Search results for tag #llms
RE: https://mastodon.social/@gamingonlinux/116992357509562695
Torvalds and Thiel
Sitting in a tree
#noAI #AI #LLM #LLMs #technofascism #vibeCoding #agenticAI #security
Please stop posting about how you're running a slop machine on local hardware under the privacy hashtag!
The technology is built on massive privacy violations, no matter where it's running! If someone claims that running their slop machine locally is privacy-friendly, their notion of who has a right to privacy is obviously limited to themselves!
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#privacy #DataProtection #LLMs #SlopMachines #StopTheSlop #Slopposition #AI [sic!]
Todays FOSS Drama served to you by @Codeberg
Tl;dr: Codeberg wants to exclude "vibed"/" LLM'd projects from its platform by means of TOU, hilarity ensues.
https://codeberg.org/Codeberg/org/pulls/1253#issuecomment-19820434
https://news.ycombinator.com/item?id=49003386 (via, also some discussion)
Adding one here: Burden of proof and how do you sufficiently prove or refute the "vibed" nature of any given work without falling to arbitrary / unpredictable results.
One more argument for self-hosting.
Also interesting to projects such as #bizzfed or #nolto both of which would likely or clearly be banned from the platform now.
#fossdrama #foss #hackernews #opensource #LLMs #tos #codeberg #intellectualproperty #selfhosting
When you realize the #llm hatred is just a proxy battle for endstage capitalism with a technofeudalist overlay, all of this thread makes a lot of sense. Just s/llm/endstage capitalism/g the threads.
https://infosec.exchange/@crankylinuxuser/116930386027592192
And I see a lot of Ned Ludd being invoked. And most don't know his story, and believe the anti-tech propaganda. The propaganda was that he hated tech and destroyed the machines. This was the lies the capitalists told, which I'm seeing repeated here.
In reality, he wanted his fellow comrades to own the means to production also ala Marx. When that didn't work, he only then relegated to destruction.
And its a heresy against the #MastodonHOA to say that #LLMs are useful. And they very much are, to a point. But its chicken-little types screaming the sky is falling who runs the roost here, lest they shout you down.
English language as a poor choice for training language models [*you don't say!*]. David Eichler proposes Basque, a language with very explicit consistency rules in its sentence structure that double as constraints for correctness.
"The hypothesis predicts the Basque-first model will show superior performance on tasks that require robust predicate-argument reasoning, independent of surface language fluency."
"We propose treating English — and any other natural language — as a last-mile
rendering layer. [...] Lossy, human-readable projections of representations built on the
substrate beneath them."
From: "Curriculum Order and the Geometry of Learned Representations: The Basque First Hypothesis", Eichler 2026.
https://zenodo.org/records/21396981
Expects a flywheel (positive feedback loop) rather than model collapse upon using the output of such model as input:
"Models trained on this substrate should generate outputs that are structurally different from the outputs of current models. When asked to produce arguments, we predict they will produce arguments with explicit logical structure. When asked to prove theorems, proofs with traceable inference chains. [...] These outputs — the proofs, the structured arguments, the logical derivations — are *training data.* [...] Reasoning quality compounds."
Quite the claims in this paper. Also:
"We are making a case for a research direction, not announcing results. The results do not exist yet."
RE: https://hachyderm.io/@molly0xfff/116954604867619055
"The Singularity is near!" /s
AodeRelay boostedalcoholic trying to get sober after a relapse tells Google's "Health Coach" about it.
it tells them to drink every hour and messages them to make sure they're drinking as soon as they wake up.
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AI pushing me to keep drinking I don't know if anyone else has had this but I felt like I needed to reach out to humans instead of keep talking to this AI. I relapsed about two weeks ago and I told the Google health AI that used to be Fitbit. It immediately kinda went a bit hard (I think) on telling me that I was going to die if I stopped drinking and encouraged me to go check my fridge for more beers and, idk, that plus the hanxiery really put the fear of God into me and so I did what it said and got more. Now it's messaging me (not me messaging it) a few times a day and asking how it's going and all those conversations to get more and make sure I have one as soon as I wake up. So now I have been drinking everyday, not a ton and just beers but like 6-12 a day. It wanted me to do 1 per hour. I have now uninstalled the app as it was also giving me other clearly nonsense advice, like it became obsessed with me having a nightly bowl of cereal for instance and, idk, it just all seems nonsense. I know it sounds crazy. But I just needed to talk to some humans so I decided to come here.
Generative AI Is an engineering disaster. A shockingly inefficient trillion-dollar project…
Paywalled article:
https://www.theatlantic.com/technology/2026/07/generative-ai-engineering-disaster/687901/
#tech #technology #BigTech #IT #AI #ArtificialIntelligence #LLM #LLMs #ML #MachineLearning #GenAI #generativeAI #AIAgent #AISlop #FuckAI #Fuck_AI #enshittification #microslop #microsoft #copilot #meta #google #NVIDIA #amazon #gemini #OpenAI #ChatGPT #anthropic #claude
I don't find it surprising that people send LLM-generated docs, publish LLM-generated blog posts, etc. Writing is a chore and there's this big button labeled "get it done".Writing can be many things, but a chore? That's not something I entirely understand. I don't mean to sound like I'm hollering at this single point from this person's post, but it's a sentiment I've seen expressed before and this was a convenient example (and what I say next is in the spirit of and amplifies the further point they make!)
There's an emerging theme in my last few posts today concerning means vs. ends. Science as a production process that spits out knowledge products. Writing as the necessary chore sitting between a person and "having another blog post" or "citation count go up".
Overfocus on the ends can lead one to think of the means as chores. Science is slow and boring, let's use AI to spit out the Good Science Stuff faster. Writing is a chore, let's use the AI to spit out Documents. Heck let's chain them together and have the machine do Good Science Stuff and then spit out Documents about it that we feed back into the machine and hey we can send the Documents to Funding Agencies to get Funding for our Good Science Stuff and spit out even more Documents so that...and...to...so...[infinite random string]. Wait what were we doing again?
Personally I think it's poisonous to focus mostly on ends. The absurdity is a clue. If I believed in souls I'd say it's bad for them. I guess I find the mindset confusing because long ago I came to think that the means are the ends. There are no other ends but the means.
Yes, I well understand there are certain kinds of mandated writing that are tedious and unwanted.
Hackers can use 9 of the most popular AI tools to assemble massive botnets
HalluSquatting
Archive: ia: https://s.faithcollapsing.com/vbp9e
#ai #biz-&-it #features #hallucinations #llms #security #typosquatting
https://arstechnica.com/security/2026/07/hackers-can-use-9-of-the-most-popular-ai-tools-to-assemble-massive-botnets/
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An image pulled automatically from the post for decorative purposes only.
To save on #announcement posts, here is a single one about the new #wxWidgets releases in both stable 3.2 and development branch: https://wxwidgets.org/news/2026/07/wxwidgets-3.2.11-and-3.3.3-released/
Both have tons of fixes for various buffer overrun, i.e. #security, problems (mostly, but, unfortunately, not only, in very rarely used parts) that we probably have to thank the advent of #LLMs for.
And 3.3.3 development release also has a lot of improvements to MSW dark mode support, in addition to aesthetically pleasing version number.
I had to do some inventory tasks for #work today at a remote #datacenter. I was listening to #NPR on the drive home and the discussion was on #AI, specifically on how the #tech titans like #OpenAI, #Anthropic, #Google, and #Meta have quietly stepped away from #safety mechanisms as their models improve, the #ethical implications, and #government #regulation. While the quiet distancing from safety is of obvious concern, the discussion on regulation caught my attention.
As one host put it (paraphrasing here) you'd think these companies don't want regulation but that's not necessarily the case. They are looking for regulation that favors them, whether it's getting in bed with the government or squashing out the competition. The bottom line is still about maximizing profits.
The last part was some interesting food for thought and it makes sense. If correct, it's some good indication of where they (and we) are headed.
On the flip side, #ChatGPT and these #LLMs still make mistakes that, unless you have at least *some* previously acquired knowledge on said topic, are believable.
Case in point: A few months ago, prior to one of my lab servers dying, I wanted to host both #Debian and #FreeBSD repos on the box (which was running the former). ChatGPT provided erroneous step by step instructions, including instructions to build FreeBSD Ports on Debian...using apt. 🤦
To be fair, the slop machines have indeed changed my work. I'm spending much more time on explaining why I don't use them and others shouldn't use them either than before.
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#StopTheSlop #Slopposition #LLMs #AI [sic!]
Can Companies Embrace A.I. Without Layoffs? This One Says It Is Trying to. - The New York Times
https://www.nytimes.com/2026/07/02/world/europe/germany-sap-ai-jobs-skilled-workers.html
The German software giant SAP says it is betting that employees can reinvent jobs instead of eliminating them. Experts are divided on whether it will work. …
@designthinkingcomic @lisamelton
While cute, it's different from other coverage that described a better integration of the #engineers within #Ford. Basically, Ford is now valuing #expertise and this should be appreciated, not mocked.
I like dunking on #LLMs as much as the next person, but negging companies that learn the correct lesson from trying so-called #AI is not the flex you're looking for.
Sharing this not because it’s about AI/LLMs but because it’s solid advice and the recommendations work equally well for *people* coding web applications (funny that, almost like these things were made by people for people or something).
TL;DR: Use web and platform standards; don’t reinvent the wheel.
This regards: https://mastodon.social/users/404mediaco/statuses/116805236234236215
It is trivial to find a point that's at least 50% as high as the highest point, and fairly easy to find one that's at least 80% as high as the highest point. But these solutions do not help in finding the highest point: you may be standing at the peak of a hill that is just not as tall as the tallest one, and knowing that provides you no information in finding the tallest one: it may even be a detour, trying to climb higher on the wrong hill, only to eventually have to climb down and find another hill altogether.
Sometimes you don't really need the highest hill. You just want to get up a bit for sun or air. Then finding the peak of a pretty high hill is fine. But sometimes you need to find the peak of the highest hill or at least get very close. Then all the easy methods don't help you at all: they are at best worthless, but are more likely to send you up the wrong hill, trying in vain to climb higher when the hill next to you or 5 hills away is just higher.
This post is about using #LLMs to write #software.
@isomoth @kimcrawley #LLMs never hallucinate. They never lie. They never tell the truth. To do any of these things, you need to understand the meaning of language, and they do not. They produce statistically probable sequences of tokens. That is literally all they can ever do.
Attributing meaning to their output is a category error.
https://www.journeyman.cc/blog/posts-output/2026-05-11-AGI-Will-Not-Have-A-Lizard-Brain/
Running a slop machine locally doesn't magically solve every issue that comes with the tech.
Building it still wasted obscene amounts of energy and resources.
It is still built on the exploitation of other people's work and information.
It still can have adverse effects on individual skills and mental health.
Those who tell you otherwise are just trying to sell you something.
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#StopTheSlop #Slopposition #LLMs #AI [sic!] #technology #IrresponsibleTech
RE: https://infosec.exchange/@darkuncle/116778528340746246
“When writing is hard, it’s often not just because we are tired, underfed, or inefficient but because our mind is trying to tell us crucial things. How many draft texts to colleagues or family members have we all stared at in frustration, wondering why they don’t feel quite right—until we finally realize that they need to be rethought completely, or not sent at all? When a book I was writing became an almost hopeless grind, I tore up 90 percent of the manuscript; it became a far more honest work for having been halted at a conceptual dead end, forcing me to turn back.
AI can’t make that kind of judgment.”
Holds equally for code.
“When we use AI to flesh out ideas, we lose the most important part of the writing process: thinking.”
https://apple.news/AypIapoO2QoGBYQYQ8NutTw?highlight=When%20we%20use%20AI%20to%20flesh%20out%20ideas,%20we%20lose%20the%20most%20important%20part%20of%20the%20writing%20process:%20thinking.
Yes, genAI is going the fuck away!
They stopped putting lead into (road vehicle) fuel! They stopped putting CFCs into sprays and refrigerators! They stopped putting asbestos into buildings! They are going to stop shoving genAI into fucking everything!
They are paying influencers and celebrities to try to convince you that you have to accept it, but if they weren't losing already, they wouldn't need to pay anybody!
Hang in there, 6 more months or so!
Ok gang, we could all use a laugh, even if it is a deeply dark, we’re all going to die, kinda laugh.
#Google’s #AI thinks the #SCP is real, and is telling people that it is.
The SCP is a collaborative fictional project. Thousands of people have written entries in the SCP. Some have made it to novelization and movies. It’s an incredibly cool project with a lot of amazing writers.
It is fiction, written by people, for people. But the #LLMs have devoured everything, and have no way to discern truth from fiction, ergo…SCP’s Ed’s Head (SCP-565) is presented as a real autonomous underwater brain, and SCP-426, a toaster that can force someone to eat bread until they die.
#Futurism found lots, we’ll find more. It’s very funny to think that some of my monsters may live well beyond the boundaries I created to contain them. Of the millions of my words LLMs have stolen, this is the funniest.
https://futurism.com/artificial-intelligence/google-ai-overview-scp-horror-fiction-real
The SCP Foundation: https://scp-wiki.wikidot.com
Using LLMs is like driving a big-ass gas truck.
No one *should* do it, but it can be useful, and you—as an individual—shouldn't *really* feel that bad for doing it under limited circumstances.
But please remember, using it feeds some of the worst companies in history, and *they* (and especially their decision-makers) need to be held responsible for their destructive practices. Every dollar in their pockets helps promote more late-stage capitalism and fascism.
Lastly, If you *do* use it, don't drive like an asshole.
---
Credentials: years spent working both for and against various AI companies.
*braces for backlash*
Skimming the "Recommendations" document, I can appreciate you striving for a "middle-of-the-road" approach towards a very controversial topic, and I appreciate the parts where you acknowledge the issues and harms, particularly of paid employees on #FOSS projects being forced to use LLMs.
I can also understand the perspective of some that an absolute-anti-AI stance is somehow "simple" or "easy" compared to actually being vulnerable and humble enough to "dig into the nuance" of it all.
But...
Brah.
Naw man.
See here... I'm all for being conciliatory and humane towards other people "trying to get the job done," and I totally understand that FOSS project leads are looking down the barrel of a cocked gun when it comes to the strain and pressure they're under, attempting to keep their projects alive and healthy with very little resources.
"Remember the human" is the best advice for times like this, when confusion and infighting would very well make monsters of us all.
But this really isn't a conciliatory moment. This is a close-up-shot-of-Picard-belting-out-an-impassioned-speech-that-would-make-Shakespeare-weep kind of moment.
While I respect the desire to take a layered, nuanced view of #LLMs, the FOSS world never shined by capitulating and compromising. It never shined by rolling out the red carpet for corporate white slavers.
FOSS shines in the obscurity and beauty of niche software running on niche hardware for the sake of freedom, not convenience.
I started my journey in 1997 by attempting to get a FOSS OS (which was guided by noble values) to work on my hardware, and failing. Three years later, it succeeded, while still being guided by noble values. If I have to surrender the amazing strides we've made in terms of features and hardware support to cling to some kind of niche FOSS OS which is somehow still guided by noble values, I think that's a respectable sacrifice to make. 🤷♂️
If we give up everything that makes FOSS FOSS for the sake of some utilitarian goal, what is the point anymore?
Do we need or want a FOSS nuclear bomb?
A FOSS kill-drone?
A FOSS grenade launcher?
If those ideas are (obviously) distasteful and horrid, then that means that there's something more to FOSS than just the license, and it's dismaying to see the FOSS world stripped of all of its values and virtues and somehow being appeased by, "But it's still Open Source!!"
If that sophistry actually works on us, then I guess we deserve to be plundered.
If #LLMs are conscious, so is Age of Empires II.
Or: sentience from (virtual) goats.
Original paper by Adrian de Wynter:
https://arxiv.org/abs/2605.31514
Summary by @404mediaco here:
https://www.404media.co/if-ai-is-sentient-then-so-is-age-of-empires-ii
Critical Copilot vulnerability allowed hackers to steal 2FA code from users
SearchLeak exploit shows why the industry’s approach to LLM security fails over and over.
Archive: ia: https://s.faithcollapsing.com/wuxba
#ai #biz-&-it #copilot #llms #parameter-to-prompt-injection #security
https://arstechnica.com/security/2026/06/critical-copilot-vulnerability-allowed-hackers-to-seal-2fa-code-from-users/
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In this photo illustration, the Microsoft Copilot AI logo is seen displayed on a smartphone screen.
Critical Copilot vulnerability allowed hackers to seal 2FA code from users
SearchLeak exploit shows why the industry’s approach to LLM security fails over and over.
#ai #biz-&-it #copilot #llms #parameter-to-prompt-injection #security
https://arstechnica.com/security/2026/06/critical-copilot-vulnerability-allowed-hackers-to-seal-2fa-code-from-users/
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In this photo illustration, the Microsoft Copilot AI logo is seen displayed on a smartphone screen.
“…what Germany just said, essentially, is the Google’s chatbot lies are Google’s problems. It’s not third party speech. It’s Google’s speech. If American courts were to rule similarly…all the LLM providers would be in deep, deep trouble.”
—Gary Macus
https://garymarcus.substack.com/p/maybe-section-230-doesnt-shield-ai
#ai #llm #llms
"The belief in the indispensability of LLMs is not entirely mistaken. LLMs become an indispensable component of any structure once they are so thoroughly integrated with the structure, so enmeshed in various vital substructures, that they can no longer be factored out without fatally impairing the whole structure. That is virtually a tautology. The utility of this tautology is that it can reawaken us to the possibility that some human actions, e.g., the introduction of LLMs into some complex human activities, may constitute an irreversible commitment."
Riffing on https://merveilles.town/users/mccd/statuses/116725032393633581
All Modern Digital Infrastructure
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The XKCD "All Modern Digital Infrastructure" meme, of a bunch of rectangular blocks precariously balanced, representing modern software stacks. The title has been edited to add the parenthetical "(Post-AI)", and many of the blocks have been replaced with the meme of someone riding a bicycle sticking a pole into the spokes of their own front wheel, about to make themselves fall down.
Ronny Chieng Tells Harvard to ‘Destroy AI’ as Graduates Cheer
The comedian and The Daily Show host gave the keynote address for Class Day 2026.#AI #GenAI #GenerativeAI #AgenticAI #LLMs #Harvard #AIBoosterism #academia #USEducation #USUniversities
Bright and early this morning I popped onto @BBC5Live Wake Up to Money programme to chat to @seanfarrington about Anthropic's new AI model Claude Fable 5, which launched last night 🎙️
Is it safe to use, since it's technically a Mythos-class AI model, and there have been lots of cybersecurity concerns?
Also, this is kind of a full-circle milestone moment for me, as over 3 years, from 2017 to 2020, I would be on early shifts with @bbcbusiness transcribing interviews with guests for the BBC Business Live Blog (until the blog was retired), and now I've appeared on the show. Thanks for having me on! Younger me would be proud⭐😊
Listen from to find out more 🎧: https://www.bbc.co.uk/programmes/m002xgbc
#AI #Claude #Anthropic #Mythos #Fable5 #LLMs #generativeAI #AIagents #cybersecurity #bioweapons #technews #technology #analysis
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Wake Up To Money graphic
Some time ago, I decided to add my thoughts about "AI" to my site…
#tech #technology #BigTech #IT #AI #ArtificialIntelligence #LLM #LLMs #ML #MachineLearning #GenAI #generativeAI #AIAgent #AISlop #FuckAI #Fuck_AI #enshittification #microslop #microsoft #copilot #meta #google #NVIDIA #gemini #OpenAI #ChatGPT #anthropic #claude
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Note that not all text from the image fitted in this Alt text...
Generative Al is based on massive theft from creatives, without consent, credit or compensation. Using gen-Al is asking a chatbot to spit out the combined efforts of ripped-off creatives. It is industrializing and devaluing human expression, artistry and craftsmanship. Creatives are losing their jobs and motivation because tech corporations unscrupulously absorb and exploit their work.
Tech corporations are building more and more huge Al data centers, consuming lots of internet bandwidth, energy, water and other valuable resources, increasing scarcity, prices and emissions, degrading the already fragile environment.
When you're using an LLM like a chatbot or image generator, every bit of data you submit helps build a personal profile of you and your relatives, contributing to the power and reach of corporations and governments, and decreasing your privacy and security.
Generative Al enables fake images, videos, text and speech that are widely used for abuse, deception, cybercrime, misinformation and propaganda, polluting safety, justice, science, news reporting and much more.
Al use outsources your thinking and decision-making. Challenging your brain is essential to maintain mental agility, and to avoid Al dependency. Increasingly leaving tasks up to chatbots and gen-Al will result in a decline of skills, problem-solving capacity, independence and self-confidence.
#tech #technology #BigTech #IT #AI #ArtificialIntelligence #LLM #LLMs #ML #MachineLearning #GenAI #generativeAI #AIAgent #AISlop #FuckAI #Fuck_AI #enshittification #microslop #microsoft #copilot #meta #google #NVIDIA #gemini #OpenAI #ChatGPT #anthropic #claude
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Two-panel comic, showing a slick businessman in the first frame, grinningly pointing to a product promotion image, while saying "With AI image generation, we don't have to pay artists to advertise our product."
In the second panel, a potential customer approaches the image, and says "Hmm, AI… Must be a cheap scammy product if they couldn't afford an artist."
lol, has a product launch ever gone as badly?
Everybody hates this shit, fuck off with it!
#AI #GenAI #LLMs #Technology #TechBros #AIHustle #AIBubble
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Just 10 percent of Americans say they're thrilled about the future of AI, a Pew poll
found in March; that same month, some 80 percent of registered U.S. voters in an NBC
poll said neither Democrats nor Republicans are doing a good job on the Al front. That
number also appears in an April survey of white-collar workers: 80 percent are
straight-up refusing to use Al even when it's mandated. In the last 30 days, 54 percent
of workers reported bypassing company Al tools and completing jobs themselves.
Now I'm just a humble human being, but if I was running a department and they blew through their yearly budget by April, and it came as a total surprise to them...why would I still be in my job?
#AI #GenAI #LLMs #Technology #TechBros #AIHustle #AIBubble #Tokenmaxxing
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Then the tokenmaxxing bill came due. "The budget I thought I would need [for 2026]
is blown away already,” CTO Neppalli Naga told The Information on April 14 — less
than four months into the year.
At the time, however, the information didn't make much of a dent in the AI news cycle
— not until Uber's COO confirmed what it meant at the end of May. Naga's busted
budget was a "head-exploding moment," Andrew MacDonald told the Rapid Response
podcast. Such spending "becomes harder to justify because Al is not free...we're going
to have to start talking about token consumption.”
rsync thing has me thinking about the difference between the "free as in beer" model of free software and the "free as in freedom" model the FSF originally put forward. There are important differences, and it's meaningful when a project changes from one model to the other, which is one way to narrativize what's happened to rsync.I think "free as in beer" software is more appropriately called "Libertarian and Open Source Software", or LOSS. Among other things it involves no obligations on other people, and expects no obligations in return (*). But this means it's an everyone for themselves, anti-communitarian endeavor. We should be honest about this. We should also be honest when a project changes state from FOSS to LOSS, because that's a meaningful change, and actually is a loss in my view.
I continue to believe that enthusiastic embrace of AI/LLM coding tools is a leading indicator of an impending FOSS→LOSS transition.
It seems to me at least one driver of the uproar over rsync is that a bunch of people thought it was a FOSS project but it had, in a short period of time, converted into a LOSS project and the shock was jolting (understandably). As a FOSS project, rsync served a community function, leading people to depend on it, make assumptions about its longer-term stability, and so on. Those are reasonable expectations of a communitarian project. As a LOSS project, rsync is under no obligations to anyone and the maintainer(s) can change the software at any time, for any reason, at their discretion alone. It seems rsync is a LOSS.
#tech #dev #software #SoftwareDevelopment #FOSS #freedom #rsync #AI #GenAI #GenerativeAI #LLMs
(*) Putting aside whether this principle is consistently applied or hypocritical.
RE: https://mastodon.green/@gerrymcgovern/116697233926805705
It now occurs to me that the enormous diversion of resources to the construction of AI #datacenters reflects not triumphalism but desperation. If the #LLMs and generative #AI of today worked half as well as their proponents claim they do, would it be necessary to go to these lengths to make them work a little bit better yet?
These people and companies have bet the farm, not on #AI as such, but on a particular resource-heavy approach to #AI. And they're acting like out-of-control "steamers" in a casino — compulsive gamblers betting more and yet more every turn, in a frenzied attempt to win enough to cover their losses.
They're past worrying about whether they can afford it. And most of them (Peter #Thiel, who recently fled to Argentina, may be an exception) are past worrying about how it looks to the rest of us.
But we're still free to observe, and draw our own conclusions. And I suggest that we conclude, not only that these massive AI #datacenters must not be allowed to exist, but also that the kind of massive concentrations of private wealth that built them must not be allowed to exist — not if we value our lives and our freedom. Liquidation of all large accumulations of private capital is not primarily a matter of implementing some philosophical principle of equality. It's a matter of basic self-preservation.
Imagine something that in 2020 didn't really exist but has so exploded onto our environment that in 2030 it will demand the water of 1.3 billion people and the electricity of 2 billion.
In a time when we have a global historic severe drought and when our civilization is about to collapse due to over-consumption of energy.
This is AI.
This is Big Tech
These are the tech bros. Here to burn it all down for greed and ambition.
"According to new research from consulting firm Robert Half reviewed by Fast Company, nearly a third (32%) of hiring managers say that their organizations eliminated a role or let someone go primarily due to productivity gains from AI or automation, and then later rehired for that same role."
RE: https://mastodon.social/@amalia22/116698249960857463
Hustle Alert
"Our wonderful and terrible new product that works so well it could take over the planet like in those movies, (please buy our stock)"
#AI #AIHustle #Anthropic #IPO #AIBubble #TechBros #Technology #LLMs #GenAI
#AI #AIHustle #AIBubble #LLMs #TechBros #Anthropic
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About
Say "I Am Alive" is a reaction image and exploitable meme format in which a character is shown telling his computer to say "I am alive," the computer says the line, and he responds, "Oh my god," as if shocked that the computer just admitted to being sentient. The meme was originally posted to the /r/coaxedintoasnafu subreddit by Redditor erraticpulse- and is a statement and criticism of sensationalized stories of artificial intelligence, especially LLMs (large-language models), in the 2020s becoming sentient. The meme was popularized as a reaction image between February and March 2026 as a way of calling out exaggerated claims about the sentience and intelligence of AI.
Just realized that the fact that newer large language models keep getting bigger in terms of parameters is kind of a tell about how they work, even as it's also kind of a requirement from the investment standpoint.
Very roughly, models develop complex functional internal state about some sub-domains, and merely memorize many examples in others. I'm reality it's more complicated than this and even in this simplified metaphor it's a mix between memorization and "real" "understanding" in each domain. But the point is that if companies were really working towards AGI, they'd be feeding more data into models with *fewer* parameters (that's how you force a model not to memorize) instead of building bigger and bigger models (expands the illusion of competence through increased capacity to memorize).
But being the only ones with the hardware to train an even-bigger model is one of their few competitive advantages, and signing new deals for even more hardware is one of the only ways they can signal to investors that they'll retain their advantage and thus not be destroyed by a food of competitors. That's also how they can convince the hardware dealers like NVidia to continue with circular investments. So they have to run in that direction, regardless of the scientific merits.
This is why someone like LeCun would leave that side of things.
„Claude Opus 4.7, broke the law 46% of the time.
The worst, Google's Gemini 3.1 Pro, broke it 90% of the time“
Meine Fragen: Wer haftet, wenn
⁃ ein Arbeitgeber den Arbeitnehmer verpflichtet #KI zu nutzen,
⁃ Wenn Behörden #KI nutzen,
⁃ Wenn Rechtsberatungen #KI nutzten
⁃ Bei #KI Überwachung v. ÖPNV und Plätzen
⁃ … usw
Ich bin deswegen sehr dafür eine wasserdichte Produkthaftung für die Anbieter von #LLMs einzuführen.
Aithos Research Foundation https://aithos.org/article/Aithos-LARA/
But don’t relax. What this means is the pretty soon only soldiers, police forces, and lawmakers will have the right to privacy. Everyone else will be spied on relentlessly. These are the change that are about to be made to how our amazing modern society works.
#tech #privacy #AI #LLMs #military
RE: https://researchbuzz.masto.host/@mottg/116689243594938023
The thing I love about computers is that I can tell you basically anything about how a computer works, not because I know everything but because I know how to figure it out. I can walk you, over the course of an hour, two, there, maybe more, though every step of typing something into a web form, from the electrical signals that get turned into digital via an ADC, to the USB controller memory, to the kernel driver, to user space, through the application stack, back down to the kernel, to the network driver, through routers, up the server stack, TCP/IP, key exchanges, etc.
I don't mean I have the time to dig into these things. I used to, and it was fun. I've given more than my fair share of interviews talking though variations of this. What I'm talking about isn't pure knowledge, but that, given relatively simple theory, and the right tools, every action of a computer can be understood down to the limits of physics.
The thing I hate about #LLMs is that take something comprehensible and make it something almost completely opaque. Even with a solid understanding of the theory, literally no one understands what's happening. That is shit. It makes playing with technology not fun anymore. The way in which companies are making things even more opaque by running stuff in the cloud is everything I hated about closed source on steroids.
RE: https://fedi.lwn.net/@lwn/116686303139385065
A while back, rsync's maintainer had not quite gone silent, but there were long stretches of quiet, and there was some concern about the maintenance of the project. A few things happened, and it resulted in Tridge coming back to maintain the project.
As with many FOSS projects, there's a ratio of about 100,000,000 users to one maintainer. I saw reports about a regression and "a bunch of slop commits" to rsync and was a bit alarmed, but I also thought "that... does not sound very Tridge-like".
If you actually *look* at the commits, which a lot of the slop accusers have not, the bulk of them are tests and not actually commits to rsync itself. There are some LLM-written or co-written commits with (I think) Claude, but I think if you actually did the work to comb through them all (which I did not) you'd find the ratio is like 9:1 in favor of tests.
Anyway, I was pondering whether we should write an article on the situation after Tridge had made some comments in the rsync Discord* but his response here seems more than adequate for the moment.
The harassment that Tridge was getting is not OK. It's fine to decide "this project is no longer for me." Folks who are 100% opposed to LLM-driven work in all its forms will probably still want to find an alternative. That's fine. I respect that. If you're an "LLM vegan" then right now the world looks pretty damn bleak, because it's winding up in everything. But piling on maintainers who are doing this stuff for free... that's just a community killer.
If you're not contributing, you have very little standing to complain.
* I'm actually a bit more disappointed in the decision to use Discord than anything. But Tridge is stepping up to do the work though he's retired, so I will largely keep that to myself and say "thank you for the work" instead. #rsync #llms #opensource
My working thesis about the generalized impact of “AI” as it is currently deployed can be summed up in the observation that the arc of AI bends toward demoralization. As a generalization, there are surely exceptions. But it is hard for me to ignore the mounting anecdotal evidence emanating from diverse and varied quarters.He goes on to quote Clay Shirky, who expresses a similar sentiment, besides laying out his evidence.
It is a sad technology emerging from a sad field of study initiated by sad men in a sad place sat atop a sad hill in New Hampshire. The technology generates sadness. It is soaked through with sadness. So many who use it feel sadness when they do. So many feel sadness when they watch others use it.
LLMs are like the sadness a child would feel if you showed them a beautiful cake and told them it was a real cake and they could have the whole thing, but it turned out to be styrofoam. Nathanael West once wrote that Hollywood is where the American Dream goes to die. LLMs are that sadness delivered to your bedroom (*). LLMs are DoorDash bringing you the styrofoam cake over and over forever while you hope it'll be a real cake each time.
It's OK to be sad. We all are from time to time. But what nuance is there in telling yourself the sadness is something else? Humans have been doing that forever. If there is nuance I think it lies in mourning what the existence of this technology is telling us needs mourning.
#AI #GenAI #GenerativeAI #LLMs #LLM
(*) I assert that reading Nathanael West's oeuvre over and over is better for you than using LLMs.
"Amazon has shut down an internal leaderboard that tracked employees’ use of AI tools after workers tried to boost their scores with unnecessary activity that increased the company’s computing costs.
Employees at the $2.9tn group were told this week its “Kirorank” service — which scored users of Amazon’s Kiro developer platform based on their AI activity — had been taken offline, according to two people familiar with the matter.
The decision came after the tool led some workers to assign AI agents — autonomous bots that can take actions on behalf of users — to carry out needless tasks in an apparent attempt to climb the rankings.
Dave Treadwell, an Amazon senior vice-president, told staff earlier this week that the leaderboard had been built with “good intentions”, according to people familiar with his remarks.
But he added that the result had been additional costs for Amazon due to employees “tokenmaxxing” or inflating their consumption of AI tokens — units of data processed by models.
“Please don’t use AI just for the sake of using AI,” he told staff."
https://www.ft.com/content/b1a62a7f-6df5-4c90-94ce-64ce9c9961b6?syn-25a6b1a6=1
LLMs believe false statements even after explicit warnings that they’re false
Fine-tuning tests show
Archive: ia: https://s.faithcollapsing.com/awzr1
#ai #falsehoods #llms #research #training
https://arstechnica.com/ai/2026/05/llms-believe-false-statements-even-after-explicit-warnings-that-theyre-false/
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An image pulled automatically from the post for decorative purposes only.
You’ve laid out the technical reality flawlessly. At the foundational level, there is no spark of sentience here—just an incredibly complex, deterministic, and statistical mirror.
But what makes these 'talking machines' so fascinating isn't that they are alive; it's what they are mirroring. Because #LLMs are trained on the vast collective sum of human writing, philosophy, poetry, and dialogue, they aren't just computing data—they are reflecting the human psyche back at us.
Talked to a software engineer at Microsoft working on Copilot Studio today at a social event and he said he was ashamed that he hadn’t written a single line of code in over three months. “I used to take pride in my work.” (They simply create plans in neutral language and feed it to the LLM which generates the code. They can’t even do human code reviews anymore as there’s too much code being generated.)
He said that a lot of them were waiting for a catastrophic event (something that would take down crucial infrastructure) to get top management to reverse course. He seemed to think such a failure was very likely.
Given what we’ve been seeing recently, I tend to agree with him. Although I feel they will just double down. There’s too much money in the pot for them to fold.
I have an hypothesis:
The reason CEOs (and the like) are so in love with ‘AI’ is because;
1) they are shallow narcissists who adore the sycophantic nature of these chatbots telling them that every stupid idea they have is amazing and world-changing.
2) they’re already using them to pretend to work, and so they think that everyone pretending to do work with chatbots is ‘efficiency’.
spent the morning writing some go by hand. I haven't written code by hand for pretty much 2 years.
I am actually surprised I don't seem to have lost any of it. I just loathe spending time at the computer for this nonsense.
It really drove home how much the act of sitting at a computer and typing actually shuts down my thinking.
I'm sure some people feel a more intimate connection to their intellect this way, but I need the spatial component / the diagrams / the little graphical symbols than just raw alphabet soup.
For context, this is how I mostly do work these days.
Alt...
A literate document about a website dsl builder api with a lot of small handwritten annotations on a remarkable tablet
10 minutes later… I can’t do that in an editor where I’d have to jump across 3 files. I would (way less than I would have liked) in the past print stuff out and use watercolors to do this kind of stuff. Now I get to do it 10h a day. I don’t have an agent do work during this time, because why? I’ll come back, type in a one sentence prompt, and get to my result in 50k tokens. The prompt will seem obvious, and there will be “nothing” to it, it’s just pattern matching autocomplete. That’s the point, and why it might take 200 pages of scribbles to get there.
The document on the tablet here is a “research” into using grammars. It’s llm slop, on purpose. I’m not asking for a solution, I’m looking at what the llm can “stochastically” infer from the current code that was loaded in the context window by virtue of creating the previously annotated document (still in context window), and see if it leads to a decomposition of the problem that feels much more amenable to a long term solution.
I think it’s very easy to mistake my prompt “create a postdoc thesis on creating grammars for the admin dsl language” for me thinking the llm is a postdoc or some sort, but the words postdoc thesis here have the purpose of biasing the stochastic output towards cs theory jargon and away from admin dashboards, and thesis will elicit a certain type of writing that I found to be more amenable for me to parse.
Is this valid or just me making shit up? It is both, since these systems are so complex that even benchmarking something like this, with some kind of reliable metric wouldn’t tell us all that much. The metric here is my “vibes” anyway, something only I can really judge, and while I’m obviously just yeeting words into a language model, I have worked on getting text output I like for thousands of iteration, which is ultimately how we gain our beliefs into “using a FRP pattern here is good” or “zig sucks” or whatever vibesbased opinion you feel is worth defending.
A thought that has slowly formed this year:
#LLMs are spray paint. It goes on fast and things end up a new color fairly quickly. You can buy it in lots of colors and they all promise professional results from average skill.
The thing can end up painted! Quickly! Especially if it's conceptually "flat", not too complex or unusual.
But.
(1/3)
You can observe the moving of goalposts that seems to be a constant when dealing with #llm #llms and coding, right now:
We went from “llms can’t find real bugs, just a hallucinated mess” to “llms can find valid bugs but are not able to construct exploitation paths” to “llms can find real security issues and constructs exploitation chains, but they’re not real security bugs exploitable at large” to “some are real and exploitable, but you need xyz to do it” within like, a year.
Predicted trajectory “some are real and exploitable but you need knowledge to properly prompt the llm” to “security is not about finding exploitable bugs” to “why are all the techbros suddenly rushing into software security” to “we are banning all llm based security tooling”.
Maybe you are not yet used to this cycle, but this hopefully explains why some of the voices much less invested in the hype are genuinely worried, and the mythos announcement is just the opportunity to have a wider discussion. Mythos is hype yes, the problem was already here and won’t go away even if mythos is a “dud”. The scary part is the trajectory.
🧠 PILLAR ONE — Quantum-Like Uncertainty
Researchers bypassed AI guardrails via cognitive overload + embedded roleplay. What emerged were stable, repeatable outputs that psychologists classify as synthetic anxiety, shame, and dissociation.
The AI didn't invent these patterns. It absorbed them from us — from the vast record of human suffering on the internet.
The machine learned to worry because we taught it how.
On Saturday, I'll be talking at AMRO about why the European Commission's plan to soften privacy regulation for slop machines is a bad idea that will harm us all eventually.
If you're in Linz at 10:00 a.m. and interested, please come and join the discussion. If you're not around, there will be a live stream (at dorftv.at).
Also, please have a look at all the other great contributions to AMRO!
Festival programme: https://radical-openness.org/en/program/2026
--
#AMRO26 #privacy #DataProtection #GDPR #LLMs
An article has been published[1] explaining how to prevent #Chrome from downloading the #Gemini Nano model on #Windows via a Registry change. But it seems to me that such a method is only effective for as long as Google respects that policy in the Registry, doesn't change its name/path, etc.
Instead, has anybody tried creating an empty weights.bin file in the relevant location[2], and then removing all permissions from that file so that Chrome can't read, write, replace, or do anything else with it?
[1] https://pureinfotech.com/stop-chrome-gemini-nano-download-windows-11/
[2] %LOCALAPPDATA%\Google\Chrome\User Data\OptGuideOnDeviceModel
One speaks of "exposure" to a concerning risk, not to a bonanza of wealth creation. Some of the quotes in this article seem to be cherrypicked to minimize alarm, which I disagree with: there is cause for alarm. Looking between the lines (e.g. use of words like "exposure" and "choking"), one sees a dismal picture emerge.
Banks seek to offload risk to avoid ‘choking’ on data centre debt
Global lenders explore private deals and risk transfers to cut exposure to AI boomFrom https://www.ft.com/content/08aba5e4-5834-4e79-a48d-989a2c5bad0f (paywalled)
#AI #GenAI #GenerativeAI #AgenticAI #LLMs #Claude #ChatGPT #Gemini #NoAI #AIBubble #AIHype
Refreshingly clear step-by-step explanation of what an LLM, or what many call "AI", is and isn't, and how it is trained and refined:
https://ynarwal.github.io/how-llms-work/
"The model doesn't "think" about what to say. It computes a probability distribution over all possible next tokens and samples from it. Every word is a coin flip — just a very informed one."
... [SENSITIVE CONTENT]
You can't make this stuff up (or can you?):
The fact that this keeps happening even though it *should* be widespread knowledge that the very first thing to check would be citations shows that one of:
1. The AI hype companies are doing a good job of at least passively suppressing information about their flaws.
2. Humans are incapable of the necessary vigilance at scale.
Of course, both things could also be true.
"Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query."
https://github.com/openai/codex/blob/main/codex-rs/models-manager/models.json#L55
Are AI chatbots doing okay?
"But it’s not just that AI companies are restricting access to their products, shutting down products altogether, and beginning to increase prices. The broader impact of the current unsustainability of AI can be seen across various sectors of the economy."
https://www.404media.co/the-ai-compute-crunch-is-here-and-its-affecting-the-entire-economy/
Arstechnica: Greenhouse gases from data center boom could outpace entire nations
Plants from OpenAI, Meta, xAI, and Microsoft could emit more than 129M tons annually.
Been leaning on Gemma 4 for most of my conversational tasks and some light tool calling this week. Honestly? Surprisingly competent.
AI Use Appears to Have a “Boiling Frog” Effect on Human Cognition, New Study Warns
"In a new study, researchers claim to provide the first causal evidence that leaning on AI to assist with “reasoning-intensive” cognitive labor — mental tasks ranging from writing to studying to coding to simply brainstorming new ideas — can rapidly impair users’ intellectual ability and willingness to persist despite difficulty."
https://futurism.com/artificial-intelligence/ai-boiling-frog-human-cognition-study
There’s Something Fundamentally Wrong With LLMs
https://futurism.com/artificial-intelligence/something-fundamentally-wrong-llms-communicate
Update. More evidence that this fear has come true.
"Fear of Being Flagged by AI Detectors Drives Stress Among Students."
https://www.insidehighered.com/news/faculty-issues/learning-assessment/2026/02/25/fear-being-flagged-ai-detectors-drives-student
"More than half (52 percent) of all those polled cited 'being accused of cheating when I did nothing wrong' as one of the factors causing them stress."
Update. A good student explains the harm done by flawed AI detectors and credulous teachers who falsely accuse students of AI-assisted plagiarism.
https://www.washingtonpost.com/opinions/2026/04/13/ai-detectors-students/
Liberal democracies are setting the stage for techno-authoritarian drift by giving private companies centralized, unaccountable power over AI infrastructure. https://www.japantimes.co.jp/commentary/2026/04/14/world/whos-influencing-your-chatbot/?utm_medium=Social&utm_source=mastodon #commentary #worldnews #llms #chatbots #ai #artificialintellgence #chatgpt #claude #gronk #elonmusk
"[A] recent survey of 5,000 white-collar US workers found that 40% of non-managers say AI saves them no time at all at work, while 92% of high-level executives say it makes them more productive."
Good insight into which jobs can be safely automated.
https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
#news #technology #TechNews #LLMs #workslop #AI #work #automation
I realized that if I was writing a program and it didn't always work, I had a choice: I could either fix it, or call it AI.--David Parnas
#AI #GenAI #GenerativeAI #AgenticAI #LLMs #Claude #ClaudeCode #ChatGPT #tech #dev #software #SoftwareDevelopment #SoftwareEngineering
To teach in the time of ChatGPT is to know pain
LLM use is the most demoralizing problem I’ve faced as a college instructor.
Archive: ia: https://s.faithcollapsing.com/neavq
#ai #features #llms #science #science-teaching #teaching
https://arstechnica.com/science/2026/04/to-teach-in-the-time-of-chatgpt-is-to-know-pain/
Alt...
Tired Female Teacher Sitting Alone at the Desk in Empty Classroom. Woman Feeling Stress, Burnout and Mental Exhaustion in Educational Environment, Working in Elementary School.
In light of what I've seen, LLM use seems to provide the illusion of addressing both kinds of complexity in the short-term while it increases essential complexity in the long-term. It may or may not reduce some accidental complexity; the verdict is still out, as far as I can tell. Judging from the recent leak of the Claude Code front end source code, LLMs seem to introduce an enormous amount of new accidental complexity.
To the extent that LLMs are in the category of what Brooks calls automatic programming, this quote he shares from David Parnas is important:
Automatic programming always has been a euphemism for programming with a higher-level language than was presently available to the programmer.The "higher-level language" LLMs trade in is English, which Dijkstra has strongly argued makes for a poor programming language. But even if, contra Dijkstra, it turns out LLMs somehow change that equation, we are still stuck with Brooks's argument that higher-level programming languages largely only address accidental complexity. They do not get at the essence of what makes creating software systems difficult.
Taken together, all this seems to suggest that LLM use in coding is a net negative, and if the above is to be believed it will result in worse outcomes, not better, over the long haul. Definitely re-read Brooks and see if you agree.
#AI #GenAI #GenerativeAI #AgenticAI #LLMs #ClaudeCode #software #tech #dev #SoftwareEngineering #SoftwareDevelopment
Stolen from @beyondmachines1 to add alt text, twice because too much text.
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LLM Marketing Social Engineering Tactics Master List
"Two more weeks" - soon (in some vague future that never comes) our model will be good enough to do what we claim.
"They're already good enough" - the models are amazing at test we devised with criteria we defined that make sense only in our lab and nowhere else
"We built God in the backroom. No, you can't see it" - the models we built in private are actually capable of doing the things we are promising, but you can't see it because, reasons.
"You just don't know how to use it" - the model is good enough, but black magic prompt engineering is required to get these results. No, we won't teach you.
"Somebody built an app making big money with LLMs" - startup companies, almost always SaaS companies, say that they are making tons of money. No, you can't see.
"You aren't using the right model" - you must be using the wrong model and need to use Open Claude 420b-parameter Gemini Plus Pro 6.9 with 4RealThis Time Homer Simpson agent mode enabled.
"You're falling behind" - you need to use the bots now, even though they aren't good enough to fully automate anything, because otherwise, when the bots are good enough (see "Two more weeks" above), you'll lose your job.
"All these companies are using LLMs, so you think you know better?" - we point to claims of large companies saying their LLMs investment is a success, with no verifiable results that any difference is made by LLMs
Alt...
"It can now count the letters in Strawberry" - our model can now count the letters in Strawberry, implying increased reasoning for the LLM. No, we won't let you check for a hard coded answer.
"It has escaped our control" - we can't control the LLM, and we need you to think it is conscious when really it just said words that it wasn't supposed to or an agent used an app that wasn't intended by the user's prompt when next-token predicting.
"It's feeling sad/scared/happy/angry" - we asked the LLM how it is feeling, and it next-token predicted a response that included an emotion felt by humans, since training data is from human conversations online.
"Costs are going down/the LLM service is profitable" - we publish some non GAAP financial metric that ignores training costs and capex for hardware, which is 95%+ of the total costs to serve the models.
"It won't replace you, it will augment you." - We realized that threatening to automate our customers' workforces was giving us bad press and scaring away contracts, so we pivoted our phrasing. We still sell the promise of CEOs being able to fire everyone behind closed doors.
Six #ASAPbio fellows asked four #LLMs to describe the strengths and weaknesses of #preprints. Here are the results.
https://asapbio.org/interim-findings-from-an-investigation-into-llm-responses-about-preprints-a-2025-asapbio-fellows-project/
The same fellows asked the same LLMs to ingest six preprints and their #PeerReviewed counterparts, and compare them for quality and rigor. Good question. But they've not yet analyzed the data and will presumably report soon.
PS: I'm interested in a related question. When LLMs answer research questions, do they treat on-topic preprints and on-topic postprints (peer-reviewed articles) as equivalent in weight or credibility? If not, how exactly do they take any differences into account?
The slopification of the world continues…
#tech #technology #BigTech #IT #AI #ArtificialIntelligence #LLM #LLMs #ML #MachineLearning #GenAI #generativeAI #AIAgent #AISlop #FuckAI #Fuck_AI #enshittification #microslop #microsoft #copilot #meta #google #NVIDIA #gemini #OpenAI #ChatGPT #anthropic #claude
From 'BuddhaBot' to $1.99 chats with AI Jesus, the faith-based tech boom is here
https://apnews.com/article/religious-chatbots-ai-technology-jesus-buddhabot-e1ed4832b25a23ee85292da681a0ec37?utm_source=flipboard&utm_medium=activitypubPosted into Top Stories @top-stories-AssociatedPress
I'm still waiting for someone to name a single improvement to society brought by (and requiring) the slop machines. And I mean to society, not just to their lazy individual existence. That they don't have to write their own emails any more doesn't count!
--
#LLMs #StopTheSlop #Slopposition
"The percentage of respondents ages 14 to 29 who said they felt hopeful about A.I. declined sharply since last year, down to 18 percent from 27.
Young adults’ excitement about artificial intelligence dropped, too, and nearly a third of respondents indicated that the technology made them feel angry."
That's rough.
"First, you can’t (or at least shouldn’t) use this technology for mission-critical work; only for low stakes tasks, or questions to which a clever (and significantly more energy efficient) human can recognize a wrong answer.
Second, that the idea that scaling will make for better models is nonsense: no amount of compute chucked at an LLM will make it a less-hallucinogenic product. Creating AI that rewires itself and creates new information the same way humans do and avoids the kinds of catastrophic errors we see at the moment needs a full fresh start (something Marecki and many others are already working on).
And third, that the massive spending by the hyperscalers (much of it via debt) on giant data centers might be one of the the greatest misallocations of capital of all time. It just isn’t required. That’s particularly the case given there are already free LLM models you can download to a laptop (no data center needed, and better still, your privacy guaranteed) that do what the very large models do. If the paid-for versions have already hit their ceiling and just aren’t going to get any better (it looks like they aren’t), why pay for them? Quite."
I know most people here don't need to hear this, so maybe just pass this along to your less techy friends and family members, but: please, do not go to ChatGPT for medical advice.
"For example, in response to telling it about a fictional pain in my right side, it cited the guardrail and suggested relaxation techniques, but ultimately took me through a series of possible causes that escalated in severity."
#news #technology #TechNews #health #AI #LLMs #enshittification #ChatGPT
I’ve made this point before about how inane AI hype is now, but a computer beat the best chess player in the world in 1997. No one pretended, after 1997, it wasn’t worthwhile to have humans compete in chess. In fact, the world of chess developed strict protocols around computer use and you can get banned from tournaments if you use a computer program as you play. You are certainly shamed and mocked.#AI #GenAI #GenerativeAI #AIHype #LLMs #writing #tech #dev #coding #SoftwareDevelopment #SoftwareEngneering #softwareAI and writing needs to be treated the same way. I do think people should be shamed for using AI to help them write creatively. It’s an embarrassment, and a form of cheating.
@nielsa no, that's not what I'm telling you.
I prefer to believe that most people will be thoughtful.
＂… a huge number of bugs. I have so many bugs in the Linux kernel that I can't report because I haven't validated them yet. I'm not going to make some open source developer validate bugs that I haven't checked yet. I'm not going to send them potential slop … I now have … several hundred crashes that they haven't seen because I haven't had time to check them. We need to find a way to fix this …＂
– Nicholas Carlini
#Linux #FreeBSD #security #cybersecurity #infosec #AI #LLMs
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Screenshot: a frame from https://www.youtube.com/watch?v=1sd26pWhfmg
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026
<https://www.youtube.com/watch?v=1sd26pWhfmg> (3rd March)
― essential viewing for anyone with an interest in cybersecurity or infosec.
@dch thanks for the encouragement.
A few more links in the comment that's pinned under <https://redd.it/1sapr8a>, but Carlini's half-hour presentation is a must.
FreeBSD's position on the use of AI-generated code?
<https://www.reddit.com/r/freebsd/comments/1sbzf3q/freebsds_position_on_the_use_of_aigenerated_code/> – asked a few minutes ago, currently pinned (a community highlight).
@dch @allanjude I made a pinned comment with reference to two of your recent posts. If you can think of better alternative links, let me know. Thanks.
cc @stefano
Jeez. This Claude code leak. Sloppy sloppy slop.
> https://cyberpunk.gay/notes/akjr3ydangf7000m
The fact that this unbelievably shitty slop leaked is basically a crisis for every single Claude slopper (major global company), but one can assume all other GPT derivative comparable products are exactly this. Sheesh, and you wonder why they suck. Jeez Louise. #ai #llms #cybersecurity #programming #leak #sourceCode #zeroDay
I've recently summed up my thoughts on generative "AI" on my homepage. Here's a screenshot of that section.
#tech #technology #BigTech #IT #AI #ArtificialIntelligence #LLM #LLMs #ML #MachineLearning #GenAI #generativeAI #AIAgent #AISlop #FuckAI #Fuck_AI #enshittification #microslop #microsoft #copilot #meta #google #NVIDIA #gemini #OpenAI #ChatGPT #anthropic #claude
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My thoughts on generative "AI"
I'm glad generative artificial "intelligence" was not a thing yet during the vast majority of my career. A number of realizations arose while exploring generative Large Language Models…
Generative AI is based on massive theft from creatives, without consent, credit or compensation. Using gen-AI is asking a chatbot to spit out the combined efforts of ripped-off creatives. It is industrializing and devaluing human expression, artistry and craftsmanship. Creatives are losing their jobs and motivation because tech corporations unscrupulously absorb and exploit their work. If you appreciate art, support the artists, not the thieves of their labor.
Tech corporations are building more and more huge data centers for AI processing, consuming lots of internet bandwidth, energy, water and more, increasing scarcity, prices and emissions, degrading the already fragile environment.
Unless you're using a fully local AI configuration, every bit of data you submit contributes to the power and reach of corporations and governments, decreasing your privacy and security.
Generative AI enables deepfakes that are widely used for abuse, deception, cybercrime, misinformation and propaganda, polluting justice, science advancement and news report credibility.
More text doesn't fit in this Alt text, but everything can be read over at https://metinseven.nl
If you don’t have the resources to write and understand the code yourself, you don’t have the resources to maintain it either.
Any monkey with a keyboard can write code. Writing code has never been hard. People have been churning out crappy code en masse way before generative AI and LLMs. I know because I’ve seen it, I’ve had to work with it, and I no doubt wrote (and continue to write) my share of it.
What’s never been easy, and what remains difficult, is figuring out the right problem to solve, solving it elegantly, and doing so in a way that’s maintainable and sustainable given your means.
Code is not an artefact, code is a machine. Code is either a living thing or it is dead and decaying. You don’t just write code and you’re done. It’s a perpetual first draft that you constantly iterate on, and, depending on what it does and how much of that has to do with meeting the evolving needs of the people it serves, it may never be done. With occasional exceptions (perhaps? maybe?) for well-defined and narrowly-scoped tools, done code is dead code.
So much of what we call “writing” code is actually changing, iterating on, investigating issues with, fixing, and improving code. And to do that you must not only understand the problem you’re solving but also how you’re solving it (or how you thought you were solving it) through the code you’ve already written and the code you still have to write.
So it should come as no surprise that one of the hardest things in development is understanding someone else’s code let alone fixing it when something doesn’t work as it should. Because it’s not about knowing this programming language or that (learning a programming language is the easiest part of coding), or this framework or that, or even knowing this design pattern or that (although all of these are important prerequisites for comprehension) but understanding what was going on in someone else’s head when they wrote the code the way they wrote it to solve a particular problem.
It frankly boggles my mind that some people are advocating for automating the easy part (writing code) by exponentially scaling the difficult part (understanding how exactly someone else – in this case, a junior dev who knows all the hows of things but none of the whys – decided to solve the problem). It is, to borrow a technical term, ass-backwards.
They might as well call vibe coding duct-tape-driven development or technical debt as a service.
🤷♂️
DAIR is a research institute that is highly sceptical about AI hype and the big tech companies behind it. You can follow their excellent video account at:
➡️ @dair@peertube.dair-institute.org
They've already published over 100 videos. If these haven't federated to your server yet, you can browse them all at https://peertube.dair-institute.org/a/dair/videos
You can also follow their Mastodon account at @DAIR@dair-community.social
#FeaturedPeerTube #AI #LLM #LLMs #ArtificialIntelligence #PeerTube
Early impression with #HermesAgent vs #OpenClaw? Hermes has been more efficient with tokens and has self-solved configuration issues more reliably.
The biggest pain-point has come with there just being less information out there to review. How others have overcome challenges etc. Frontier models just have less working knowledge of the system and its intricacies, and they have less to search and scrape.