Kata1yst

Just chip a couple bucks to your local instance owner! Basically the same thing, without the glitz.

It can. Most people just use the filesystem watcher, but this looks nice. https://github.com/deathbybandaid/tdarr_inform

Highly recommend using tdarr. Not just because the radarr container won’t do it, but because tdarr is so incredibly powerful.

A weird crossover between linuxmemes and cremposting

Hard disagree on them being the same thing. LLMs are an entirely different beast from traditional machine learning models. The architecture and logic are worlds apart.

Machine Learning models are "just"statistics. Powerful, yes. And with tons of useful applications, but really just statistics, generally using just 1 to 10 variables in useful models to predict a handful of other variables.

LLMs are an entirely different thing, built using word vector matrices with hundreds or even thousands of variables, which are then fed into dozens or hundreds of layers of algorithms that each modify the matrix slightly, adding context and nudging the word vectors towards new outcomes.

Think of it like this: a word is given a massive chain of numbers to represent both the word and the “thoughts” associated with it, like the subject, tense, location, etc. This let’s the model do math like: Budapest + Rome = Constantinople.

The only thing they share in common is that the computer gives you new insights.

You’re talking about two very different technologies though, but both are confusingly called “AI” by overzealous marketing departments. The basic language recognition and regressive model algorithms they ship today are “Machine Learning”, and fairly simple machine learning at that. This is generally the kind of thing we’re running on simple CPUs in realtime, so long as the model is optimized and pre-trained. What we’re talking about here is a Large Language Model, a form of neural network, the kind of thing that generally brings datacenter GPUs to their knees and generally has hundreds of parameters being processed by tens of thousands of worker neurons in hundreds of sequential layers.

It sounds like they’ve managed to simplify the network’s complexity and have done some tricks with caching while still keeping fair performance and accuracy. Not earth shaking, but a good trick.

You’re proving that your hate is founded on word of mouth instead of facts. There was an accepted RFC for secure sharing of desktop resources years ago. It’s solved. Many applications have already ported in.

• actually Nvidia largely does support wayland now

• it’s on those applications to support wayland, not the other way around. X certainly wasn’t developed to support upstream.

• adopted an extensible standard, regardless of how it makes you feel.

• more secure and resilient to a variety of attacks, including keyloggers. Yes very bad.

• how about the fact that nearly all X developers founded and are now supporting Wayland, and X hasn’t had meaningful development aside from break/fix patching for over a decade?

• you probably shouldn’t.

Pocketbook eReaders are very high quality and run Linux out of the box.

I’ve had excellent luck with Docspell. https://github.com/eikek/docspell

For second hand, I highly recommend https://serverpartdeals.com/

I know a person who does AIX consulting with Cobol. She works about 4-8 weeks a year spread between 3 companies and makes enough to raise a family and fund a massive hobby farm. Helps to be in an area with a large fintech presence I imagine.

You don’t know, they might be using a 70in TV as a monitor.

Person A: it’s bad that China is bad.

Person B: OMFG but USA bad too!

Like, do you actually think this is a real defense for China’s behavior? Or are you just blustering because you understand there is no defense and that hurts your world view?

Probably tweeted years ago.

Discworld.

RFC3339! It’s like ISO8601, but good!

They figure if they don’t do it, someone else will. And they’re arrogant enough to think that them doing it will be the best scenario.

Hahahahahahahaha… A board more interested in non-profit work vs making more money? Sorry, I think this is way over optimistic.

It’s more for the advertisers Google hosts on YouTube than any values Google is trying to project on their users, I bet. Advertisers don’t want their products advertised next to explicit content.

Google search is a little different in that the content is fairly separated from ads, unlike YouTube where they’re inescapable.