Dran

I do this with awesomewm. You define window startup behavior in the main config. Applications can have static behavior to start in certain places or will default to “wherever my cursor currently is”. I suspect i3 has similar functionality

The support isn’t exclusivity for native 32 bit cpus, it’s for 32bit libraries that compatibility applications like wine/proton depend on to run 32bit windows executables

At first I was going to comment that goatse was never a video, and therefore could not be made into an animated gif, but then I remembered img2vid exists. I could see some wild AI slop being pretty hilarious.

Fill your gallery entirely with nothing but AI upscaled 4k gifs of tubgirl

You say that right up until a tracking cookie links some accounts together that otherwise weren’t and some nut job buys your data from a data broker and comes to your house to kill you.

As someone running diffusion and autoregressive models both in my basement and at work, the drive to create open-source models as a method of competition certainly makes me feel like I’m winning as a consumer.

There are JS based torrent downloaders. That would work for the normies to get files, but you’d still have to find a way to convince people to host files on the backend. It’d probably take a full-on desktop client wrapper with an embedded torrent client but that’s a pretty hard sell for the average nerd if you’re upfront, and probably a harder sell if you’re dishonest about it.

That’s reasonable; I just wouldn’t have called my wife’s laptop my laptop I guess. It was either that or there was probably an interesting story behind it.

How many laptops do you own lol?

They’re trying to, but market adoption has said so far that we’re unwilling to tolerate it.

I am fairly certain SmartTubeNext was a rebrand by the same dev.

If you make it only toonami ads I’m in tho

I had an opposing shower thought the other day so I’m going to play devil’s advocate on this one.

I think in a world of rational, good-faith actors (which I’m not arguing we live in), this is both by-design, and optimal at society scale.

Think about those things you’re good at, and the things you’re not so good at. I’m really good with computers, my time is most efficiently spent troubleshooting and building technology stacks. This skillset is in demand enough that I make a comfortable living doing it.

I’m comfortable enough that I have time to learn other skills when needed, but not comfortable enough to hire out all the otherwise commodity tasks I need done. A leak in the roof, a sink that needs replacing, some cat6 through the walls, leveling a floor before replacing broken tile from the 80’s… You get the idea. I can do drywall and other general contractor work but I’m not great at it. It takes me longer to end up with a worse end product than a professional, and I don’t enjoy doing it.

Every Saturday I spend doing drywall could, at society-scale, be much more efficiently spent building a k8s cluster or helping a scientist build software for research. Just like the guy doing my drywall should have a me on the other end of a phone when he needs a new laptop, or his mother gets malware.

When people hit “rich” the unspoken meaning is supposed to be that their time is valuable enough that society deems it more useful to spend it outside of commodity tasks. That seems like a good fundamental design… say what you will about its current real-world implementation.

DRM is already the primary purpose of trusted compute if you read shareholder meeting transcripts; security is a marketing side effect.

“simple majority” is a technical term in this context, it refers to any number >50%. In the context of the Senate, that’d be a 51/49 split, or a 50/50 split broken by the VP.

There are some procedural measures that explicitly only require this simple majority to pass; most bills require a 60/40 in practice because that’s the threshold required to bypass a procedural filibuster. They at the very least require a simple majority + 0 members of a body opting to invoke filibuster.

Say what you will about the people we’ve currently elected; I just stand by it being a sound procedural practice.

Yes they were, so I’m offering you an actual theory as to why this may actually be true, yet difficult to “prove”.

Smoking was bad for your health long before anyone sat down and took the time to prove it. Autoregressive LLM tokenizer are a very new field of computer science and it’s going to take a while for the community to collectively understand everything we’re currently doing by trial and error.

I try to keep my commentary as apolitical as possible, so what I’ll say is:

If you believe that the current ticket is the Cthulhu/Lucifer ticket, imagine what they could accomplish if every bill only required a simple majority.

Anecdotally, I use it a lot and I feel like my responses are better when I’m polite. I have a couple of theories as to why.

1. More tokens in the context window of your question, and a clear separator between ideas in a conversation make it easier for the inference tokenizer to recognize disparate ideas.

2. Higher quality datasets contain american boomer/millennial notions of “politeness” and when responses are structured in kind, they’re more likely to contain tokens from those higher quality datasets.

I haven’t mathematically proven any of this within the llama.cpp tokenizer, but I strongly suspect that I could at least prove a correlation between polite token input and dataset representation output tokens

There are a lot of moderates that are hesitant about AOC. She’s expressed ideas like getting rid of the filibuster, which would be great while “your” party is in charge, but is one of the very few checks available for a minority party to halt truly controversial legislation. The extra steps are kind of dumb, but the foundational idea that legislation should at least require a 60/40 majority most of the time enforces an idea of compromise and representation in almost every bill.

I would shudder to think what a bad president could put through if unchecked by the opposition party in an essentially 50/50 politically divided populace.

When ML training farms run out of new text to train on, “they” may very well want your original writing too…