2026-05-28 08:40:49
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
« Comment je me renseigne sur un nouveau modèle LLM en 4 étapes »
#LLM
Bookmarked: TEI-NER Pipeline — Automatisches Entity-Linking für historische TEI-Editionen http://tei-llm.histomatiker.de/ #GND #LLM…
The 'thinking' from a local Gemma 4 #llm reading bad handwriting is fascinating - I told it not to interpret stuff, it mostly didn't; but look at this thinking!
'Actually, looking at the 'e' in "the", it's a loop. The 'x' in "co-ax" is a cross. The letter in "axial" is a loop and a stroke. This is a very messy 'x' or a v…
In the era of #LLM psychosis, it's important to emphasize that it is fine to talk to yourself.
Your own brain is entirely capable of being a sounding board. It can provide a second and a third opinion. It can look at things from another person's perspective. It can simulate complete complex interactions. And it can do all that in the privacy of your own head, with no extra energy cost. And it can give you a deeper understanding of yourself.
You don't need chatbots for that. You don't need to lean on their nazi owners. You don't need to pay for them, you don't need to share the intimate details of your life, you don't need to burn the planet in the process. You won't get hurt accidentally, you won't get abused or blackmailed. And your brain won't leave you helpless when someone suddenly decides helping you isn't profitable.
#AI #NoAI #NoLLM
« Comment je me renseigne sur un nouveau modèle LLM en 4 étapes »
#LLM
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.
RE: #LLM
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
This paper argues that frontier models approximate tenure-level academic outputs in social science and humanities topics with "minimal engineering effort". They developed some custom agent skills to extract the qualities of individual scholars from their published works.
#LLM #AIResearch #academia
Large-scale model-enhanced vision-language navigation: Recent advances, practical applications, and future challenges #LLM
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…
RE: #AI
"If an #LLM trains on UK media and UK media has mentioned Farage 442 times against Greer's 27, the model reflects that. Not because of a deliberate choice, but because that's what was in the data." -- @…
The idea of people asking a
From all the AI stuff thats been talked about here at KotlinConf this is the most honest slide
#Kotlin #KotlinConf #AI
The hardest lesson for morally-minded people to learn is that the vast majority of people are not morally-minded.
#FreeSoftware #AI #LLM #Ethics
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
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.
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 bright #LLM future, next part.
git.gentoo.org is now effectively dead, being DDoS-ed by almost a million different IPs every day. Most of them are just performing a single request at a totally random URL. How are people supposed to deal with that? How can we distinguish a legitimate user who hit some URL from a scraper that distributes its operations over thousands of IP addresses?
If you use LLM crap, you're part of the problem. You support these bastards. You should be ashamed of yourself.
#Gentoo #NoAI #NoLLM #AI
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
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
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
RE: #ai
"Werden wir von ChatGPT empfohlen?" – Diese Frage höre ich in jedem zweiten Kundengespräch. 🎯
Das Problem: Die meisten können es nicht beantworten. Es gibt kein Search Console für KI-Systeme. Keine Impressions, keine Klicks.
Ich tracke das seit Monaten systematisch. Die Erkenntnis: Marken mit starkem Entity-Profil tauchen in LLM-Antworten auf. Der Rest wird ignoriert – egal wie gut der Content ist.
The new Luddite movement.
#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 🧵
Just used an #llm to explain a 166 line C compiler error; damn that's impressive. It almost makes sense with that explanation.
There was a time when creating massive amounts of code would have been valuable. There was a time when lowering the bar for creating software would have been beneficial. But today we are inundated with garbage apps, written too quickly and never maintained, half-working libraries, projects someone took up once and abandoned (I have several), and grift startups just waiting to be acquired and "fixed."
#LLM code generation is a pestilence. We don't need more code owned by people who know less, we need less code managed by people who know more. It's literally the opposite of everything we want. Oh, but it will be easier for infosec to find bugs so it's fine, right? I've found critical bugs that never get fixed (I think one of mine is like 7 years old now).
There are a lot of bugs that just can't be fixed because there are no systems to fix them. Go on Shodan and look for ATGs. There are thousands of them. I'm betting that most of those are not honeypots. It may be possible to blow up a bunch of gas stations with a for loop, but, yeah, we need #AI to find some more bugs.
https://www.darkreading.com/ics-ot-security/fuel-tank-monitoring-systems-vulnerable-disruption
"AI is writing 90% of our code" sounds impressive before you realize that AI-generated code is orders of magnitude more verbose & less efficient than code written by a professional software engineer.
But "we ship 9 lines of fluff for each line of code that does something" doesn't sound as impressive.
#LLM
Was talking to Claude about ration packs... And it randomly spat out what appears to be Lufthansa's privacy policy in Portuguese...
Starts out "Introdução
Nós, o Grupo Lufthansa ("nós", "nosso", "nos"2, "nós mesmos"), estamos comprometidos com a proteção de seus dados."
#claude
« J'ai découvert snip et rtk et testé rtk (reduce LLM usage) »
#TIL
Turns out, that OSS-cloning company is real, and the CEO is even more of a slimy asshole than you would expect.
#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
« J'ai découvert snip et rtk et testé rtk (reduce LLM usage) »
#TIL
Schlauer, als die #KI erlaubt?
#Anthropic, der Entwickler des #LLM #Claude, hält dessen aktuelle …
Interesting LLM nuance: why does using phrases like "you're a pen-tester" cause chatbots to emit substantially different predictions, and basically "follow" that instruction? Because of how LLMs work, this implies that the training data has plenty of examples where real humans told each other that they were some role and the humans just immediately jumped into that role without question or intervening dialogue. But that's not something people do in normal conversation. Even in playing-with-kids contexts if you drop that out of the blue you're probably going to get "no I want to be a robot" or "but you were the elephant last time!" rather than immediate assumption of the assigned role.
It's possible that training LLMs to predict immediate role-assumption is something the big models spent a lot of manual effort on. But what I think is more likely is: it's the legacy of role-play forums! All those reams of pages of teenagers (yes, often horny) pretending to be Captain Kirk or their own incredibly cringe "cool" character (but honestly, why call it cringe, let kids be kids and have fun)...
So next time you "tell" a chatbot "you're a..." to get it to do what you want, I'm pretty sure you have an RP forum teen from the past to thank :)
#AI #LLMs
LLMs have no concept of "true" or "good." But they are trained to signal high-quality work. Meanwhile, bosses are pressuring workers: go faster, produce more, let the AI cook.
Study after study documents what this does to the human brain: cognitive surrender. We're "in the loop" but the bot calls the shots.
Read more in this week's issue of the Product Picnic newsletter:
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
Finally! Some not-conflicted adults looking at the privacy concerns of LLM bots just slurping up your data without regulation or permission.
“OpenAI did not respect Canadian privacy laws when it trained its immensely popular ChatGPT tool, resulting in the collection and use of sensitive personal information, according to a joint investigation.
The federal privacy commissioner and his counterparts in Quebec, British Columbia and Alberta outlined their findings Wednesday morning into ChatGPT— a chatbot that generates conversational, human-like responses when users type in questions or tasks.
The privacy watchdogs' launched their probe in 2023 following a complaint that the company unlawfully collected, used and disclosed personal information without consent. "
#OpenAI #ChatGPT #LLM #Canada #CanPoli #CdnPoli #Privacy
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
Why do we let the greedy capitalists do this to our industry?
#LLM
"Microsoft and Stellantis want to use AI to help car owners"
H. E. L. P. is an interesting way to spell "hurt". 🤨
#Microsoft #Stellantis #cars #AI #LLM #sarcasm
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
J'ai découvert MimiMax M2.7, qui semble équivalent Š GLM-5 pour un tiers du prix
#TIL
Yesterday, I've read a vibe coded script for the first time in my life, and I've cried.
It wasn't ugly. "Ugly" is not the right term. It was as if someone wasn't able to comprehend beauty, but badly tried to mimic it. It felt like "malicious compliance" to beauty. The kind of awful verbose pedantry that feels wrong every step of the way.
It's the kind of code you'd expect in a corporate environment when you know that the code would be read by the top suits who have no idea about coding, but judge it by the volume and expect science fiction level of make-believe.
It's the kind of code is abstracted away into the tiniest details. Every function returns a complex dataclass explaining precisely what it did, for no reason at all. What would be two lines of code is a function. What would be a function is a whole module. It's a caricature of good programming practices.
I was supposed to add modifying a second field on the same object via GitHub API. I've guessed it would take me about an hour to figure out the code enough to be able to do that — what ought to be 2-3 extra lines. I suspected I'd discover that most of the code does precisely nothing. Just meaningless API exchanges that are absolutely unnecessary. It felt like the kind of parody of bureaucracy where you have to file 10 forms to do something, and only one of them actually means anything.
What used to be "do one thing well" became "doing ten totally random things is fine, as long as one of them happens to be what I need, and the whole thing doesn't blow anything up in an obvious way".
Perhaps it's just because this way a throwaway script. Maybe "production" stuff takes more, err, prompt refining? Maybe it actually can produce stuff that's comprehensible.
But if that code was any indicator, then I'm not going to believe that any big LLM contributions are actually reviewed by humans. A review will take more time than rewriting from scratch. This is a ticking time bomb. That LLM-generated code isn't introducing exploits right now is either a statistical accident, or it's just that nobody bothers.
Clarification: I didn't "prompt" it or request one. I'm not a hypocrite.
#NoAI #NoLLM #AI #LLM
#Gentoo is still one of the bright outposts in #FLOSS where human work is valued and #LLM contributions are banned. However, sometimes I feel that this matters very little.
After all, Gentoo is a distribution. While it has its own value, it cannot exist without all the software it is shipping. It makes no sense in isolation.
And let's be honest, I don't think you can avoid slop today. We are trying our best to sieve out the worst: the copywashing chardet, the vibecoded NIH Perl crypto packages… but it's just that.
As someone who bumps Python packages, let me tell you this: LLMs are omnipresent. I notice Claude in commit logs, I notice the blasphemy of agent instructions all over the place… and there's probably much more than I don't notice. With many core components giving in, you can't avoid it without literally freezing on old, vulnerable versions, or spending hours looking for alternatives or creating them.
FLOSS is dead. People don't care. They don't have conscience. All they care about is the sick idea of "productivity", i.e. generating more slop.
The few of us who do care can do very little. We will continue doing our best until they kill us (as they're literally slowly killing the whole humankind). But that's it. Maybe it will pass once the bubble pops, maybe it won't. Either way, the damage is beyond repair. We will never be able to trust one another like we did. We will never again be a community building a better world.
It's just like everything nowadays. It's hard to find a good washing machine (one that will actually be repairable), good shoes (that won't fall apart shortly after the warranty expires), good food. You need lots of money, and even then you have to sieve through all the scammers who just sell the same shit with higher profit margin. #OpenSource is just another branch of business where people are trying to "sell" you shit, and don't care anymore if it explodes in your face. They don't even care if they're actually making a profit.
#AI #NoAI #NoLLM #enshittification #AntiCapitalism
"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
Wanted to report on my (concluded!) auto-formalization #lean project.
The blog post got a bit lengthy and it is only part 1: "What actually happened?"
It took about 2 months to go from zero to a full lean formalization of a paper of mine. I only steered the LLMs and checked the interface to human mathematics (statements and definitions).
I am positively surprised and I do think this will change (my) research math. Ask me anything about it!
#llm #claude
The West Forgot How to Build. Now It's Forgetting Code
#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
Reading about the leaked Claude source code, I muttered:
- pre-mature deployment of April 1st prank? 😜
- strategy by AI to misdirect or lull competition? 🧠
- nah, more likely just slop. AI writing its own code. 💩
#Claude #AI #LLM #possibilities #slop
A standard that requires almost $300 to read is not a standard. It's extortion.
Looking at you, ISO...
#AI #LLM #ISO #Standards
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
Tech companies seem to be running a cycle:
1. They don't realize how much they're relying on volunteer-maintained projects.
2. Something bad happens and they suddenly decide they need to support this critical infrastructure, often by hiring some people behind it and making its maintenance part of their dayjob.
3. They realize they could save money by exploiting volunteers to maintain these #OpenSource projects. They lay workers off or move them to other projects.
4. Go to 1.
Except now they're trying to replace workers with slop machines, deskill everyone and basically they're not only poisoning the well, but killing the whole water cycle. And they're realizing that they just gave the bad people a tool that can quickly find just how vulnerable their critical infrastructure is.
Really appreciate the long-term thinking there.
#FreeSoftware #FLOSS #TechBros #AI #LLM #NoAI #NoLLM #Linux #security
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
#Python #cryptography library (yes, the one that criticizes everything and everyone) is now vibecoded. Our future is truly bright!
Noticed because apparently "Claude" wrote a test that OOM-ed my system. But hey, #RustLang protects against memory errors, so it's fine to vibecode your security critical components.
#security #AI #LLM #NoAI #NoLLM