Tootfinder

The Complete Guide to #LLM #Observability with #OpenTelemetry

« Ma cartographie de l'écosystème LLM de mars 2026 »
#LLM

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

"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

Capitalists gonna capitalist.
#ai #llm

Just used an #llm to explain a 166 line C compiler error; damn that's impressive. It almost makes sense with that explanation.

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.

I am on the fence if using #LLM or other #AI services is a good thing or not. What does fedi think?

When someone wants to add an #LLM scraping tool into #Gentoo.
Yes, the kind of shit that's designed to work around all the scraping protections, mask itself and DDoS Gentoo. I mean, technically I don't think that violates any rules but seriously…
#AI #NoAI #NoLLM

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

The Hidden Challenge of Multi-#LLM #ContextManagement
https://dev.to/backboardio/the-hidde…

Schlauer, als die #KI erlaubt?
#Anthropic, der Entwickler des #LLM #Claude, hält dessen aktuelle …

Every post about so-and-so "brainstorming" with a chatbot to come up with some idea makes me sad that they don't have a real human thought partner to collaborate with.
#LLM #AI

Why do we let the greedy capitalists do this to our industry?
#LLM

Copilot: "Sean, I feel this in my bones."
The bones:
#Copilot #LLM #pretend

Very accessible and valuable critique of the #AI subspecies known as #LLM.
Will human minds still be special in an age of AI?

Very accessible and valuable critique of the #AI subspecies known as #LLM.
Will human minds still be special in an age of AI?

Another AI sentiment poll!
What does the use of #AI generated illustrations signal?
When you encounter a (not-for-entertainment) communication from a business, publisher, educator or other source of information that uses a #GenAI /

Vibe coding is gambling:
#AI #LLM

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

MIRAGE: The illusion of visual understanding (by AI models) #LLM #AI

Mirage The Illusion of Visual Understanding
Multimodal AI systems have achieved remarkable performance across a broad range of real-world tasks, yet the mechanisms underlying visual-language reasoning remain surprisingly poorly understood. We report three findings that challenge prevailing assumptions about how these systems process and integrate visual information. First, Frontier models readily generate detailed image descriptions and elaborate reasoning traces, including pathology-biased clinical findings, for images never provided; w…

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

Eine kritische Betrachtung der LLM-Entwicklungen und der sogenannten KIs ist nützlich, sinnvoll und absolut notwendig.
Aber unreflektiert hirnloses draufdreschen, verdammen und verurteilen, sowie infantiles beschimpfen von NutzerInnen ist nicht zielführend.
#LLM #KI

"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.

« J'ai découvert snip et rtk et testé rtk (reduce LLM usage) »
#TIL

"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

Joking aside, I think the real reason #ai and #llm #chatgpt #bots are going to fail, ultimately, is because they're incapable of

An actually positive use of AI!
#AI #LLM

🚀 Running #OCR at scale with a #Vision #LLM for $0.49/hour
Just deployed dots.ocr (3B parameter Vision LLM by RedNote) on a single

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

I think this is a good pressure test of #LLM / #AI agentic coding, and depending on where you are, it's either an indictment or a great success story:
if you have $3k, one of the best test suites in existence and a week of time, you can swap a storage implementation in a database

A Week In Gas Town
I spent a week and $3,000 using Gas Town. The results are incredible. I built a fork of SQLite that has Dolt version control features called DoltLite.

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

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

« J'ai découvert snip et rtk et testé rtk (reduce LLM usage) »
#TIL

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:

AI mandates are a demand for cognitive surrender
Studies show that reducing our scope of judgment to checking AI outputs leads to abandoning critical thinking altogether.

Vor 15 Jahren habe ich vorhergesagt: Sprache wird das nächste Interface. Jetzt ist es soweit. Large Language Models verstehen uns endlich, KI-Agenten arbeiten nach unseren Anweisungen. Sehr bequem, sehr mächtig – aber auch gefährlich. #KI #Sprache

Zeitenwende: Natürliche Sprache wird zur neuen Bedienoberfläche
Vor 15 Jahren habe ich vorhergesagt: Sprache wird das nächste Interface. Jetzt ist es soweit. Large Language Models verstehen uns endlich, KI-Agenten arbeiten nach unseren Anweisungen. Sehr bequem,…

Classic Internet:
#AI #LLM

GitHub - dtnewman/burn-baby-burn: Be the most productive engineer on your team 🚀🚀🚀
Be the most productive engineer on your team 🚀🚀🚀. Contribute to dtnewman/burn-baby-burn development by creating an account on GitHub.

I can't believe Grammerly's AI has a feature, where the AI re-writes your human text, and they call it "humaniser".
#llm #slop

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…

What Is the Best #Local #LLM for #Coding in 2026?

It's been a while since #qemu put its original #llm contribution policy in place. It's now time to re-evaluate the policy and potentially update it:

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

I feel the main problem with the whole #LLM and vibe coding hype is that people are not taking responsibility for their work.
Sure this isn't something new but LLMs make it way easier than before.
As someone whole likes to attend #SoCraTes events and thinks of their profession as…

Large-scale model-enhanced vision-language navigation: Recent advances, practical applications, and future challenges #LLM

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

RE: #AI

« Comment je me renseigne sur un nouveau modèle LLM en 4 étapes »
#LLM

From all the AI stuff thats been talked about here at KotlinConf this is the most honest slide
#Kotlin #KotlinConf #AI

LLMs/AI is just bad software. It's not ready for prime time. It is full of errors. Any normal software package that exhibited the kind of errors “AI” does would be yanked off the shelf and re-worked.
AI is a scam.
#AI #LLM #Scam

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

The West Forgot How to Build. Now It's Forgetting Code
The defense industry lost the ability to make weapons when crisis hit. The same pattern is eroding software engineering skills. The timelines are identical.

« Comment je me renseigne sur un nouveau modèle LLM en 4 étapes »
#LLM

Exploring the use of VLMs for navigation assistance for people with blindness and low vision #LLM

Remember how people gave techbros the term "#AI" to use for their #LLM crap, and then started using "AGI" for the old AI?
Apparently techbros are now selling LLM crap as "AGI": #spam mail anyway.
#NoAI #NoLLM

Once foundation model providers start trying to turn a profit, the vast majority of "AI powered" products will be swiftly replaced by a plain ol' template library.
#LLM #AI

yesterday I upgraded my local #llm to qwen3.5 - and it works pretty well; this is using Unsloth's Qwen3.5-35B-A3B-Q4_K_M.gguf - I also had to upgrade to the latest llama.cpp (and it's got a few rough edges); but it seems as good as the Qwen3-Next-80B I was using, and it's also multimodal (with the mmproj gguf needed) and the multimodal is usefully fast at an image description on CPU only…

Then: $10/month? I'm a developer. I can write this myself in a weekend. (2 years of coding later...)
Now: $10/month? I'm a marketing executive. I can vibe code this myself in an afternoon. ($5000 in tokens later...)
#llm #ai

Grammarly quietly made an #AI to sell bad writing advice using famous writers' names. They quickly had to backtrack as soon as people found out.
This gamble reflects a broader trend in the #tech industry: everyone is shipping features as quickly as an

Grammarly shows how prototyping turned into an excuse for not thinking
The industry is in the grip of directionless urgency, and users are paying the price. Strategy has been replaced with half-baked features.

I'm still thinking about a longer blog post about LLMs, and one of the things I keep thinking about them is how they not only cause direct harm to the community, but also make people more suspicious of one another. And then I've been pointed out this text:
"I'm Kenyan. I Don't Write Like ChatGPT. ChatGPT Writes Like Me."
"""
I am a writer. A writer who also happens to be Kenyan. And I have come to this thesis statement: I don't write like ChatGPT. ChatGPT, in its strange, disembodied, globally-sourced way, writes like me. Or, more accurately, it writes like the millions of us who were pushed through a very particular educational and societal pipeline, a pipeline deliberately designed to sandpaper away ambiguity, and forge our thoughts into a very specific, very formal, and very impressive shape.
"""
#AI #LLM

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…

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

J'ai découvert MimiMax M2.7, qui semble équivalent Š GLM-5 pour un tiers du prix
#TIL

Tech Bros Utopia - Existential Comics
#ai #llm

Tech Bros Utopia
A philosophy webcomic about the inevitable anguish of living a brief life in an absurd world. Also Jokes

A standard that requires almost $300 to read is not a standard. It's extortion.
Looking at you, ISO...
#AI #LLM #ISO #Standards

#wtf they rewrote #bun in #rust using an #llm:

Rewrite Bun in Rust by Jarred-Sumner · Pull Request #30412 · oven-sh/bun
Blog post with details coming soon. It passes Bun's pre-existing test suite on all platforms (and fixes several memory leaks and flaky tests), the binary size shrinks by 3 MB - 8 MB, the benchm...

If you're looking for another thing to thank #LLM techbros for: #OpenAI is now acquiring #Cirrus Labs, and #CirrusCI is going to shut down in <2 months.
#AI #NoAI #NoLLM

The hardest lesson for morally-minded people to learn is that the vast majority of people are not morally-minded.
#FreeSoftware #AI #LLM #Ethics

Friends Don't Let Friends Use #Ollama
#LLM

Measuring programmer productivity by AI tokens burned is like measuring airplane construction by weight.
#AI #LLM #Slop

« J'ai découvert l'offre "Go" de OpenCode et je compte la tester dans un projet en parallèle de Claude Pro »
#LLM

Seriously, when I created the GURU project for #Gentoo, I wanted it to be the place where Gentoo users work together on #packaging. What I definitely didn't want it to be: a drive-by stop for vibe-coders to promote their crap.
#AI #LLM #NoAI #NoLLM

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 🧵

Well, no, there are people on the list above brand strategists...
#AI #LLM

Eugene Healey on Instagram: "Technology was supposed to free us. Instead, it just gave us more work. Today: why the backlash to AI follows the same pattern as every major technological disruption in history - and what that means for the brands caught in the middle. -- Follow @eugbrandstrat for more insights on how brands can effectively navigate modern digital spaces."
3,896 likes, 102 comments - eugbrandstrat on April 13, 2026: "Technology was supposed to free us. Instead, it just gave us more work. Today: why the backlash to AI follows the same pattern as every major technological disruption in history - and what that means for the brands caught in the middle. -- Follow @eugbrandstrat for more insights on how brands can effectively navigate modern digital spaces.".

I'm sorry to say that I actually wrote it:
"The pinnacle of enshittification, or Large Language Models"
#AI #LLM #NoAI #NoLLM

Don't Let AI Steal Your Intelligence
#ai #llm

Oh good. TurboTax is now using a chatbot as part of their filing process, and letting it determine if your filing is accurate.
... I expect a lot more audits in the near future. *sigh*
#AI #LLM #FuckAI

"I can steal anyone's stuff but no one can steal the stuff I make from the stolen stuff"
#chtuzpah #OpenAI #technology #AI #LLM #business

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

The new Luddite movement.
#AI

"OpenAI has a math problem"
ChatGPT's math issues makes sense now.
#OpenAI #technology #AI #LLM #business #sarcasm

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

Turns out, that OSS-cloning company is real, and the CEO is even more of a slimy asshole than you would expect.
#AI

Corporate employers: you must learn new skills all the time or we'll fire you.
Also corporate employers: you must use LLMs, so you'll lose all the skills you have.
#NoAI #NoLLM #AI #LLM

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

RE: #AI

#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

Let's normalize calling anything output with an #LLM #slop.
It doesn't matter that you've only used an LLM to fix punctuation. It's slop.
It doesn't matter that you've spent an hour reviewing the slop to make sure it's good. It's still slop.
It doesn't matter that it's better than anything you wrote your entire life. It's slop.
If you didn't write it yourself, it's just a glorified LLM slop.
#AI #NoAI #NoLLM

"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

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

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

"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

Some people may think of LLMs as the great equalizer. People who aren't programmers can vibecode working programs now. People who aren't artists can slop out something resembling art. However, it's the exact opposite.
When I was a kid, I also pretended to write programs. Of course, I didn't have such sophisticated toys ("kids could play with a stick for hours", as the hyperbole went). But then, I was fully aware that it's just make-believe and it didn't harm anybody.
#Vibecoding creates a horrible chasm of inequality. We have people who believe they're good programmers (even treating vibecoding as an enlightened religion) who shit tons of code at real human reviewers who now need to sift through. And then, we have projects embracing vibecoding and shitting new releases at unprecedented rate. And these releases again need to be reviewed by humans downstream.
#AI #LLM #NoAI #NoLLM

If you think #vibecoding is fine, let me ask you a single question: would you use a medical device whose software was vibecoded? And by "medical device" I mean something where a bug could literally kill you.
If you answered "oh, gawd, no!" then consider that anytime you use an #LLM to contribute to or develop an #OpenSource project, there's a chance that this code will end up powering such a device. And even if it doesn't, you're setting a trend, and it will be even more likely that the software used by these devices will be vibecoded.
I have type 1 #diabetes. I also lead a physically active life. This is both a blessing and a curse. My doctors keep suggesting Constant Glucose Monitoring systems and insulin pumps to me. And I do realize that such hardware would likely improve my blood glucose, and definitely make my life much easier (especially with a closed loop system).
So why do my fingertips look like crap, and I keep using a glucometer and insulin pens? Because I don't want to risk my life to an unnecessarily complex technology.
Admittedly, I occasionally get things wrong and suffer consequences. Or I suspect I got them wrong and worry. Or meet an unexpected situation and need to figure out a way out. Or even accept having elevated glucose levels (as in nearing 200 mg/dl) because there's just no way to safely fit insulin doses on a particular day.
But still, I prefer having control and risking my own mistakes to a device that could suddenly start pumping insulin because of a bug. And that was even before the story of the application that stripped the decimal point and gave people ten times the dose. Or the one about CGMs giving wrong high glucose alerts. Or the whole vibecoding fancy.
Back then, I could have considered such a device. Now, I'm more worried than ever. And honestly, I'm hoping that relatively simple glucometers will remain available. To think that my worst fear used to be of a mechanical fault…
#AI #NoAI #NoLLM

< mgorny> that's gunicorn
< mgorny> looks like vibecoding hard
<@sam_> sigh
<@sam_> #Python #NoAI #NoLLM #AI #LLM #OpenSource

I truly believe that LLMs are the worst thing that happened in IT over the recent years (or well, the culmination of the worst thing that's been poisoning the IT world), and I wholeheartedly support all the subversive actions against it, ranging from poisoning the training data to abusing support chatbots to make them unprofitable. However, at the same time I realize that all these actions are increasing the environmental harm caused by the #LLM folk.
It's like true guerrilla warfare. We're metaphorically burning down buildings, and I hate that it had to come to that.
#AI #NoAI #NoLLM

Modern use of LLMs often involves giving them access to the local system: to read and write your project files, and to execute arbitrary commands, often unsupervised. So aren't people worried about a harness just doing what a remote #LLM tells it to do?
I think a statement I've heard lately summarizes the mindset well. It went something along the lines "I can't give you 100% guarantee, but I've noticed that LLMs are very good at following instructions, and they're getting better and better, so I don't worry about that anymore".
Like, it is completely fine to introduce a humongous security hole, because the probability that a model will *accidentally* do something horrible is decreasing.
#AI #NoAI #NoLLM #security

Oh, great. I'm sure it's great idea to boil oceans in order to have some random bullshit machine repeat what I said in the description. And also add a bullshit suggestion with bullshit explanation that's plain wrong.
#AI #LLM #NoAI #NoLLM