Tootfinder

I mentioned earlier that I was writing something on #LLMs. Here it is...
#LLM

#Agent skill
#LLM

The case of “vegetative electron microscopy” illustrated here shows what is badly needed in current #LLM research and has implications far beyond. We need tools that help us curate huge corpora. We need to be able to trace #hallucinations back to the training data and understand what are the specific (to a sur…

A weird phrase is plaguing scientific papers – and we traced it back to a glitch in AI training data
Once errors creep into the AI knowledge base, they can be very hard to get out.

The claim "you won't be replaced by AI, but by a person using AI" is nonsense. The Block layoff victims were some of the most productive, #llm pilled people in the company, but it didn't save them, because that's not what layoffs are about.
The layoff script goes, as always:
- overhire
- lay everyone off
- pretend it's because of

"AI layoffs" like Block's are a race to the bottom that have nothing to do with productivity.
You won't be replaced by AI, nor a person using AI, because backfills aren't real.

[OT, Forbes] The state of the $1.7 trillion AI bubble: the end of thinking https://www.forbes.com/sites/gilpress/2026/02/27/the-state-of-the-17-trillion-ai-bubble-the-end-of-thinking/

The State Of The $1.7 Trillion AI Bubble: The End Of Thinking
Writing is thinking and thinking is understanding. Like understanding that the AI bubble has been around for a long time and that it's better to call it the data bubble.

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

"Building a C compiler with a team of parallel Claudes"
#AI #LLM #slop #NoAI

"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.

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

It's slight disheartening to see the debate about #LLM usage in open source bifurcate into two mutually opposed camps of never-AIers vs AGI believers. Engineering is all about trade-offs including making the best use of your #tools.
It doesn't make sense to burn a few million tokens when you…

« J'ai découvert le modèle Open Weights GLM-5 »
#LLM #OpenWeights

YOLO Wasn't expecting to warming up to using an agent for the shitty tasks this easily
#YOLO #Junie #LLM

Nice, a uBlockOrigin blocklist for AI-based sites:
#AI #LLM

GitHub - Stevoisiak/Stevos-GenAI-Blocklist: Filter list for uBlock Origin to block website features that use Generative AI
Filter list for uBlock Origin to block website features that use Generative AI - Stevoisiak/Stevos-GenAI-Blocklist

"Semantic ablation" #LLM

Why AI writing is so generic, boring, and dangerous: Semantic ablation
opinion: The subtractive bias we're ignoring

"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

#LLM saved me one hour of writing and all it took was two hours of your review!

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

Last night I had a #nightmare.
I dreamt that I've sent a pull request to a project, and it turned out that the whole CI pipeline is just LLMs dynamically slopping random tests against the PR. And of course these tests couldn't pass, and you could do nothing to make the PR actually pass tests.
#AI #LLM #NoAI #slop

This is so good, I love it: #llm

Do LLMs make *anything* better? But they seem like the ultimate genie that we now can't put back in the bottle.
#LLM

iTerm2 now lets an LLM view & drive a terminal?? That's a huge way to destroy trust. That's just as bad as letting an IDE or email app leak private information.
#llm #ai #enshitification #wtf

Heads up!
@… is sharing his thoughts on the #AI #LLM #GenAI

Ich nutze meist Perplexity oder ChatGPT statt klassischer Suchmaschinen. Schnell, kompakt, bequem. Aber auch fehleranfällig. Ein Blick auf Chancen, Grenzen und die Frage, wie viel wir Antwortmaschinen wirklich überlassen können und sollten. #LLM #KIAgenten

Perplexity-Antwort statt Google-Suche: Flüssig geantwortet, aber ob alles stimmt?
Ich nutze meist Perplexity oder ChatGPT statt klassischer Suchmaschinen. Schnell, kompakt, bequem. Aber auch fehleranfällig. Halluzinationen verschwinden nicht einfach, nur weil die Antworten souve…

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…

🧠 Human-like Working Memory from Artificial Intrinsic Plasticity Neurons
#ai #llm

Human-like Working Memory from Artificial Intrinsic Plasticity Neurons
Working memory enables the brain to integrate transient information for rapid decision-making. Artificial networks typically replicate this via recurrent or parallel architectures, yet incur high energy costs and noise sensitivity. Here we report IPNet, a hardware-software co-designed neuromorphic architecture realizing human-like working memory via neuronal intrinsic plasticity. Exploiting Joule-heating dynamics of Magnetic Tunnel Junctions (MTJs), IPNet physically emulates biological memory v…

🚀 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

Tracing the thoughts of a large language model
#LLM

This quip from Paul Ford summarises the AI hype perfectly to me:
"All of the people I love hate this stuff, and all the people I hate love it. And yet, likely because of the same personality flaws that drew me to technology in the first place, I am annoyingly excited."
from #LLM #AI

« Anthropic sous-vend-il ses abonnements ou surtaxe-t-il son API ? »
#llm

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…

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

1026 AD: Rub the lamp
tremendous energy released
All-Powerful Genie:
“YOU HAVE THREE WISHES”
2026 AD: AI chatbot
tremendous energy released
Free tier Pro model:
“YOU HAVE THREE WISHES”
#ai #llm

Tell me, how far are we away from using an #LLM as a #fitnessfunctions with #geneticprogramming ? Anyone experimented with this already?

I'm finally trying out some local LLM models.
Ollama just told me that it's trained on GPL software, so any code it produces needs to be GPL.
Then in a second chat, it said the opposite.
#AiIsGoingGreat #LLM #AI

I don’t think #LLM capabilities are where this article thinks they are, but I do think this is an interesting economical thinking exercise nevertheless
https://www.citriniresearch.com/p/2028gic

THE 2028 GLOBAL INTELLIGENCE CRISIS
A Thought Exercise in Financial History, from the Future

SkillsBench: Benchmarking How Well Agent #Skills Work Across Diverse Tasks
#LLM …

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

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

🪪 The Science of Detecting LLM-Generated Text
#llm #ml

Honestly, looking at the license violation thread of #chardet, I really feel like #OpenSource these days is a complete shitshow and I really don't feel like a part of the community anymore. Almost all replies are basically assholes questioning whether there "legally" is actually a problem there. Nobody's concerned that the whole thing is a huge dick move, which makes the maintainer a complete dick and nobody with a shed of morality left would be willing to approve this.
Also, it's a great opportunity to seed some GitHub blocklists.
#FreeSoftware #AI #LLM #NoAI #NoLLM

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

An essay from the future: #AI #LLM

THE 2028 GLOBAL INTELLIGENCE CRISIS
A Thought Exercise in Financial History, from the Future

The more I listen to the industry, the more I think software quality may be enough of a differentiator in the future to offset some of the #LLM damage

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

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.

🚀 #Alibaba releases Qwen3.5 — a next-generation multimodal foundation #llm built for the agentic #AI era
⚡ Hybrid architecture combining Gated Delta Networks with sparse Mixture-of-Experts (397B t…

I was in the process of writing a short story when all this talk of #LLM spellchecking came up. So I wrote a story that you can't actually use an LLM spellchecker on because it breaks them:
#Writing #Fiction #SolarPunk

Want answers 10X faster and 10X more accurate than LLMs? Use the DuckDuckGo CLI. I'm using that today to study for a cert. I had been using a number of LLMs but they are sooooo sloooooow.
#llm

Ah yes, #LLM for exploit development.
In other words, we’ll now spent billions on offense & prevention to achieve new equilibrium (that we already sort of had).
Good job, us. #infosec

On the Coming Industrialisation of Exploit Generation with LLMs
Recently I ran an experiment where I built agents on top of Opus 4.5 and GPT-5.2 and then challenged them to write exploits for a zeroday vulnerability in the QuickJS Javascript interpreter. I adde…

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

Roman elites drank from leaded cups because it made water sweeter. Radiation was thought at one time to have healing properties, so people would add uranium to their drinking water. Glowing dishes are still a collectors item. After the discovery of x-rays, shoe stores started installing them and using them on kids feet to size shoes. Lead was added to gasoline to improve engine performance, and paint to make it whiter. We all know about asbestos and DDT.
We look back at all of this and think, "how could people have been so incompetent back then?" Some of these things caused irreparable harm in their generation, some continue to cause harm today almost 100 years later.
If you wonder that, look at the whole #LLM thing and you have your answer.

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.

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

I did it guys... i used chatgpt in a productive way.
I've been banging my head against the wall trying to get some perl XPath stuff to work... I asked it a specific question with the XML i had, and what it produced works. And it's reasonably succinct.
I stand ready to be flogged.
#AI #coding #Perl #LLM

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

Any #NeuroAI models out there that can make sensible predictions about mastering crossmodal perception (vision) using visual-to-auditory sensory substitution? I suspect not: out-of-distribution reasoning is really hard for AI. #LLM #AI

#LLM tools let you write code faster, but LOCs has NEVER been the bottleneck to value. The bottleneck is organizational coherence.
Instead of working towards that alignment, we are encouraged to "just #AI it." The result? AI makes everyone work MORE, with no real productivity gains.
Te…

Research is leadership, and code can help (but only in the right places)
Code was never the blocker in delivering customer value — and the easier writing code becomes, the more it distracts from the work we must do to unblock productivity.

RE: #AI

Sometimes I wonder why do I even bother. I mean, people are perfectly happy to let statistical models designed as bullshit generators do their coding. Why do I even bother running their test suites and inspecting the failures as a human, if these tests may well be complete bullshit?
#FreeSoftware #OpenSource #Gentoo #Python #AI #LLM #NoAI #NoLLM #VibeCoding

Letting AI extract and report developments that are considered "important" risks tunnel vision, statistics drowning out important but nascent. #AI #LLM

Read this thread from @…
#AI #Capital #Economy #CanPoli #CdnPoli #Labour #LLM #scarcity

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

Whenever people are commenting on another half-assed, crappy #LLM feat, claiming that there are "some" use cases for this "#AI", substitute "AI" with "genocide".
Because, you know, there are "use cases" for genocide too, and apparently a lot of people don't mind, as long as they can benefit from it and look the other way.
#NoAI

"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

Oh man, #LLM and licensing is going to he so much fun, does everybody miss ‘90s so much?
https://github.com/chardet/chardet/issues/327

No right to relicense this project · Issue #327 · chardet/chardet
Hi, I'm Mark Pilgrim. You may remember me from such classics as "Dive Into Python" and "Universal Character Encoding Detector." I am the original author of chardet. First off, I would like to thank...

Isn't it ironic that we've moved from "you need special skills to be a programmer" to "everyone can learn to be a programmer", to "everyone can use an #LLM to be a programmer", and now because of all the deskilling we're going to circle back into "you need special skills to be a programmer".
#AI #NoAI #NoLLM

🧠 #Headroom - The Context Optimization Layer for #LLM Applications #opensource #Python
…

More fallout from the chardet AI licensing kerfuffle.
#AI

Chardet dispute shows how AI will kill software licensing, argues Bruce Perens
: Alarm bells are ringing in the open source community, but commercial licensing is also at risk

So I wanted to write a longer #NoAI piece but apparently my blog is down (and this time, miraculously, it might not be #AI scrapers), so I'll give you a sneak peek of what I wanted to say in the more hyperbolic part on how the #LLM discourse has all the common features of libertarian discourse.
"According to Google, LLM-backed searches don't consume much more energy than regular searches" [ignoring model training, surely.]
− According to carbrains, cars are actually cheaper than public transport, provided that you compare gasoline cost with ticket prices, and ignore the cost of buying and owning a car. Not to mention all the indirect costs of space waste (roads, parking lots, garages), environment pollution, accidents…
"AI is just a tool, people decide if it's used for good or bad."
− Ah, yes, and "guns don't kill people."
"AI has its uses."
− So does asbestos.
"Let's not judge contributions by whether they were created using AI, but on their actual quality."
− "Let's not judge contributions by whether they were created using slave work…"
"I do not use AI myself, but I don't want to block others."
− "I do not keep slaves myself…"
#NoLLM #hyperbole

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

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

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

"Large language mistake"
I love that headline but too bad the article is paywalled. Anyone has a "gift link"? 🤔🤞
#TheVerge #LLM #AI #paywall #question

Whenever a #FreeSoftware project is suffering from onslaught of low quality LLM-generated pull requests, there will be a bunch of #LLM lovers complaining that people shouldn't be talking of "LLM-generated" being part of the problem, because "using AI isn't bad" in itself. Of course, they entirely ignore all the ethical and environmental concerns, and probably write crappy code themselves.
#AI #NoAI

In this edition of "Conversations with LLMs".
#LLM #technology #addiction #upselling #desperation

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

Searching the Internet in the past: you type a few keywords. You get a bunch of sites. You check these sites for the information you need.
Searching the Internet in the future: you type your question as a full sentence. You get an answer that may be complete bullshit. You ask for sources. You get a list of sources that may be entirely made up. You check the sources. They are an obvious #AI #slop…
#LLM #enshittification #NoAI #NoLLM

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

#LLM users be like:
Why are you accusing me of supporting slavery? I never said I support slavery. I merely buy cheap tobacco! It's not my fault that all the cheap tobacco is coming from slave-driven plantations! Find me a cheaper tobacco that's manufactured ethically, and I'll surely switch over!
Smokers are being persecuted again! All we wish for is for people to respect our constitutional right to poison everyone around us! Is it really that much?!
#AI #NoAI #NoLLM

#LLM users should be obliged to buy *expensive* scraping offsets, and the money should go to #FreeSoftware projects that have to cope with their infrastructure being *killed* by crappy #AI scrapers.
Yes, #Gentoo is suffering from another wave. And yes, if you use their projects and therefore support their business model, please don't use Gentoo.

Funding Nemo. 🤑👾🦈
(yes, #pun)
#Nvidia #technology #business #LLM #AI #agents #NemoClaw

Anthropic Claude took out an ad to mock OpenAI ChatGPT for including, *checks the news again*, ads.
#irony #ads #advertisement #SuperBowl #technology #business #AI #LLM

Oh, #GitHub is empathetic to #OpenSource projects impacted by all the #AI slop. They're willing to help, right?
#Copilot even once, and of course they're not going to let people actually block this piece of shit.
#LLM #NoAI #NoLLM #hypocrisy #Microsoft

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

It is kinda interesting how eager #Google and #Microsoft are to demonstrate the sunken cost fallacy.
#AI #LLM #NoAI #NoLLM

Cynicism, "AI"
I've been pointed out the "Reflections on 2025" post by Samuel Albanie [1]. The author's writing style makes it quite a fun, I admit.
The first part, "The Compute Theory of Everything" is an optimistic piece on "#AI". Long story short, poor "AI researchers" have been struggling for years because of predominant misconception that "machines should have been powerful enough". Fortunately, now they can finally get their hands on the kind of power that used to be only available to supervillains, and all they have to do is forget about morals, agree that their research will be used to murder millions of people, and a few more millions will die as a side effect of the climate crisis. But I'm digressing.
The author is referring to an essay by Hans Moravec, "The Role of Raw Power in Intelligence" [2]. It's also quite an interesting read, starting with a chapter on how intelligence evolved independently at least four times. The key point inferred from that seems to be, that all we need is more computing power, and we'll eventually "brute-force" all AI-related problems (or die trying, I guess).
As a disclaimer, I have to say I'm not a biologist. Rather just a random guy who read a fair number of pieces on evolution. And I feel like the analogies brought here are misleading at best.
Firstly, there seems to be an assumption that evolution inexorably leads to higher "intelligence", with a certain implicit assumption on what intelligence is. Per that assumption, any animal that gets "brainier" will eventually become intelligent. However, this seems to be missing the point that both evolution and learning doesn't operate in a void.
Yes, many animals did attain a certain level of intelligence, but they attained it in a long chain of development, while solving specific problems, in specific bodies, in specific environments. I don't think that you can just stuff more brains into a random animal, and expect it to attain human intelligence; and the same goes for a computer — you can't expect that given more power, algorithms will eventually converge on human-like intelligence.
Secondly, and perhaps more importantly, what evolution did succeed at first is achieving neural networks that are far more energy efficient than whatever computers are doing today. Even if indeed "computing power" paved the way for intelligence, what came first is extremely efficient "hardware". Nowadays, human seem to be skipping that part. Optimizing is hard, so why bother with it? We can afford bigger data centers, we can afford to waste more energy, we can afford to deprive people of drinking water, so let's just skip to the easy part!
And on top of that, we're trying to squash hundreds of millions of years of evolution into… a decade, perhaps? What could possibly go wrong?
[1] #NoAI #NoLLM #LLM

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

So, "#AI boosted your productivity"? Well, are you a software developer or a factory worker?
Productivity is a measure of predictable output from repetitive processes. It is how much shit your factory floor produces. Of course, once attempts to boost productivity start affecting the quality of your product, things get hairy…
"Productivity" makes no sense for creative work. It makes zero sense for software developers. If your work is defined by productivity, then it makes no sense to use as #LLM to improve it. You can be replaced entirely.
Artists get that. The fact that many software developers don't suggests that the trade took a wrong turn at some point.
Inspired by #NoAI

So how you'd feel if you learned that the guy from whom you've been copying all your homework recently, has been not-so-secretly helping fascist governments commit genocide? And he's quite proud of it too.
Oh right, you'd just say "it's not like doing my own homework will change anything". And then you'll give him your lunch money.
#AI #LLM #NoAI #NoLLM #Claude #Anthropic

Let me tell you a parable.
There was a student who was given as assignment of writing an essay. The student found 10 similar essays online. He copied selected bits of different essays. He tediously reworded the result, removed some sentences, added some adjectives and adverbs, shifted some more sentences, added some glue — all with the single-minded goal of covering up the tracks. Eventually, a voluminous essay was complete.
The student has put a lot of effort into this; possibly even more that if he had written it himself. He did learn a bit about essays, though he didn't really practice writing one. He did practice some skills that would be useful in a future bullshit job, though. The essay passes all #plagiarism checks, even though it immediately raises red flags to any human reading it: the sudden style changes, contradictory statements, sentences that don't make much sense in their context. And if he was asked to defend it, he might be in trouble.
So, the student put an effort (though not the right kind of effort), produced a mediocre essay and learned something (though bullshit skills rather than creative skills). Now let's consider a different situation: rather than doing all that himself, the student paid somebody else to do it; and not to *write* an original essay, but to do all the shenanigans described above.
That's precisely what using LLMs is. You tell them to write an essay, so they find and mix random stuff, and produce a mediocre essay. You don't put an effort, you don't learn anything, perhaps you don't even read "your" essay. And it passes all the plagiarism checks.
#AI #LLM #NoAI #NoLLM #chardet

The key takeaways from the early part of the #chardet thread (I didn't read beyond the ~30 first comments, I have my limits).
1. People there love cosplaying lawyers. Except when the other side also starts cosplaying lawyers, in which case they suddenly divert to suggesting asking professional lawyers.
2. Almost nobody there is concerned with ethics or morality.
3. There's a lot of GPL haters there. Like, they seem the kind of people who don't really care about licensing at all, just used MIT in their projects because it was cool and they heard something about license incompatibility and now bash at everything that's (L)GPL.
4. People don't get that LLMs are statistical models and can't build anything from the ground up. All they can do is remix, which implies they use existing code for inspiration.
5. The maintainer who did the rewrite is a total asshole, and is perfectly aware of it.
Honestly, I'm truly waiting for the subsidizing to end and companies start charging obscene amounts for the use of LLMs. Of course, the reality is that we're totally fucked. We have a lot of projects that adapted a lot of #slop, and people who are being increasingly addicted to this shit. The moment they can't afford it, we'd be left with lots of broken code nobody wants to maintain.
And I definitely don't want to put my effort into packaging crap if its maintainers don't even bother trying.
#AI #LLM #NoAI #NoLLM

So I've started the (hopefully) cross-distro debate on the hard topic: how to deal with potential #AI #slop packages. Yes, I am burned out and depressed.
#Gentoo #NoAI #NoLLM #LLM

When you drop the dependency on #chardet over the #AI #slop release… and replace it with your own slop.
#Python #LLM #NoAI #NoLLM

New on #blog: "Money isn’t going to solve the #burnout problem"
"""
The xz-utils backdoor situation brought the problem of FLOSS maintained burnout into the daylight. This in turn lead to numerous discussion on how to solve the problem, and the recurring theme was funding maintenance work.
While I’m definitely not opposed to giving people money for their FLOSS work, if you think that throwing some bucks will actually solve the problem, and especially if you think that you can just throw them once and then forget, I have bad news for you: it won’t. Surely, money is a big part of the problem, but it’s not the only reason people are getting burned out. It’s a systemic problem, and it’s in need of systemic solution, and that’s involves a lot of hard work undo everything that’s happened in the last, say, 20 years.
But let’s start at the beginning and ask the important question: why do people make free software?
"""
#FreeSoftware #OpenSource #AI #NoAI #LLM #NoLLM #Gentoo