All they said was work or school, they didn’t say anything about it being for personal computers. Getting things like this working makes a business using Linux for their work machines even more viable than it already is.

Another good option is Arcane. Its project structure gives you a good place to put bind mounts which you can edit the contents of in app (like configs and such). It’s pretty handy. I am in the process of switching to it from komodo for all of my stacks

AI is Evil -> Irresponsible AI use is Evil AI destroys the environment -> Irresponsible AI use is destroying the environment

All it really takes imo is a small adjustment of words to change your stance from looking like zealotry to actual concern for the issues. I also think these sidetracks are important, to be fair. Otherwise we wouldn’t have had this conversation to deepen our understanding of the issues.

I would be more than willing to agree if the message was “Frontier AI labs are causing massive harm to the environment by facilitating irresponsible use of AI” rather than “AI is evil, fuck you for using it” (not saying those are your words, just getting my point across lol)

Then why did you say they were leftist?

As for the layoff blame, just because I say I like hamburgers doesn’t mean I hate hotdogs. Layoffs can be happening from both those things, and just because people are acknowledging one source doesn’t mean they are helping the other source…

He doesn’t care for misguided opinions not backed with anything but emotion. The people he is talking about don’t actually look into the issues and fight those, their mind is set that AI is evil and you are too for any usage of it, without actually understanding anything about the situation.

There are situations where using AI uses less power than traditional methods, there are situations where the power is clean, hell there are even models getting made that don’t use stolen data. Some people use it more responsibly (use tiny models where possible) while some toss everything at whatever new Fable or Opus is available.

There are levels of AI usage and their blanket statements with no understanding are annoying because it alienates the people that are responsible with their usage.

Maybe I am just not understanding your direction based politics, but isn’t it the right that put him in office? Isn’t your comment backwards?

To be clear, I literally don’t know, it’s hard enough following my own country’s politics lol

Thanks for mentioning that client! Just gave it a go and its probably the best client I have tried so far

Not talking about caching (though there would be some decent memory savings due to that on general platforms like ChatGPT and tools like Codex). I am talking about large batch sizes, which are concurrent requests all accessing the same memory at the same time. The model is loaded once onto the GPU(s) and then many simultaneous requests can read that memory at the same time. When those requests are all processing their responses simultaneously, the energy per token drops off a cliff.

And yes, running a smaller model would generally take less power, but thats not really a fair comparison. Small models just wont give you the same results as larger ones. You need to compare it apples to apples. If you want to compare your local Qwen model running on your laptop, you compare those numbers to larger systems supplying that same qwen model to thousands of people. Just because we are comparing cloud services to local doesn’t automatically mean GPT 5.6 vs Qwen 3.6 27B. There are plenty of cloud AI providers running all sorts of models and sizes.

As for one of the articles I learned alot of this from originally, this is one I recommend going through. It really goes deep into the whole topic: https://arxiv.org/html/2601.22076v1

Very serious. Your personal amount of usage means nothing at all in this conversation. It is entirely about tokens per watt. The amount of energy the memory operations involve scale incredibly well when people are accessing the same object in memory simultaneously. Last I looked it was around a 10x difference for the same models efficiency.

If you want me to be your personal search engine you’ll need to wait a bit, im making dinner right now and would rather look for the articles on my desktop.

You have that backwards. The only thing you gain from running local models is privacy. It is not cheaper, it is not more efficient. You are actively hurting the environment MORE by using a local model on your own. LLM efficiency sky rockets the more users there are on a single loaded model.

IMO the only way we get to efficient LLM usage would be by having very efficient non frontier models running only for its local community to use, where you can have assurances on whether its power source is clean or not. That doesn’t help with the plagiarism aspect though

Thankfully I have managed to get everyone to switch from Messenger to Signal, atleast for talking to me haha. Two other family members being privacy oriented too really helped getting the rest of the family moved over.

Must be more popular in your country, in Canada I don’t know a single person on whatsapp

uhm, no? Literally none of that was considered AI. Even chatbots, people weren’t calling them AI until LLMs came around and were stuck in them. Lisp is a language USED for AI research, that doesn’t make it AI itself.

This bot is most definitely not even close to what people consider AI

It wasnt even LLMs until the public took the term and changed it lol. Unless you are calling every algorithim ever made AI these days, this isnt AI.

It isn’t AI, you can take a look at the source code for it from the url it provides. Obviously the detection needs some tweaking, but extra acronyms in the list doesn’t really hurt anything when the other half are relevant.

When did you last check? I believe jellyfin apps made it onto tizen OS a few months ago

I usually download an epub of the book and put it on my Kavita server, then read from my phone.

“anything but google maps” is its own list item, not starting a new list. That list just doesn’t have a googlemaps alternative in mind so they used that.