

Is the white negative space the butthole?


Is the white negative space the butthole?


You’d think walking was a basic feature of humans, but so many do it incorrectly.
It doesn’t seem like you’re a engineer: everything and anything can fail. It’s just how the world works.


Might be this bug. You can add more information to it and possibly help the devs fix it. There’s another one that seems to be the issue, but presenting differently.


Russian insults in the terminal after installing packets from the AUR.
Mozilla took big money and lost users due to focusing on money and keeping the status quo. Money is necessary, that is undeniable, but too much money is bad and I think the evidence is quite clear that this is one of those cases.
There are hundreds of millions of Firefox users? That can’t be right.
And Big Goo pays well, but at what cost? Has it really made Firefox better?
Good to know that the people in Mozilla are actually capable of leaving. What I don’t understand is why they don’t all leave together and get themselves leaders who actually care about Firefox instead of the dollars. I bet that if there was a big push by Mozilla employees to a new browser on top of Servo (as was originally the plan?), they joined whatever foundation Servo has, and they made a lot of noise about it, many people would be itching to move their donations over from Mozilla to OpenCollective.
Firefox lost users not only because Big Goo threw thousands of engineers at their own browser, but because they actively fucked up nearly everywhere they could. Sure, FF got faster and more stable and and and, but it also introduced a ton of crap nobody asked for. They also had random projects that had absolutely nothing to do with Firefox which just wasted their time and money.


Welcome 🙂 We hope you continue enjoying it!
Pro: it’s GLOSS - Gratis Libre OSS.
Con: it’s run terribly. The Linux foundation could be doing a much better job. 1-2% of its funding go into the linux kernel.
It is primarily sponsored by the government of Switzerland 🇨🇭 where it is currently deployed for citizens.
Now this, I like!
Github, not so much


I’ll wait a few months and then check in again.
It stores all metadata in YAML frontmatter and doesn’t cache in an SQLite blob? I bet that decision will be reversed pretty quickly once people try to migrate a 10k+ note collection and want to do operations like search immediately instead of scanning every file to build an in-memory cache.


Thank you. That’s good to know.


Thanks for the response. It’s interesting to read about the experience of others.


That’s definitely not my level of disposable wealth/income. I can barely afford one card.


Oh nice. Does that depend on just the model or are there other requirements like CUDA or something?


How do you now run out of RAM? Does it offload to system RAM?


Thank you for that writeup.
Do you know how important the parameter size is? 12b, 24b, 128b, etc. Does it really improve performance or is it like megapixels in a camera: more megapixels don’t necessarily mean a better picture?
And what’s “quantisation”. Context compression or something?
I’ve been considering buying a better card to test models (also want to be personally sovereign), but NVIDIA on linux gives me the jeebies and, last i checked, AMD hasn’t released anything with more than 20GB in a while. In fact, figuring out hardware requirements has been tough and I’m considering just riding this whole thing out. Maybe the bubble will collapse and bring prices down to something reasonable.


What’s the quality of the answers though? And how much context can it hold? I imagine it’s only good for small, short questions, but have no concept of what is needed for that.
I’m assuming you’re using a 12b or 24b qwen model. The ones from deepseek go up to hundreds of billions of params and I can’t tell if bigger number is better or just meaningless posturing.


How many GPUs do you even need to have a usable, self-hosted AI? It looks like he has 6 on his rig. Probably each costs 2k or something. That’s not peanuts. I have a 12GB VRAM card. It probably can’t generate anything in any meaningful amount of time. Which brings me to the question: who is this for?
Regardless, impressive what he vibe-coded there.
What’s a KVM? I thought that was a kernel virtual machine, but it seems to mean something else.