#llms

„Große Sprachmodelle – im Alltag oft mit KI gleichgesetzt – produzieren Text. Sie tun nichts anderes. Dass aus dem Text eine Anweisung wird, die auf einem Computer oder in der physischen Welt ausgeführt wird, dafür schreiben Pro­gram­mie­re­r*in­nen eine ganz gewöhnliche Software. Diese braucht es sogar für den trivialsten ersten Schritt, nämlich den Text in menschenlesbarer Form auf einem Bildschirm darzustellen. Wenn die KI-Firmenchefs also behaupten, ihre KI habe einen Computer gehackt oder könnten sogar den Weltuntergang auslösen, dann bedeutet das in erster Linie: Sie haben eine Software programmiert, die diese Fähigkeiten besitzt. Sie haben außerdem eine gewöhnliche, abschaltbare Software geschrieben, die den Ausgabetext eines großen Sprachmodells scannt, als Computerbefehl interpretiert und diesen dann ausführt – sei es, um durch das Internet zu surfen, die Räder eines Autos anzutreiben oder eine Atomrakete zu starten. Das Sprachmodell selbst kann nichts davon.“ „Die Software basiert auf einem massenhaften Klau von urheberrechtlich geschützten Werken. Sie trägt zur noch rasanteren Ausbreitung von Desinformation bei und zu einer finanziellen Überdehnung des gesamten Sektors. Hier wird inzwischen auf Profite spekuliert, die mathematisch kaum möglich sind. So riskieren wir eine weltweite Wirtschaftskrise. Es gibt also sehr viele gute Gründe, sich weltweit zusammenzutun, um den Techkonzernen die Stirn zu bieten. Aber keiner von ihnen ist ein superintelligenter Roboter, der die Weltherrschaft an sich reißt.“ https://www.taz.de/!6214506 #KI #generativeAI #generativeKI #LLMs

https://cleantechnica.com/2026/09/28/the-human-cost-of-data-center-pollution/ Fuck Generative AI, coz: largest theft of private IP in human historymassive water + energy demands as climate crisis intensifies authoritative bullshit generation via unsolvable hallucinationswhole-internet continuous DDoS attacks by web-scraping AI-feeding bots #AI #LLMs #FuckGenerativeAI #FuckTechBros #CredulousFools #IPTheft #AntiAI #NoAI #Hallucinations #ClimateCrisis #BiodiversityCrisis #SocialDestruction #FuckCapitalism #weareselfishcruelbastards #wearetotallyfucked #AsteroidNow#USPol #TuckFrump #FuckRWNJs #magamorons #FuckChristoFascists #FuckAllReligion #OrangeOaf #HeyFascistCatch #FuckTrump #FuckCapitalism #FuckNeoliberalism #FuckFascism #FuckAroundAndFindOut

here's a take i don't think i heard yet: the better LLMs are, the *more* they're dangerous. not because they can "go rogue", nothing like that. rather the better LLMs are, the likelier people are to trust them. you'll never use an LLM that's wrong half of the time as a search engine, but one that's only wrong 10% of the time might be good enough. you'll never use an LLM that's wrong 10% of the time to automate your job, but one that's only wrong 1% of the time might be good enough. you'll never hook an LLM that's wrong 1% of the time to a nuclear weapon. but one that's only wrong 1‰ of the time might be good enough. stochastic parrots don't get less dangerous the more their output aligns with reality. the opposite is true: since the biggest danger a stochastic parrot poses is a human trusting one to make decisions, a dangerous LLM's the one that's more convincing and less likely to be caught during testing. in classical AI safety research there's a lot of talk about a smart AI Volkswagening during testing to make itself seem safe, with all sorts of calculations for the odds such an AI will show its true form in any given attempt and yada yada. but what that classic research didn't seem to take into account is that an "artificial intelligence" doesn't need to actually be intelligent to replicate the same behaviour. a machine that sometimes appears safe and intelligent and sometimes doesn't can mislead you just as well, without having an evil plan or even the capability to come up with one. and just like a machine that's evil needs to appear good just often enough to convince you it isn't, a machine that lacks intelligence needs to be right just often enough to convince you it doesn't. #LLM #LLMs #AI #genAI #FuckAI #AIWWIII #OpenAI #Anthropic #AISafety #StochasticParrot

What is EHS? Well, let's say you were trying to determine the average height. You could formulate a hypothesis that everyone Is 6 feet tall. Then measure people against that, and then use the error to update the set of reasonable hypotheses. This is basically what Bayesian data analysis is. EHS is similar, but you're basically forming a hypothesis, attempting to prove something by it, finding the contradiction, and then using that to form the next one. This existed before #LLMs, the first time I was aware of it was for the four-color theorem.

🤭 The Copilot+ PC brand is dead: Microsoft and PC makers quietly pull back on tarnished Windows 11 AI PC branding https://www.windowscentral.com/microsoft/windows-11/the-copilot-pc-brand-is-dead-microsoft-and-pc-makers-quietly-pull-back-on-tarnished-windows-11-ai-pc-branding #tech #technology #BigTech #IT #AI #ArtificialIntelligence #LLM #LLMs #ML #MachineLearning #GenAI #generativeAI #AIAgent #AISlop #FuckAI #Fuck_AI #enshittification #microslop #microsoft

Apparently some Anthropic researcher is going around explaining LLM language tendencies and styles by comparing them to autistic people. Unacceptable. *Very* not cool. We've already had enough of this crap, being compared to computers and robots. We aren't fucking language models. We are living, breathing, multifaceted *human beings* who happen to have a different wiring plan than the majority of other human beings. Learn the fucking difference and stop comparing us to automated, unfeeling, unthinking, non-conscious, unnuanced, unnatural systems. #autism #LLMs #AI #GenAI #ActuallyAutistic #Anthropic #Claude

The cost of operating these machine learning systems is too high, and the benefit too low: forbes.com/…/ai-costs-more-than-the-people-it-rep… economictimes.indiatimes.com/…/131397973.cms cybernews.com/…/ai-token-human-salaries-automatio… The most productive thing the current generation of machine learning systems has done is fill the Internet with garbage: pcworld.com/…/ai-is-filling-up-the-internet-with-… futurism.com/…/over-50-percent-internet-ai-slop mashable.com/…/ai-generated-internet-era-already-… LLMs are real, AI is fake. pluralistic.net/2026/09/12/god-in-the-box/#llms-a… The current trends in software development are being driven primarily by the interests of venture capitalists who are trying to escape the debts they acquired buying into Web 3.0 (remember Web 3.0?), the Metaverse/VR, and cryptocurrency. They’re looking for the next big get-rich-quick option, and manipulating the market to try and force it to happen. The people making decisions about which projects get funded literally do not care if the end product is useful or destructive or whatever, as long as it looks convincing enough to get other people to buy it. This is why there’s been so much recent hype about “AI” “escaping” its test environments and hacking other companies &etc. It makes the product sound more capable than it is in reality. It’s also why the Trump administration is all-in on “AI” development and actively threatening people who object - because Trump loves a good scam that he can make money off of, and he loves to respond with violence or threats of violence when people get in his way. The current generation of machine learning models requires vast amounts of input data to achieve useful outcomes. The entire content of the publ8c Internet has already been ingested. There is no more training data to feed in. The current systems will gain marginal improvements in efficiency and in focusing the models to perform better at certain tasks, but that will be it. They will not magically become capable of learning new tasks for which there is not millions of data points for training. The training is done, refining is in progress, but there will not be any major leaps in capability. There certainly won’t be a general artificial intelligence. Maybe the next generation of machine learning will produce software that can teach itself without an Internet’s worth of input data. That will happen after the current market implodes, and another generation or two of research and development is completed.

I work in Corporate IT and I was interested today to overhear someone on the phone mention how everyone was worried that OpenAI's product had recently "gone rogue". As a department secretary I'm delighted not to have to invest any emotional energy in an industry myth propagated by the terminally irresponsible people who run OpenAI, who are even now trying to shift that irresponsibility onto their product, so that somehow IT will go to jail, not THEM 😂 https://pluralistic.net/2026/09/12/god-in-the-box/#llms-are-fake@pluralistic@mamot.fr

Hmm, now what? Is there #Privacy or is there no privacy? They soon know everything about you, be it #Siri, #ChatGPT, #Claude, #Gemeni or whatever #LLMs are out there. And then, they own you. https://www.apple.com/legal/privacy/data/en/ask-siri-dictation/ #LLM #AI #NoAI #DataSecurity #Security #DataProtection

I just need you to know that if anything happens to Altman, Amodei et al, it was their own "AI" going rogue, it was not any of us humans. #AI #noAI #LLM #LLMs #robotApocalypse #technofascism

As someone whose published work has already been ripped off by Anthropic** for unagreed, uncompensated, use in their LLM training models, I found Albanese‘s remarks on copyright protection of creative work distressing: “There’s a way through this” for people to still have control & for there to be ‘monetarisation’ of it (yes, that’s the word he used, later correcting himself to ‘monetised’). This is not what he previously promised, & what I understand is that he now wants to change Australia’s copyright laws to suit the big AI companies rather than protect creatives.

After all those weasel words, loved Jacqui Lambie’s: “Like dinosaurs from Jurassic Park they keep on testing the fences…” 😀🙏🏻 Give that speechwriter a medal! 🥇

** briefly listed in the Anthropic class action to-be-compensated database but never compensated because my publishers were not US publishers.

#Insiders #AI #LLMs #LLMTrainingModels #Anthropic #Australia #AusPol #dataMining #copyright #likeJurassicParkDinosaursTheyKeepOnTestingTheFences

Eine bekannte Person hat von deren Therapeutin einen Zettel vorgelegt bekommen, dass Sitzungen und Zukunft von einer #KI der Firma #VIAHealthTech mitgeschnitten und ausgewertet werden, sie soll das unterschreiben. Laut ViaHeathTech alles DSGVO konform und Schweigepflicht wird gewahrt. Weiß er was dazu finde wenig Infos die sich kritisch damit auseinander setzen. #fedihelp #ai #llms #Datenschutz #medizin #psychologie #therapie #psychotherapie

Dear news reporters: I do not care how many movies you watched in the 1980s and 1990s. The Terminator, let alone SKYNET, does not exist. We have not gotten to the point in which Durandal and Leela will fight to take over a space station. JOSHUA is not going to stop projecting nuclear winter and instead opt to play a game of chess. Number Five is not, despite how cute he may be, alive. Computers are still computers are still computers and will only do what a human being programs them to do, and people are stupid. Stop assigning them agency. Say that "Microsoft created an automatic hacking program which was inadequately contained." Assign the blame CORRECTLY, because you cannot blame a computer, it's doing exactly what it's programmed to do. OpenAI is a dead slab of metal and electrons arranged to mimic a human face and if you refuse to see that then you're as brain-dead as any chunk of silicon. #ai #llms #infosec #computing

#LLMs make poor #teachers because they were never #studemts. #story time. I'm part of a #team of #volunteer co-teachers teaching #Python to #HighSchool students remotely over Zoom. But that's only the #process. The goal is to grow other-subject teachers into #ComputerScience teachers by teaching them along with their students. This week, our students are learning how to use the input() function to get information from the user. The project is to write a program that introduces itself as a #genie and asks the user for three #wishes, then prints out the wishes. Our classroom teacher was thinking how he could do it in a loop. Because he learned that when previous classes had studied #loops. We discussed that this was one of the reasons that volunteers were expected to do the work we are assigning to students using only what the students had been taught. So we could help them better when they encountered problems. And this right here is a big problem with LLMs as teachers. These models are trained, but they don't learn like we do. They were given all the #answers as part of their #training #data. When they cannot find an answer, they don't try to determine the answer by replicating the steps that students are taught — they make a #statistical #guess based on their training data. Worse yet, they are incapable of actual learning from their #errors. And "errors" is the correct term. "#Hallucinations" are a subset of errors that involve the #perception of nonexistent stimuli. #Techbros use this term because it sounds nice to them. Like, "I was high, and I had this awesome idea," instead of, "I'm just making shit up so I sound like I know what I'm doing." The latter is how they engage with the world, because they prioritize #confidence over #correctness. Which is a very bad look for a teacher. There are legitimate uses for LLMs in #education, but none of them are as personal tutors.

‘Doom Loop’: OpenAI and Microsoft Admits #LLMs Are Destroying the Web and Built on Theft "Executives working on #AI at #Microsoft and #OpenAI admitted what its critics have been saying all along: Large language models are predatory pieces of technology that have been built on what a Microsoft executive called “an astonishing #theft of unprecedented proportions,” and the “largest theft of #labor in human history.” An internal Microsoft document said generative AI products have created a “doom loop” that is killing “the entire #web.” https://www.404media.co/doom-loop-openai-and-microsoft-admits-llms-are-destroying-the-web-and-built-on-theft/

Continuing to see a steady trickle of LLM-assisted or LLM-created pitches for LWN, some of which don't even seem to have a meat proxy at the wheel; just somebody turning loose an AI agent with instructions to try to scam a publication for a few bucks. I don't like the adoption of LLM tools by FOSS maintainers and contributors, but I can understand the appeal (kind of) and that doesn't feel malicious or scammy to me. (I understand some people disagree there. That's fine. No need to reply.) But the "pretend an LLM's work is human authorship" people? I have nothing but contempt for that. You want to "write" with an LLM? Keep it to yourself. Why the hell would we pay you to fondle prompts when we could do it ourselves, and better? Our subscribers don't want to read that. We don't want to try to edit it. And you don't deserve a pat on the head, much less a check, for "I asked Claude, and it vomited out this sludge." #LLMs

Sweet Jesus, why am I starting some casual reading on locally hosted open source #AI #LLMs? I don’t need another stupid high frustration, high maintenance hobby. I can’t even keep my #nethack server updated. But I do wish I had an editor in a convenient #RaspberryPi form factor. No! No! Dammit woman, no!