Tootfinder

Just read this post by @… on an optimistic AGI future, and while it had some interesting and worthwhile ideas, it's also in my opinion dangerously misguided, and plays into the current AGI hype in a harmful way.
https://social.coop/@eloquence/114940607434005478
My criticisms include:
- Current LLM technology has many layers, but the biggest most capable models are all tied to corporate datacenters and require inordinate amounts of every and water use to run. Trying to use these tools to bring about a post-scarcity economy will burn up the planet. We urgently need more-capable but also vastly more efficient AI technologies if we want to use AI for a post-scarcity economy, and we are *not* nearly on the verge of this despite what the big companies pushing LLMs want us to think.
- I can see that permacommons.org claims a small level of expenses on AI equates to low climate impact. However, given current deep subsidies on place by the big companies to attract users, that isn't a great assumption. The fact that their FAQ dodges the question about which AI systems they use isn't a great look.
- These systems are not free in the same way that Wikipedia or open-source software is. To run your own model you need a data harvesting & cleaning operation that costs millions of dollars minimum, and then you need millions of dollars worth of storage & compute to train & host the models. Right now, big corporations are trying to compete for market share by heavily subsidizing these things, but it you go along with that, you become dependent on them, and you'll be screwed when they jack up the price to a profitable level later. I'd love to see open dataset initiatives SBD the like, and there are some of these things, but not enough yet, and many of the initiatives focus on one problem while ignoring others (fine for research but not the basis for a society yet).
- Between the environmental impacts, the horrible labor conditions and undercompensation of data workers who filter the big datasets, and the impacts of both AI scrapers and AI commons pollution, the developers of the most popular & effective LLMs have a lot of answer for. This project only really mentions environmental impacts, which makes me think that they're not serious about ethics, which in turn makes me distrustful of the whole enterprise.
- Their language also ends up encouraging AI use broadly while totally ignoring several entire classes of harm, so they're effectively contributing to AI hype, especially with such casual talk of AGI and robotics as if embodied AGI were just around the corner. To be clear about this point: we are several breakthroughs away from AGI under the most optimistic assumptions, and giving the impression that those will happen soon plays directly into the hands of the Sam Altmans of the world who are trying to make money off the impression of impending huge advances in AI capabilities. Adding to the AI hype is irresponsible.
- I've got a more philosophical criticism that I'll post about separately.
I do think that the idea of using AI & other software tools, possibly along with robotics and funded by many local cooperatives, in order to make businesses obsolete before they can do the same to all workers, is a good one. Get your local library to buy a knitting machine alongside their 3D printer.
Lately I've felt too busy criticizing AI to really sit down and think about what I do want the future to look like, even though I'm a big proponent of positive visions for the future as a force multiplier for criticism, and this article is inspiring to me in that regard, even if the specific project doesn't seem like a good one.

🥳 New Kitten release!
Markdown and general renderer fixes.
Fixed:
• Nested Markdown sections rendering bug.
• Detection of components in Markdown where the opening tag spans multiple lines.
• Support for returning a component as a top-level object in a page.
• Slots in Markdown now work as they should (make sure you add them as block-level items, so with a leading and trailing empty line)
Enjoy!
:kitten: 💕

Hey! Just wanted to boost this cool shirt I bought from https://vkc.sh/merch/.
Linux is awesome & so are you! Thanks for making cool videos and shirts @…!
Support small busi…

i recently left fedi for a bit cause i was feeling like shit and unable to do anything but spread that energy, and during that time i cobbled this together off a few loosely connected notes and thoughts for an unreleased project of mine. i dislike it but dont really know what to do about that anymore, so here u go. all words treasured.
#art

ChatThero: An LLM-Supported Chatbot for Behavior Change and Therapeutic Support in Addiction Recovery
Junda Wang, Zonghai Yao, Zhichao Yang, Lingxi Li, Junhui Qian, Hong Yu
https://arxiv.org/abs/2508.20996

ChatThero: An LLM-Supported Chatbot for Behavior Change and Therapeutic Support in Addiction Recovery
Substance use disorders (SUDs) affect over 36 million people worldwide, yet few receive effective care due to stigma, motivational barriers, and limited personalized support. Although large language models (LLMs) show promise for mental-health assistance, most systems lack tight integration with clinically validated strategies, reducing effectiveness in addiction recovery. We present ChatThero, a multi-agent conversational framework that couples dynamic patient modeling with context-sensitive t…

Yeah, here are my favorite movies and shows below, separated into series and movies.
Movies
Lady Oscar: https://www.imdb.com/title/tt0077827
Joker (2019):

You can already find the #fedora foot gun ricochet, all before any gun was fired.
#bazitte #gamingonlinux

Remember that my support posts are only starting points, templates. They are not the final word on support.
Added that reminder as an update with examples of more testing *you* need to do (anchor link):
https://adrianroselli.com/2025/04/tweaking-text-…

Tweaking Text Level Styles, Reprised
In 2017 I wrote Tweaking Text Level Styles (terrible name in retrospect) and I made regular updates over the years. Stop reading it. Remove it from your bookmarks. Unlink it from your posts. Print it onto paper and then burn it. Demo Wrap-up The conclusions and…