I really wish it wasn’t so easy to bot stars… So many projects are so obvious botted these days

I’m not sure how else to interpret your comment… You found evidence of AI and concluded its at least partly vibe-coded. As for the definition, no I don’t think its all that inconsistent. Feel free to look it up.

AI use does not mean vibecoded

Good point, could easily be hex or some higher base

5 digit user ids, yet over 700k users? Im sure they must have gone up to 6 digits

Mind highlighting the part that you think proves your point? You used some of those words, sure, but this is a completely different meaning from your original comment.

malware*

Their software contains a wiretap

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

My way of doing things is probably built on top of having a not very great memory and focus issues, so its actually difficult for me to operate without visual knowledge of an app being open still. That is also one reason it took me so long to make the switch to linux in the first place, GUIs are just so much easier than memorizing commands for me. More of a pattern learner than memorizing words or commands.

From my experience KDE barely has extensions, it mostly has half baked themes. Gnome extensions are in a whole different league

Yeah that is still a while away though. Gnome is pushing it now

It does certainly help, just not great.

And yes gnome does, because it is built around an extension ecosystem. You can’t multi monitor their default dash, but you certainly can use the dash to panel extension just fine on multiple monitors. Due to extensions, gnome is just way more customizable

Yeah im originally a windows boy lol. I grew up with it, and now I just cannot stand not being able to see everything on all monitors. It’s one of the major reasons I haven’t been able to get used to virtual workspaces / virtual desktops. Something about a window being hidden off into the void until I switch over to it just doesn’t work for me

My issue is when editing a panel there is no way to sync that change to all your other panels. I have five monitors and any new change (pin new app, hide something from tray, appearance change, trying new menu theme) needs to be manually done to every other panel too. It’s alot of effort when you don’t even know if you like the change yet.

That is my gripe haha. I don’t want independent bars, I have five monitors and every little change has to be done four more times and it’s infuriating lol. I want to be able to sync them like I can with dash to panel on gnome, but KDE handles it in such an odd way that it’s even hard to script cloning the task bar changes to other monitors.

The way gnome is built around extensions makes it very likely that if you have a pain point, someone smart enough to make an extension to fix it probably did too. I was able to make a very comfortable experience with it.

I also really miss ArcMenu :( I tried so many KDE menu themes and they are just so janky

Im curious what makes you say this?

I switched to KDE a couple months ago after updating to ubuntu 25.10 and finding out gnome is forcing wayland going forward, but most of my daily used applications dont work on wayland at all. KDE will atleast still support X11 for another couple years.

I really wish I could go back to gnome as I just really don’t like how little KDE has thought about multi monitors with its bottom panels/task managers.