouveau modèle LLM en 4 étapes »
#LLM
@tomkalei@machteburch.socialWanted to report on my (concluded!) auto-formalization #lean project.
The blog post got a bit lengthy and it is only part 1: "What actually happened?"
It took about 2 months to go from zero to a full lean formalization of a paper of mine. I only steered the LLMs and checked the interface to human mathematics (statements and definitions).
I am positively surprised and I do think this will change (my) research math. Ask me anything about it!
#llm #claude
@seeingwithsound@mas.toExploring the use of VLMs for navigation assistance for people with blindness and low vision #LLM
@almad@fosstodon.org @crell@phpc.socialMore fallout from the chardet AI licensing kerfuffle.
#AI
@mgorny@social.treehouse.systemsYesterday, I've read a vibe coded script for the first time in my life, and I've cried.
It wasn't ugly. "Ugly" is not the right term. It was as if someone wasn't able to comprehend beauty, but badly tried to mimic it. It felt like "malicious compliance" to beauty. The kind of awful verbose pedantry that feels wrong every step of the way.
It's the kind of code you'd expect in a corporate environment when you know that the code would be read by the top suits who have no idea about coding, but judge it by the volume and expect science fiction level of make-believe.
It's the kind of code is abstracted away into the tiniest details. Every function returns a complex dataclass explaining precisely what it did, for no reason at all. What would be two lines of code is a function. What would be a function is a whole module. It's a caricature of good programming practices.
I was supposed to add modifying a second field on the same object via GitHub API. I've guessed it would take me about an hour to figure out the code enough to be able to do that — what ought to be 2-3 extra lines. I suspected I'd discover that most of the code does precisely nothing. Just meaningless API exchanges that are absolutely unnecessary. It felt like the kind of parody of bureaucracy where you have to file 10 forms to do something, and only one of them actually means anything.
What used to be "do one thing well" became "doing ten totally random things is fine, as long as one of them happens to be what I need, and the whole thing doesn't blow anything up in an obvious way".
Perhaps it's just because this way a throwaway script. Maybe "production" stuff takes more, err, prompt refining? Maybe it actually can produce stuff that's comprehensible.
But if that code was any indicator, then I'm not going to believe that any big LLM contributions are actually reviewed by humans. A review will take more time than rewriting from scratch. This is a ticking time bomb. That LLM-generated code isn't introducing exploits right now is either a statistical accident, or it's just that nobody bothers.
Clarification: I didn't "prompt" it or request one. I'm not a hypocrite.
#NoAI #NoLLM #AI #LLM
@almad@fosstodon.org @pavelasamsonov@mastodon.social @stephane_klein@social.coop« J'ai découvert le modèle Open Weights GLM-5 »
#LLM #OpenWeights
@mgorny@social.treehouse.systemsI'm still thinking about a longer blog post about LLMs, and one of the things I keep thinking about them is how they not only cause direct harm to the community, but also make people more suspicious of one another. And then I've been pointed out this text:
"I'm Kenyan. I Don't Write Like ChatGPT. ChatGPT Writes Like Me."
"""
I am a writer. A writer who also happens to be Kenyan. And I have come to this thesis statement: I don't write like ChatGPT. ChatGPT, in its strange, disembodied, globally-sourced way, writes like me. Or, more accurately, it writes like the millions of us who were pushed through a very particular educational and societal pipeline, a pipeline deliberately designed to sandpaper away ambiguity, and forge our thoughts into a very specific, very formal, and very impressive shape.
"""
#AI #LLM
@seeingwithsound@mas.to[OT, Forbes] The state of the $1.7 trillion AI bubble: the end of thinking https://www.forbes.com/sites/gilpress/2026/02/27/the-state-of-the-17-trillion-ai-bubble-the-end-of-thinking/
@almad@fosstodon.orgThe more I listen to the industry, the more I think software quality may be enough of a differentiator in the future to offset some of the #LLM damage
@crell@phpc.social @stephane_klein@social.coop« Anthropic sous-vend-il ses abonnements ou surtaxe-t-il son API ? »
#llm
@pavelasamsonov@mastodon.social @mgorny@social.treehouse.systems @mgorny@social.treehouse.systems @crell@phpc.social @stephane_klein@social.coopJ'ai découvert MimiMax M2.7, qui semble équivalent Š GLM-5 pour un tiers du prix
#TIL
@mgorny@social.treehouse.systemsLet me tell you a parable.
There was a student who was given as assignment of writing an essay. The student found 10 similar essays online. He copied selected bits of different essays. He tediously reworded the result, removed some sentences, added some adjectives and adverbs, shifted some more sentences, added some glue — all with the single-minded goal of covering up the tracks. Eventually, a voluminous essay was complete.
The student has put a lot of effort into this; possibly even more that if he had written it himself. He did learn a bit about essays, though he didn't really practice writing one. He did practice some skills that would be useful in a future bullshit job, though. The essay passes all #plagiarism checks, even though it immediately raises red flags to any human reading it: the sudden style changes, contradictory statements, sentences that don't make much sense in their context. And if he was asked to defend it, he might be in trouble.
So, the student put an effort (though not the right kind of effort), produced a mediocre essay and learned something (though bullshit skills rather than creative skills). Now let's consider a different situation: rather than doing all that himself, the student paid somebody else to do it; and not to *write* an original essay, but to do all the shenanigans described above.
That's precisely what using LLMs is. You tell them to write an essay, so they find and mix random stuff, and produce a mediocre essay. You don't put an effort, you don't learn anything, perhaps you don't even read "your" essay. And it passes all the plagiarism checks.
#AI #LLM #NoAI #NoLLM #chardet
@crell@phpc.socialA standard that requires almost $300 to read is not a standard. It's extortion.
Looking at you, ISO...
#AI #LLM #ISO #Standards
@crell@phpc.socialRE: #AI
@mgorny@social.treehouse.systemsThe key takeaways from the early part of the #chardet thread (I didn't read beyond the ~30 first comments, I have my limits).
1. People there love cosplaying lawyers. Except when the other side also starts cosplaying lawyers, in which case they suddenly divert to suggesting asking professional lawyers.
2. Almost nobody there is concerned with ethics or morality.
3. There's a lot of GPL haters there. Like, they seem the kind of people who don't really care about licensing at all, just used MIT in their projects because it was cool and they heard something about license incompatibility and now bash at everything that's (L)GPL.
4. People don't get that LLMs are statistical models and can't build anything from the ground up. All they can do is remix, which implies they use existing code for inspiration.
5. The maintainer who did the rewrite is a total asshole, and is perfectly aware of it.
Honestly, I'm truly waiting for the subsidizing to end and companies start charging obscene amounts for the use of LLMs. Of course, the reality is that we're totally fucked. We have a lot of projects that adapted a lot of #slop, and people who are being increasingly addicted to this shit. The moment they can't afford it, we'd be left with lots of broken code nobody wants to maintain.
And I definitely don't want to put my effort into packaging crap if its maintainers don't even bother trying.
#AI #LLM #NoAI #NoLLM
@mgorny@social.treehouse.systemsSo how you'd feel if you learned that the guy from whom you've been copying all your homework recently, has been not-so-secretly helping fascist governments commit genocide? And he's quite proud of it too.
Oh right, you'd just say "it's not like doing my own homework will change anything". And then you'll give him your lunch money.
#AI #LLM #NoAI #NoLLM #Claude #Anthropic
@mgorny@social.treehouse.systems @mgorny@social.treehouse.systemsIn the era of #LLM psychosis, it's important to emphasize that it is fine to talk to yourself.
Your own brain is entirely capable of being a sounding board. It can provide a second and a third opinion. It can look at things from another person's perspective. It can simulate complete complex interactions. And it can do all that in the privacy of your own head, with no extra energy cost. And it can give you a deeper understanding of yourself.
You don't need chatbots for that. You don't need to lean on their nazi owners. You don't need to pay for them, you don't need to share the intimate details of your life, you don't need to burn the planet in the process. You won't get hurt accidentally, you won't get abused or blackmailed. And your brain won't leave you helpless when someone suddenly decides helping you isn't profitable.
#AI #NoAI #NoLLM
@mgorny@social.treehouse.systemsSo I wanted to write a longer #NoAI piece but apparently my blog is down (and this time, miraculously, it might not be #AI scrapers), so I'll give you a sneak peek of what I wanted to say in the more hyperbolic part on how the #LLM discourse has all the common features of libertarian discourse.
"According to Google, LLM-backed searches don't consume much more energy than regular searches" [ignoring model training, surely.]
− According to carbrains, cars are actually cheaper than public transport, provided that you compare gasoline cost with ticket prices, and ignore the cost of buying and owning a car. Not to mention all the indirect costs of space waste (roads, parking lots, garages), environment pollution, accidents…
"AI is just a tool, people decide if it's used for good or bad."
− Ah, yes, and "guns don't kill people."
"AI has its uses."
− So does asbestos.
"Let's not judge contributions by whether they were created using AI, but on their actual quality."
− "Let's not judge contributions by whether they were created using slave work…"
"I do not use AI myself, but I don't want to block others."
− "I do not keep slaves myself…"
#NoLLM #hyperbole
@mgorny@social.treehouse.systems @mgorny@social.treehouse.systemsThe bright #LLM future, next part.
git.gentoo.org is now effectively dead, being DDoS-ed by almost a million different IPs every day. Most of them are just performing a single request at a totally random URL. How are people supposed to deal with that? How can we distinguish a legitimate user who hit some URL from a scraper that distributes its operations over thousands of IP addresses?
If you use LLM crap, you're part of the problem. You support these bastards. You should be ashamed of yourself.
#Gentoo #NoAI #NoLLM #AI
@mgorny@social.treehouse.systems @mgorny@social.treehouse.systemsIsn't it ironic that we've moved from "you need special skills to be a programmer" to "everyone can learn to be a programmer", to "everyone can use an #LLM to be a programmer", and now because of all the deskilling we're going to circle back into "you need special skills to be a programmer".
#AI #NoAI #NoLLM
@mgorny@social.treehouse.systems @mgorny@social.treehouse.systemsTech companies seem to be running a cycle:
1. They don't realize how much they're relying on volunteer-maintained projects.
2. Something bad happens and they suddenly decide they need to support this critical infrastructure, often by hiring some people behind it and making its maintenance part of their dayjob.
3. They realize they could save money by exploiting volunteers to maintain these #OpenSource projects. They lay workers off or move them to other projects.
4. Go to 1.
Except now they're trying to replace workers with slop machines, deskill everyone and basically they're not only poisoning the well, but killing the whole water cycle. And they're realizing that they just gave the bad people a tool that can quickly find just how vulnerable their critical infrastructure is.
Really appreciate the long-term thinking there.
#FreeSoftware #FLOSS #TechBros #AI #LLM #NoAI #NoLLM #Linux #security
@mgorny@social.treehouse.systems
