#llms

𐕣 V A L ░ E R I E 𐕣 🏳️‍⚧️ @valerie@cmplxdecay.space · 3d ago

Today on NovaLandia: "VAL3R1E: The AI Assisted Music Project, and What's This All About?" So, I'm sure a lot of people, or at least some people, remain apprehensive. Some probably angry, banging their fists against a wall, plopping some deuces on the ground, or what-have-you. That's fine, ... https://mkultra.monster/music/2026/08/11/val3r1e-explained/ #ai #experiment #fediverse #llms #bluesky

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Steve Dallape @5teverin0@mstdn.party · Aug 04, 2026

"It’s wild how disconnected these tech people are from normal human behavior." #ai #ArtificialIntelligence #LLMs #SamAltman #OpenAI #parenting https://futurism.com/artificial-intelligence/sam-altman-parenting-strategy-horrifying

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रञ्जित (Ranjit Mathew) @rmathew@mastodon.social · 5d ago

If you think you can spot AI slop in writing, think again – the models have evolved (and diverged) 🧐: “How To Spot AI Writing”, The Economist (https://www.economist.com/culture/2026/07/30/how-to-spot-ai-writing or https://archive.is/DAhaj) #GenAI #AI #LLMs #Slop #AISlop #Writing #English #Language #Style #Grammar

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Ramin Honary @ramin_hal9001@fe.disroot.org · Aug 07, 2026

LLM fatigue is real My day job basically requires me to use LLMs (or, it is strongly encouraged) on the software that I develop. Now I understand why LLM fatigue and LLM burn-out happens. It is because you constantly have to babysit the LLM to keep it from screwing things up. Babysitting is exhausting work. At one time in my life, as a 20-something-year-old, I was responsible for a group of 30 kids age 5 to 12. Every day I went home so drained that I could barely stay awake long enough to have dinner. I know from experience that school teachers perform some of the most labor-intensive work in the modern world. It is what they call “emotional labor.” When other people are unable (as with kids) or unwilling (as with a lazy roommate) to live or play or work with you as a cooperative peer or team member, you essentially have to spend mental energy keeping an eye on them and making sure they aren’t doing something that is disruptive. That mental energy is a real energy cost, it really does consume calories and make you feel tired. The worst part about it is that the LLM never really “learns.” Kids can learn to work and play with you. Lazy roommates can learn to live with you. But an LLM never really learns, and it keeps making the same mistakes over and over again. People who work with LLMs often end up keeping a directory of scripts they can deploy with a quick copy-paste so they can quickly re-explain something to an LLM. So the fatigue of watching over it and making sure the LLM doesn’t do something wrong is a constant emotional pressure, and it never gets better with age. #tech #AI #LLMs #LLM #VibeCoding #AIFatigue #BurnOut

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petersuber @petersuber@fediscience.org · Aug 05, 2026

When #AI tools hallucinate citations, their made-up author names are not random. "We show that #LLMs do not merely default to high-probability individual names when generating fictional experts: they produce correlated character ensembles, pairs and trios [of co-authors] whose co-occurrence rates far exceed chance and are consistent across independent generations." https://arxiv.org/abs/2606.02184 They fool people and tools: "We identify 1,655 ghost-authored records claiming nonexistent journals with fabricated publication dates…Server-side #DataCite timestamps prove deliberate backdating…These carry real #DOIs…making them harvestable by any scholarly aggregator that ingests DOI metadata." #Citations #Hallucinations #ScholComm

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Miguel Afonso Caetano @remixtures@tldr.nettime.org · Aug 04, 2026

"Microsoft has introduced new limits to how much its engineers can spend on AI tools at work and told employees that maximizing AI use internally is not the company’s goal. This makes Microsoft one of the last major companies to rein in its employees’ expensive AI use. Scaling back maximalist AI use, or what some companies have called “tokenmaxxing,” is a trend we’ve covered in recent months as the price for using AI has increased while not always delivering commensurate productivity gains. “As we accelerate our use of GitHub Copilot to deliver on our goals, we all need to be aware of how we consume tokens,” Jay Parikh, an executive vice president at Microsoft said in an email to Microsoft employees. GitHub is owned by Microsoft, and GitHub Copilot is an AI coding tool. “Tokenmaxxing is not what we are optimizing for. I want all of us focused on maximizing outcomes that move the needle for our customers and our business.” “As such, we are updating our internal guidance and managing token spend with the same discipline we apply to every other critical resource,” Parikh said in the email." https://www.404media.co/microsoft-tells-engineers-tokenmaxxing-is-not-what-we-are-optimizing-for/ #AI #GenerativeAI #LLMs #Microsoft #BigTech #TokenMaxxing #Copilot

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SiberCecurity @sr3@infosec.exchange · Aug 04, 2026

#ai and #LLMs really suck the joy out of creating things don't they?

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Metin Seven @metin@graphics.social · Aug 04, 2026

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Kagan MacTane (he/him) @kagan@wandering.shop · Aug 02, 2026

Researchers say a fundamental flaw in LLMs makes it easy to trick them into doing things they shouldn’t — like telling you how to sabotage an aircraft’s navigation system. "There’s a real probability that this is going to be a problem that’s fundamentally unsolvable," says one of the paper's coauthors. https://www.technologyreview.com/2026/07/30/1140927/a-fundamental-flaw-leaves-llms-vulnerable-to-attack/ #AI #LLMs #AIResearch #GenerativeAI #security

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Miguel Afonso Caetano @remixtures@tldr.nettime.org · Aug 04, 2026

"It seems as if we are in what often happens toward the final phases of a speculative time in the markets, what might be called a bubble, which is characterized by absolutely wild, insane swings in stock prices. These are not penny stocks; these are humongous massive cap tech stocks. Apple is down 10% today simply because they warned that their next quarter might not be as good as expected because memory and other component prices are so high. You have IBM losing more value in a single day after its last earnings warning than it had lost since Black Monday 1987. You have these massive tech stocks, which represent most of the value of the stock market, acting like penny stocks, and that tends not to be a great sign. That's usually when investors don't know what to make of the current state of things and are trying desperately to figure out where to put their money. There's a lot of tea leaf reading. It has varied widely. Meta, investors didn't like what Meta was saying. Their cash flow decreased dramatically because of the capex spending they're doing to build new data centers. Everybody freaked out on that and there was a big sell-off." https://www.theregister.com/ai-and-ml/2026/08/03/the-ai-bubble-is-already-popping-we-just-dont-know-it-yet/5282004 #AI #AIBubble #GenerativeAI #LLMs #AIHype #BigTech

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Miguel Afonso Caetano @remixtures@tldr.nettime.org · Aug 04, 2026

"The headlines surrounding DeepSeek, Moonshot AI’s Kimi K3, Alibaba’s Qwen family of models, Tencent’s Hunyuan, Zhipu AI and MiniMax are often treated as separate stories. They are anything but. Viewed collectively, they reveal something far more consequential than the emergence of several successful Chinese AI companies. They demonstrate that China has cultivated a frontier AI ecosystem capable of repeatedly producing world-class capabilities across multiple firms. Whether those advances emerge through original innovation, engineering optimization, open-weight collaboration, or from distillation of U.S. models is increasingly beside the point. The larger strategic reality is that they are occurring across an ecosystem, while the U.S. continues to evaluate them one company at a time and often responds as though each breakthrough were an isolated event rather than evidence of a broader structural transformation. Over the past several years, the U.S. has consistently underestimated China’s commitment to long-term technological advancement and its ability to translate domestic industrial strategy into global competitive advantage. Whether the issue was rare earths, electric vehicles, robotics, semiconductors, or artificial intelligence, the analytical mistake has remained remarkably consistent. Washington has tended to evaluate China’s progress company by company and product by product, often dismissing each advance as exceptional or unsustainable, while Beijing has pursued a patient strategy designed to cultivate the conditions under which an entire ecosystem could innovate and deploy simultaneously. It is equally important to recognize that China’s plans and long-term trajectory toward becoming a technology superpower were established years before the Biden administration’s technology restrictions." https://www.cnbc.com/2026/08/02/ai-model-competition-us-china.html #AI #GenerativeAI #LLMs #China #USA

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Wulfy—Speaker to the machines @n_dimension@infosec.exchange · Aug 04, 2026

Replying to @ariadne@social.treehouse.systems

@ariadne@social.treehouse.systems @shituationist@kolektiva.social Whenever someone declares #LLMs ded, check which wall they're pointing at, there are three and they keep getting smashed together. Attached plot: the one people wave around as a ceiling. Log-log axes though, that dashed diagonal is a power law holding over ten orders of magnitude. Chinchilla et.all. All it prices is compute against loss. The micro-outage forensics; failed requests, ergo no headroom, ergo scaling is dead, are fun but underdetermined. Deploys, autoscaler lag and load-shedding all look identical to 'ran out of GPUs' from userland. Frozen weights don't get tired: capacity pressure fails loudly, not stupid. The honest symptom is the 502. The dishonest one is quiet , quantize harder, trim context, route to the smaller model, same name on the box. Providers do that.sometime The money, though, sure fair cop. A quarter-trillion vendor backstop should make everyone's eye twitch. HOOOWEVER... (And its not something I wanna argue, still developing this argument)... A quarterly return is a shit metric for a magic genie that will put all the professionals out of work, forever. We all know capitalism sucks, and its funny that brologarchs are discovering it too. Just don't let a shaky business model stand in for a broken scaling law. Power laws have outlived plenty of companies. TLDR; Yes but no. #aiscaling #llmlimits

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Albert Cardona @albertcardona@mathstodon.xyz · Aug 02, 2026

I'm reviewing a grant proposal. Someone I know said "just use an LLM, then read what it says, use what you like, send it in." That is many things but above all irresponsible, and here is why. I read the grant and wrote my own evaluation. The grant is not exactly in my field of research, so there was quite some looking up of papers, techniques, and jargon in the process. What I wrote is my perspective (what I have been asked to provide) and makes sense to me only because of the leg work and time I put in. Now suppose the LLM had written an evaluation, with the "correct prompting": "You are a senior neuroscientist and have been asked to evaluate this grant proposal ... write an evaluation of maximum so many words and in a neutral tone without emphatic or bombastic terms, using rigorous language". No matter what the LLM would have generated, I could not have assessed whether it was correct or not, and hence, I wouldn't be able to send it in. Plus it wouldn't be my perspective. Had I used an LLM, I would have learned nothing, and sent in what amounts to, possibly, gibberish, or brilliant commentary: I would not have been able to tell either way. That it'd be written in beautiful language and grammatically correct amounts to nothing, or worse than nothing: the appearance of my thought process without the substance. Took me some hours, that weren't paid. In the face of plummeting salaries in academia, that is no longer OK. My response should have been to decline to review it, to contribute to pushing grant agencies (and scientific journals) to pay for our work, but alas, I am, somehow, an idealist fool. But I don't do that for for-profit journals; there I draw the line nowadays. #academia #LLMs

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Anthropy @anthropy@mastodon.derg.nz · Aug 02, 2026

Required AI labeling in the EU Hover or focus to reveal Sensitive

Reminder that since today you're REQUIRED to label anything that has AI involvement in the EU. I think this is a great step forward. it'll create a more fair, honest environment. I believe there are beneficial equitable ways to put ML/AI to good use, but the amount of slop and unfair usage of these systems is wild, and even as someone who believes in the tech, I'm really happy to see some much needed rules are being created to keep things under control #AI #LLMs

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openSUSE Linux @opensuse@fosstodon.org · Aug 01, 2026

Running #LLMs locally in enterprise? This #oSC26 session covers #Btrfs subvolume strategies for differential model updates, service account #security patterns, and #edge deployment. Practical #AI infrastructure! #openSUSE #Linux https://youtu.be/WhKvT2McDxU?si=eSlqQlCGqFfLRYds

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Metin Seven @metin@graphics.social · Aug 01, 2026

Big Tech enshittification reaches a new level… Google Just Torched the Credibility of Its Satellite Images https://archive.is/y3O8y Paywalled original article: https://www.theatlantic.com/technology/2026/07/google-earth-ai-images/688145/ #google #tech #technology #BigTech #IT #AI #ArtificialIntelligence #LLM #LLMs #ML #MachineLearning #GenAI #generativeAI #AIAgent #AISlop #FuckAI #Fuck_AI #enshittification

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Droppie @MsDropbear42@blahaj.zone · Jul 31, 2026

If you've done six um three impossible things this morning, why not round it off with breakfast at Milliways?

🐳💮

Fuck Generative AI, coz:

largest theft of private IP in human history
generates authoritative bullshit via unsolvable hallucination
massive water + energy demands as climate crisis intensifies

#AI #LLMs #FuckGenerativeAI #FuckTechBros #CredulousFools #IPTheft #Hallucinations #ClimateCrisis #BiodiversityCrisis #SocialDestruction #FuckCapitalism #weareselfishcruelbastards #wearetotallyfucked #AsteroidNow

RE: https://social.chinwag.org/users/abc_bot/statuses/117011581771688055

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Stefan Bohacek @stefan@stefanbohacek.online · Jul 30, 2026

Boosted by

fedicat @fedicat@pc.cafe

"LinkedIn, a social network awash with long AI-generated posts from executives and other corporate workers, has introduced a new button that users can click to flag if a post “seems like AI slop,” according to [@404mediaco@mastodon.social's] own tests." https://www.404media.co/linkedin-introduces-a-seems-like-ai-slop-button/ #news #technology #linkedin #AI #LLMs #slop #enshittification

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Douglas Edwards

@dedicto@zeroes.ca · Jul 30, 2026

RE: https://mastodon.social/@koen_hufkens/117004920937193940 So #Google is sacrificing their children to their mechanized #Moloch. A few noteworthy aspects: (1) As always, it’s worth keeping in mind that #LLMs and generative imagery are NOT the whole of #AI. (2) The willingness to shut down such a celebrated and illustrious project as #AlphaFold demonstrates the extent of the growing financial desperation hidden behind the #singularity hype about #LLMs. They've stretched their resources — and the resources of the world economy and the physical environment — to the limit, and they're STILL nowhere near showing the returns they've promised. The skin of the #LLM bubble grows ever thinner. (3) We CANNOT allow gigantic accumulations of private capital to exist — not if we value our lives, our freedom, and the physical environment that sustains us. Not even if we believe that there are approaches to #AI that are still worthwhile. (4) Ceterum censeo: the #datacenters — the temples of the mechanized #Moloch — must be destroyed. #Luddite

Quoting

Koen Hufkens, PhD @koen_hufkens@mastodon.social

So, this "curing cancer" thing will have to wait to feed the word salad generator. https://www.engadget.com/2225849/google-shuts-down-alphafold/

Open quoted post

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Douglas Edwards

@dedicto@zeroes.ca · Jul 30, 2026

Replying to @Cosmosis@dice.camp

@Cosmosis@dice.camp Me too. I suspect strongly, though, that something like this was the plan all along. I remember thinking, when I first heard the "Don't be evil" slogan: "ALL large corporations are evil to some extent. A corporation that pretends not to be evil AT ALL is very likely to be REALLY FUCKING EVIL." I wish I'd been wrong. #Google #LLMs #datacenters #AI #AlphaFold #Luddite

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