2026-08-12 06:00:19
funniest thing in #LLM news. One man's month-long research to uncover the secrets of the Frontier Labs is another man's "hey I wrote this python deep_think script":
https://xcancel.com/_can1357/stat…
funniest thing in #LLM news. One man's month-long research to uncover the secrets of the Frontier Labs is another man's "hey I wrote this python deep_think script":
https://xcancel.com/_can1357/stat…
The whole #LLM ROI thing reveals something interesting. It's basically impossible to figure out the ROI of an LLM. That makes it impossible for bean counters to make a comparison between human work and LLM work, or human work without an LLM and LLM-assisted work, to determine if the incredibly high price is worth it. But it's also impossible because you can't measure the ROI of a human, especially for skilled labor.
You can't measure the ROI of a human, because managers have no idea what people do. There's an eternally expanding amount of work designed to address this problem. But no matter how closely people are surveilled, interrogated, analyzed, there's never any real answer.
I've talked in the past about in relation to medical care. One of the dirty secrets of hospitals is that they have no way to figure out how much individual treatment costs. It's easy to understand at scale. You can know exactly how much something costs society. You can even identify patterns, using public health models, and decrease costs for society by trying to get people to avoid risky behavior (stop smoking, use protection during sex, etc). But it is absolutely not possible, at all, in any way, to figure out how much a single visit costs. This is similar to the problem of predicting climate change vs predicting the weather tomorrow in Amsterdam at 15:00. One is possible, the other is simply not.
But what is becoming painfully clear now is that this is true *everywhere*. It's trivial to know how much an industry costs. It's possible to figure out it's ROI for society. It is not possible to figure out how much value any individual worker provides. LLM ROI and cost comparison is an instance of this larger problem.
This is a problem for capitalism because it shows that the fundamental assumptions behind capitalism, that product value and labor value are quantifiable, that people can actually make comparisons between competing products, etc, are completely bullshit. The capitalist apologetics that makes up so much of economics, the lies that are told that hold this system together, are crumbling before our eyes.
If you make a lot of money, it's because you've been lucky. You have the right social networks, you have become good at convincing people to give you money. There is absolutely no way to connect that to actually providing value to society. If you make a lot of money, internalize that. Understand that you are not special, and things can change. If you don't make a lot of money, it's not because you don't provide value. Don't forget that. The system is a lie built to destroy you. Don't let it.
The ideology is sick, something something time of monsters and all that, we are together in this dying machine. We need to understand the lies. Your value can never be quantified. The way we have always figured out how to do the right thing for each other is through each other. Social connection has always guided us. But now the most socially disconnected people on the planet have hijacked the system. They direct the resources of the world, and game the system to avoid personal responsibility.
We have to build a system where everyone is accountable. We can't use abstract numbers and lies to figure things out for us. We have to build systems around people and accountability. There is no other solution.
Who cleans up after the vibe-coding party?
#ai
Here is the #theprimeagen making some predictions for the next 6-12 months now the true cost of processing #llm tokens is starting to be felt. I suspect he's going to be vindicated sooner than that. I'm no #aidoomer
When they say "we are entering a new industrial revolution" what they want you to hear is "things that were once expensive will now be cheap," but what they mean is "we will be using the massive economic disruption, that we are creating, to change the world against your will and further shape it towards the interests of a small and powerful minority."
#LLM #AI
Are you in tech and outraged about generative AI? Is it being forced down your throat at work?
Here's a nice vindictive way to get a little revenge if you want:
1. Find a project that contains slop code.
2. Optionally, identify specific files or functions that are LLM-generated. I guarantee you that on average, this code has not been adequately tested/inspected, even/especially if it contains LLM-generated test cases.
3. Make up a reason the code could be flawed, bonus points if it's subtle or hard to test. Don't put effort into this or try to actually find a flaw. Just make something up at random.
4. Report your made-up defect as a bug.
That's it. If anyone ever questions you on the incorrect report, just say "oh I used an LLM and it said there was a bug so I reported it." (Don't actually use an LLM, that would be feeding the bubble.)
Note that you are showing the creator of the code the exact same amount of disrespect that they've shown you by publishing slopcode in the first place. I'd bet odds are 50:50 or better that if a human actually follows up on the report, even though they'll find out that the bug report is wrong, they'll find and fix some other subtle flaw in the LLM-generated code, so this is actually helpful in a way.
For step 3, try to get creative. Like "logic in decideUVParameters can cause state to be inconsistent in some cases." If asked for a steps to reproduce, either make one up if it's easy to do so, or say "I forgot how I triggered this." Surely they can ask an LLM to figure out conditions that would trigger the bug ;).
#AI #LLMs #GenAI
Yesterday, I was one of four panelists at the annual Emmy Noether Treffen organised by the @… , talking about how we use (generative) #ai in #research.
Here's the thing: I don't.
The mood was surprisingly skeptical with none of my peers being particularly optimistic, highlighting issues with applying #llm to indigenous studies (Walther Maradiegue), dealing with fabricated bibliographies (Daria Elagina), or possibilities of quick fixes to the underlying tech (Michael Roth).
1/3
Bookmarked: TEI-NER Pipeline — Automatisches Entity-Linking für historische TEI-Editionen http://tei-llm.histomatiker.de/ #GND #LLM…
Whenever I use an #LLM it really annoys me it's offering multiple choices. So it puts the burden of checking and filtering out invalid responses back on me. It's practically impossible to follow a chain of thought in a conversation. Why did they call it a chat? Probably because it will always stay on the surface of things and never turn into a thoughtful discussion.
There's a new meat eating hype. Meat companies are telling everyone people would have more energy if they only ate more meat. Employers are getting huge meat lunches for their employees and expecting a productivity boost. Against their better judgement, employees are stuffing themselves with loads of meat and struggling to work. But eventually, they figure out how to eat more and be more productive. In the meantime, a lot of people (including meat eaters) are crying over the obvious climate and health harm, both from increased meat consumption and from increased waste as people throw away even more food.
Meat eaters now put up a big banners of what meat they like, and invite others to join them with meat. More people are becoming vocally vegan, or at least trying to limit their meat consumption. Some also put "vegan" or even more aggressive "no meat allowed" signs.
Some meat eaters think it's fine to bring offering of meat to a stranger if they didn't put up an explicit "vegan" sign yet. "I won't get offensed, I'll just throw it in the trash", they say. Some go even further and try to trick you by saying it's actually a vegan meat-lookalike.
#AI #LLM #NoAI #NoLLM
Thought experiment: if all LLMs would be required to be public domain by law worldwide, would that change acceptance with respect to #copyright ignoring its other downsides such as its huge environmental damage?
#LLM #ai
« Protecting our FLOSS commons from LLMs »
Are we going back to the nineties? It remembers me when some forges disallowed to have compiled binaries for a proprietary operating system.
#llm #ai #freesoftware
oh, here's an interesting #LLM -thing to play with:
https://www.neuronpedia.org/llama3.3-70b-it/nla
basically there's an autoencoder that reads the LLMs internal activations at…
The thing about training an #LLM on human culture and then renting that culture back isn't that it's "Intellectual Property Theft." There's nothing wrong with sharing. There is something wrong with framing LLMs as piracy. That's a completely different concept.
When a powerful group of people takes the writing, the art, the music, various parts of a culture and then make some bland reproduction that lacks all the meaning and essence in the original, then those powerful people profit off that mess while the people who made the original stuff are erased, marginalized, and made to suffer, there is a different term for that.
The term everyone is looking for is "appropriation."
I'm not saying this is the same as other forms of cultural appropriation, but there are definitely enough shared elements that we should revisit that conversation. Perhaps some folks who thought the idea was silly when the idea first came up may feel differently now.
can anyone advise good methods to cope with the nagging feeling that the customer i'm chatting with is really just the output of an #llm. i'm most triggered by "you are absolutely correct" and my "excellent observations" and similar sycophantic compliments. i never thought i'd miss the denial and passive anger of traditional vendor responses...
A use of an #llm in a boring part of an interesting task; here's my prompt:
This is a C coding task. The file declares two classes, ScDPResultMember and ScDPResultMemberShim, where ScDPResultMemberShim just calls member functions in ScDPResultMember. Modify any member of ScDPResultMemberShim which calls a method that modifies the underlying ScDPResultMember so that instead of using mpM…
The West Forgot How to Build. Now It's Forgetting Code
#ai
From all the AI stuff thats been talked about here at KotlinConf this is the most honest slide
#Kotlin #KotlinConf #AI
I like people I can vibe with. Not machines to vibe at.
#Programming #AI #LLM
But I would warn anyone circumventing anti-LLM protections that, as the tide turns against #LLM usage and "#AI" as a whole, that it may become politically useful for some state AGs to score political points. Those political points may come by putting you in prison, or, at the very least, dumping lawyers on you and ruining your life. An AG doesn't need to win to score points for their political party or to virtue signal. All they need to do is build a case against you. Because the CFAA is *so vague* it's easy to make something plausible enough that it won't get thrown out immediately.
So if the gentile "please don't do that" isn't enough, maybe consider this.
I know everyone is about to log off for the long weekend, if they haven't already taken the week off.
But I thought I'd quickly share a little more about what I'm working on.
Please share!
#llm
Il suffit d’une dizaine de mots publiés au bon endroit sur un site participatif pour manipuler les résultats de recherche de modèles génératifs appuyés sur des systèmes agentiques, constatent trois chercheurs de l’ #université de #Cornell. #LLM
RE: #LLM
Who owns the code that Claude wrote?
#AI
RE: #AI
Alle die nichts über #ki und #llm lesen wollen, bitte kurz abschalten, da ich mal über GPT-5.5 Pro reden muss.
Dieses Modell überrascht uns in der #Mathematik gerade ziemlich.
Ein länglicher 🧵
The hardest lesson for morally-minded people to learn is that the vast majority of people are not morally-minded.
#FreeSoftware #AI #LLM #Ethics
Haven't had time to blog about it, but I've released a set of skills I use every day to resolve bugs and feed my RDR process with complex features or debt. I pushed them to this repo, ymmv.
https://github.com/cwensel/kata-flight
My pleasure. 😎
#40c3 Sticker
#AI #LLM #Vibecoding
Sourc…
protip for arcaneum users
https://github.com/cwensel/arcaneum
> arc log tail --lines 50
to watch and ensure your skill are pulling in research materials (via search) during any design phases or when creating tests.
And one more thing on the Jacobian Conjecture.
I am certain that at least 10 if not 100 mathematicians have tried this exact problem in Fable and also gpt-5.6 Sol with everything turned to 11. Why did an Anthropic employee get the result?
Is it a low probability and they can just try and try to play again beyond the limits of us mere customers? Did this guy get lucky?
Are professional mathematicians maybe holding back the AI by inputting their own ideas how to do it??
#llm #math #jacobian
Thinking about some things that @… said in another thread, and as someone who advocates against AI hype and against the use of most generative AI in most circumstances, I feel it's important to say: many of the ethical issues with using generative AI mirror almost directly the ethical issues with living/working on land stolen by colonists, except that they're less harmful.
Arguments like "well we don't really know whose work it's ripping off this time" and "artists that post their art online know it's going to be looked at; this is the same thing" and "well it's inevitable and everyone's doing it so it's unreasonable to make a big deal about it" directly echo arguments like "well now we don't know whose land it was any more exactly" (yes, we do; you can literally go look up the website of their descendants), or "the natives weren't really using the land anyways", or "it's all in the past now, and it's unavoidable." That unavoidable one is actually somewhat true of using stolen land, at least compared to LLM usage.
If you can see through those lies in the case of AI hype but choose not to do so in the case of colonialism, that says something about your priorities and allegiances.
This is not at all a call for people to talk less about AI; rather it's a call for those who take opposing AI hype seriously to look around and make some noise about other injustices too (I realize many of you already do this).
#AI #LLMs #LandBack #GenAI
Be sure to exclude your repositories from HuggingFace here:
#AI
RE: #ai
Given these days you can't even expect #Gentoo contributors to be respectable, I'm working on adding a git hook that rejects commits with #LLM attribution. Could you help me find all the common patterns used to mark LLM-assisted #git commits?
So far I'm checking for author and Co-authored-by using the following e-mail patterns:
• copilot@github.com
• *@anthropic.com
• claude@users.noreply.github.com
• * claude[bot]@users.noreply.github.com
• *@openai.com
• * chatgpt-codex-connector[bot]@users.noreply.github.com
• *@cursor.com
• *@x.ai
• *@google.com
I think some people came up with some other tags to mark LLM commits but can't find that right now.
EDIT: added Assisted-by.
#NoAI #NoLLM #AI
The new Luddite movement.
#AI
Turns out, that OSS-cloning company is real, and the CEO is even more of a slimy asshole than you would expect.
#AI
"OpenAI launches ChatGPT for personal finance, will let you connect bank accounts"
I didn't see/spot a word anywhere in the report about what all OpenAI is permitted to do with user data.
#finance #personalFinance #OpenAI #LLM #privacy #journalism #technology
Okay, I'll give you that: LLMs aren't the root of the problem.
Capitalism is. The idea of infinite growth. The idea that people can't just live, they must with 40 hours a week to justify their existence, and they must be purchasing something all the time. Companies must keep selling new stuff. All the resources must be tapped into and exploited.
And companies are making software. They must keep selling new features and pointless complete redesigns nobody wanted. The code must keep being churned over and over again. Programmers must justify their existence by churning out absurd amounts of meaningless code. The companies must exploit them.
Then, companies are entering the #OpenSource "market". They are acquiring and enshittifying. They are hiring and exploiting. And then so many volunteers just jump on the bandwagon and keep cosplaying them. And they too churn out useless code, "sell" pointless complete makeovers, "profit" off their users (even if they actually aren't making any real profit).
And then come LLMs, perfect tools for the job. Perfect tools for exploitation, for churning out useless code, for creating addiction, and for turning everyone into mindless corpospeak bullshit machines.
#AI #LLM #NoAI #NoLLM #AntiCapitalism
AI and being "left behind"
#ai
I keep seeing people say we should treat AI agents as junior developers, but I can't do that.
Because I treat juniors as future seniors that I get to help build. But the current AIs cannot ever become seniors, and if a future gen could, then the rest of us are even more fucked.
So no, that's not a good mental model.
#AI
Okay, so apparently there's been some "scuffle" between a cyclist and an old lady. The police's looking for the cyclist now, and shared a camera footage looking for help in finding them. Except that the footage is such a low resolution it's practically useless.
So helpful people from the internets used "#AI" to enhance it. So now we're looking at an angry mob looking for a person whose face was generated by an #LLM. Or well, multiple independently generated different faces apparently, but would that stop a mob from lynching a random person?
This fucking crap needs to be outlawed immediately. And whoever's selling it should end up behind bars.
#NoAI #NoLLM
RE: #llm keine Computer bedienen können aber diese "neurosymbolischen" coding agents sind krass. Gerade hat einer von denen ein Computeralgebra-Experiment für mich durchgeführt und dazu komplett über ssh auf einem Rechner mit vielen Cores irgendwo in der Uni ein Projektverzeichnis angelegt, 1023 Skripte, alle nötigen Julia-Pakete lokal installiert, python natürlich weil alles veraltet auf dem SUSE-Linux host, das Experiment durchgeführt unter Nutzung von nur ... 1/2
Let's say you're building a house. Normally this involves hiring a whole bunch of experts (either directly or via some company). You need to pay a fair wage for their labor, and you have to pay for all the material they're going to use. Some of them will be more experienced than others. They will sometimes make a mistake. They will sometimes get sick. The whole construction work will probably take a few months, and may get delayed in the process. Some construction material will be wasted. There's also a risk that over the next years, you'll discover that they screwed something up, and have to fix it. But you'll get a reasonably good house.
Now, a kid comes and tells you you don't have to do this. Instead of paying all these people, you can hire him. He's wearing a suit and sunshades. He never laid a brick in his whole life. But he's got this new great technology that will give you a great house in no time. Of course it will cost you, but not as much as the labor of all these people. You try to learn more, and you discover that the technology actually builds and razes a hundred of house-like things a day, until it gets close enough to something that actually resembles a house. There's a lot of wasted energy and material, but you don't have to worry because it's all subsidized (for the time being). You pay less, you get a house that looks just right on the outside and inside, and that seems to work just right.
Of course, there's a real risk that in a few months you'll discover that something is wrong. You may have to pay a lot for a real expert to figure out how things were done, and how to fix them. Or they may not be able to help you. You may be stuck having to call the suit again, and he'll happily come and fix it for you. And by "fix", I mean he will just raze a whole part of the house and start randomly spitting it out again until he gets something that looks about right, and works about right. Of course, it may not really be a good fit for the rest of the house, but you don't want to pay for replacing the whole thing, do you? It may also introduce a completely new issues that will surface in a few months, but that's just how it is.
Welcome to the glorious world of #AI.
#NoAI #NoLLM #LLM
Some people think that #LLM usage costs rising will start undoing some of the harm caused by the #AI hype. I don't think that's really going to help that much.
I'm not even talking about all the projects that were ensloppified and enshittified already. I'm not talking about all the technical debt. I'm not talking about all the forks that will have to be maintained forever. I'm not talking of all the projects that were abandoned because of burnout, or because they were only hype-oriented. And I'm not talking about all the corporations that will continue submitting slop.
I'm talking about the loss of trust. After all, we're not talking of people who realized they were wrong and are sorry. We're not talking of people realizing that it was wrong to forfeit ethics and morals in the name of "productivity". We're talking of people who are jumping ships because their previous approach turned out not to be profitable anymore. We're talking of gamblers who left the casino because they went broke. They aren't sorry that they gambled; they are sorry that they've lost. And they'd be happy to do it again at the nearest opportunity.
So, I'm sorry to say, but #FreeSoftware is never going to be the same again. A lot of people have shown their true colors, and I won't forget that.
#NoAI #NoLLM #OpenSource #FLOSS
I've taken #Gentoo Bugzilla down, because it was unusable anyway. No point in feeding the #LLM scrapers that are using thousands of different IPv4 addresses, with no obvious patterns I can see.
EDIT: I'm not looking for hints. I'm not a sysadmin, and I don't have time to deal with this shit. I'm just trying to get some useful job done. I'm not supposed to have to be dealing with this.
#AI #NoAI #NoLLM
Here is another scenario how research #mathematics as we know it will die (or is dead already?): Balkanization!
Without speculating about the future, current agentic AI systems can produce very impressive research math, certainly on PhD level, sometimes on Fields medal level. It needs to be post processed, etc. but I think it is an established fact.
#llm #math #ai 🧵
When you're building software aimed at a niche related to hype, the only thing you can do is hook people onto it. I mean, you're targeting the kind people who have an attention span of a fruit fly. Unless they're literally addicted to your software, they're going to forget it as soon as they notice the next shiny thing.
#AI #LLM #NoAI #NoLLM #FreeSoftware #OpenSource
Computers used to be fun. I used to use Windows 9x, and it was unstable as hell, and you kept having to lean over backwards to get things to work. Then I used bleeding edge Linux, and at some point I've ended up running pure framebuffer tty for months because X11 was broken. But despite all the breakage (or maybe even because of it), it was fun. It was fun because random accidental breakage was the worst you could expect.
Nowadays, accidental breakage is rare. Things are relatively stable. However, every step of the way you have to watch out for bad actors. No, not criminals, they are rare. Evil corporations who are looking at every opportunity to fuck you up. Using computer is no longer fun, it's no longer a tool that helps you, and it's no longer your choice. You are forced to use it, and if you don't want to be hurt every step of the way, you have to spend all the effort on fighting back. And you're fucked up anyway, because even if you manage, your family and all the people around you won't care and will let their devices, their computers and their smartphones fuck you up.
I've started using FLOSS so many years ago, for the trivial reason that I didn't want to pay for software. I stayed because I enjoyed doing it. And I wanted to make a difference, I wanted to contribute positively to the world. Even if in a little way, but I wanted to be able to say that as much harm I've done to the planet, there's at least something positive to balance it out.
But nowadays I hate FLOSS. It's been overrun by the worst people in the world. The people who aren't happy with just fucking you up. They want everyone to keep fucking everyone up. It's the kind of horror where whatever you do, it turns out you're causing harm.
I don't trust my #Gentoo #packaging work anymore. So much of the software I touch turns out to be #slop. When I file a pull request, I'm worried it will trigger #LLM reviews. When I file a bug, I'm worried it will trigger LLM responses. And today, I've learned that my old bug report to a #NoAI project resulted in a dozen slop pull requests already. Whatever you do, #AI folks smile and tell you "see, you fucked up the world even more after all".
Honestly, I don't know what to do. I hate all of this so much. But even if I managed to figure out something else to do for a living, I can't escape computers. And if I stop doing them, if I stop fighting them, I will only end up being fucked up more.
#NoLLM #AI #FreeSoftware
Die Kinder wissen, dass #Siri dumm ist und beömmeln sich darüber, was für witziger Quatsch passiert, wenn sie Siri was fragen.
Also macht #Apple ja jetzt Gemini überall rein und dann wird das alles in Ordnung kommen.
ODER?
Heute morgen habe ich die Kids beobachtet, wie sie (den Sprachmodus von) chatGPT 5.5 verarscht haben.
Sie haben erst nach dem stärksten Tier gefragt und da kam dann sowas wie Löwe oder Blauwal.
Kinder: „Aber eine Ameise sei doch auch stark…“
... 🧵 1/3
#KI #llm #kinder
Apparently somebody posted a #counterexample to the Jacobian conjecture on X last night (found by an LLM). I won’t link that junk site, but somebody added it to Wikipedia already if you care:
#math #LLMs #ai