@tante

That, coupled with the impending knowledge collapse that #AI is creating & that almost nobody (save for folks active in that space) is talking about, is creating a turning point (read: an absolute clusterf*ck) in terms of how we do work, how we engage, and how we treat knowledge.

And I don't think society on the whole is ready to deal with those effects.

https://dev.to/dannwaneri/were-creating-a-knowledge-collapse-and-no-ones-talking-about-it-226d

#knowledge #genAI #LLMs

I learned a new phrase today: malicious optimism. "AI will cure cancer, just give money to AI, not to actual curing cancer" and stuff.

#AI #noAI #LLM #LLMs

I learned a new phrase today: malicious optimism. "AI will cure cancer, just give money to AI, not to actual curing cancer" and stuff.

#AI #noAI #LLM #LLMs

Can low-code, custom #AI agents beat off-the-shelf #LLMs on expert knowledge tests?

This Evidence-Based #Nursing (EBN) agent included a reflection and evaluation step.

It outperformed ChatGPT-o1, DeepSeek-R1 and Kimi across 124 standardized test items:

https://doi.org/10.1016/j.nepr.2026.104710

"I cancelled my #Claudecode subscription. I have a tendency to fixate on things and overdo it. Most of the time I can manage and keep things mostly under control, but this has the potential to do #realdamage. Worst of all, I wouldn't have anything to show for it at the end. #Codingagents have a way to turn your brain off: no learning, no big picture, just #prompting until it does your bidding. If I ever need such a tool, I'll run it locally with one of the open-source coding models. I'll use #LLMs for code like people use Shein for clothes. They both have terrible impact on communities and the environment, the comparison seemed fitting."

https://tresbien.tech/blog/and-now-im-recovering/

"I cancelled my #Claudecode subscription. I have a tendency to fixate on things and overdo it. Most of the time I can manage and keep things mostly under control, but this has the potential to do #realdamage. Worst of all, I wouldn't have anything to show for it at the end. #Codingagents have a way to turn your brain off: no learning, no big picture, just #prompting until it does your bidding. If I ever need such a tool, I'll run it locally with one of the open-source coding models. I'll use #LLMs for code like people use Shein for clothes. They both have terrible impact on communities and the environment, the comparison seemed fitting."

https://tresbien.tech/blog/and-now-im-recovering/

Just read https://arxiv.org/abs/2601.15494. #AI agents boost productivity by remixing #OSS, but weaken the human feedback loops that sustain it. Feels analogous to how ideas are now consumed through #LLMs instead of directly from source

Nos complace traeros, en esta nueva entrega de #KDEexpress, una entrevista con @lauramcastro integrante de #GPUL, #CEXEF (entre otras muchas cosas) y ponente en @eslibre de la charla titulada:

"Psicología inversa" de los grandes modelos de lenguaje

Notas y enlaces en:
https://kdeexpress.gitlab.io/posts/kdeexpress/66-kde-express/

Gracias Laura por traernos al podcast estos temas que no solemos abordar tanto como quisiéramos, esperamos repetir.

#esLibre #esLibre2026 #LLMs #Psicología #Sociología #ChatGPT #Gemini #Claude #Mistral

Nos complace traeros, en esta nueva entrega de #KDEexpress, una entrevista con @lauramcastro integrante de #GPUL, #CEXEF (entre otras muchas cosas) y ponente en @eslibre de la charla titulada:

"Psicología inversa" de los grandes modelos de lenguaje

Notas y enlaces en:
https://kdeexpress.gitlab.io/posts/kdeexpress/66-kde-express/

Gracias Laura por traernos al podcast estos temas que no solemos abordar tanto como quisiéramos, esperamos repetir.

#esLibre #esLibre2026 #LLMs #Psicología #Sociología #ChatGPT #Gemini #Claude #Mistral

A thought I had this morning - what will be the impact of #AI and #LLMs on open-source software? The OSS model thrived on collaboration, but I see that empowered by tools like #ClaudeCode many devs now prefer to build one-off tools tailored specifically to their preferences.

Basically, I'm wondering whether devs will lose some of their motivation to contribute to existing projects if they can fairly easily build something similar themselves. Think of the "not invented here" syndrome, OSS edition.

Of course, one can also make the argument that now it's much easier to contribute to existing OSS projects without having to develop deep knowledge in them. Perhaps some projects have benefited from this, but I haven't seen an influx of (AI-generated) contributions to any of my projects. Then again, I haven't seen an LLM that handles #Emacs Lisp very well. :D

What do you think?

A thought I had this morning - what will be the impact of #AI and #LLMs on open-source software? The OSS model thrived on collaboration, but I see that empowered by tools like #ClaudeCode many devs now prefer to build one-off tools tailored specifically to their preferences.

Basically, I'm wondering whether devs will lose some of their motivation to contribute to existing projects if they can fairly easily build something similar themselves. Think of the "not invented here" syndrome, OSS edition.

Of course, one can also make the argument that now it's much easier to contribute to existing OSS projects without having to develop deep knowledge in them. Perhaps some projects have benefited from this, but I haven't seen an influx of (AI-generated) contributions to any of my projects. Then again, I haven't seen an LLM that handles #Emacs Lisp very well. :D

What do you think?

A thought that popped into my head when I woke up at 4 am and couldn’t get back to sleep…

Imagine that AI/LLM tools were being marketed to workers as a way to do the same work more quickly and work fewer hours without telling their employers.

“Use ChatGPT to write your TPS reports, go home at lunchtime. Spend more time with your kids!” “Use Claude to write your code, turn 60-hour weeks into four-day weekends!” “Collect two paychecks by using AI! You can hold two jobs without the boss knowing the difference!”

Imagine if AI/LLM tools were not shareholder catnip, but a grassroots movement of tooling that workers were sharing with each other to work less. Same quality of output, but instead of being pushed top-down, being adopted to empower people to work less and “cheat” employers.

Imagine if unions were arguing for the right of workers to use LLMs as labor saving devices, instead of trying to protect members from their damage.

CEOs would be screaming bloody murder. There’d be an overnight industry in AI-detection tools and immediate bans on AI in the workplace. Instead of Microsoft CoPilot 365, Satya would be out promoting Microsoft SlopGuard - add ons that detect LLM tools running on Windows and prevent AI scrapers from harvesting your company’s valuable content for training.

The media would be running horror stories about the terrible trend of workers getting the same pay for working less, and the awful quality of LLM output. Maybe they’d still call them “hallucinations,” but it’d be in the terrified tone of 80s anti-drug PSAs.

What I’m trying to say in my sleep-deprived state is that you shouldn’t ignore the intent and ill effects of these tools. If they were good for you, shareholders would hate them.

You should understand that they’re anti-worker and anti-human. TPTB would be fighting them tooth and nail if their benefits were reversed. It doesn’t matter how good they get, or how interesting they are: the ultimate purpose of the industry behind them is to create less demand for labor and aggregate more wealth in fewer hands.

Unless you happen to be in a very very small club of ultra-wealthy tech bros, they’re not for you, they’re against you. #AI #LLMs #claude #chatgpt

"I'm sorry! I'm a technology writer, which means I'm supposed to be encouraging you to throw hundreds of billions of dollars at the money-losingest technology in human history, AI. No one has ever lost as much money as the AI companies.

There is no way to operate one of Nvidia's big AI-optimized GPUs without losing money. The owners of these GPUs who have lost the least money are the ones who rushed into buying GPUs without ensuring they'd have electricity to power them, and have been forced to leave their GPUs to age in warehouses. The minute they plug in those GPUs, they'll start losing money, and the more they use them, the more money they'll lose.

I'm sorry. As a technology writer, I'm supposed to be telling you that this bet will some day pay off, because one day we will have shoveled so many words into the word-guessing program that it wakes up and learns how to actually do the jobs it is failing spectacularly at today. This is a proposition akin to the idea that if we keep breeding horses to run faster and faster, one of them will give birth to a locomotive. Humans possess intelligence, and machines do not. The difference between a human and a word-guessing program isn't how many words the human knows.

I'm sorry. I know that when we talk about "digital sovereignty," we're obliged to talk about how we can build more data-centres that we can fill up with money-losing chips from American silicon monopolists in the hopes of destroying as many jobs as possible while blowing through our clean energy goals and enshittifying as much of our potable water as possible.

I don't have any advice for how to do that. I'm sorry!"

https://pluralistic.net/2026/01/13/not-sorry/

#AI #GenerativeAI #LLMs #BigTech #AIBubble #Canada #USA

"I'm sorry! I'm a technology writer, which means I'm supposed to be encouraging you to throw hundreds of billions of dollars at the money-losingest technology in human history, AI. No one has ever lost as much money as the AI companies.

There is no way to operate one of Nvidia's big AI-optimized GPUs without losing money. The owners of these GPUs who have lost the least money are the ones who rushed into buying GPUs without ensuring they'd have electricity to power them, and have been forced to leave their GPUs to age in warehouses. The minute they plug in those GPUs, they'll start losing money, and the more they use them, the more money they'll lose.

I'm sorry. As a technology writer, I'm supposed to be telling you that this bet will some day pay off, because one day we will have shoveled so many words into the word-guessing program that it wakes up and learns how to actually do the jobs it is failing spectacularly at today. This is a proposition akin to the idea that if we keep breeding horses to run faster and faster, one of them will give birth to a locomotive. Humans possess intelligence, and machines do not. The difference between a human and a word-guessing program isn't how many words the human knows.

I'm sorry. I know that when we talk about "digital sovereignty," we're obliged to talk about how we can build more data-centres that we can fill up with money-losing chips from American silicon monopolists in the hopes of destroying as many jobs as possible while blowing through our clean energy goals and enshittifying as much of our potable water as possible.

I don't have any advice for how to do that. I'm sorry!"

https://pluralistic.net/2026/01/13/not-sorry/

#AI #GenerativeAI #LLMs #BigTech #AIBubble #Canada #USA