We Avoid Temptation But It Keeps Finding Us
I’m very much not an expert, but I’d imagine it’s similar to how AES-NI works: the task is CPU/GPU-intensive until specific instructions are designed to do whatever blackmagicfuckery level math is required, and once it’s in hardware it’s more both power efficient and faster.
That’s not either scale being intuitive or unintuitive, that’s your familiarity with one over the other.
I got curious so I did some research on the definitions and why everything is this way. It looks like they originally picked the coldest thing they had (brine, possibly inspired by the coldest weather), the freezing point of water, human body temperature, and the boiling point of water. It was supposed to be brine at 0, water freezing at 30, the human body at 90, and water boiling at 240. Fahrenheit then recalibrated his scale slightly to make his math (and thermometer design and production) easier, and also because he noticed water actually boiled at 212 by his newly modified scale.
Looking at it like that work the context of what they had at the time and what they were trying to do, it makes a lot of sense.
If I’m reading that correctly, yeah all you should need to do is install the AUR package. 1.1-1.3 in that section are different options that don’t depend on each other.
There is and there isn’t.
Some things are pretty standardized. Users and groups, permissions, systemd (usually), a lot of the underlying architecture is pretty much the same everywhere.
A lot is very much not standardized. Booting, networking, desktop environments, what specific software is installed, the specific package manager in use, I could go on and on.
To learn the former, the book I recommend is the most accessible thing I’ve read. You don’t need to read everything, but portions were very helpful. To learn the latter, your distro will have the info you need, or should at least tell you what to look up elsewhere.
How Linux Works might be what you’re looking for
If you have the opportunity, vote-by-mail is genuinely awesome also. I qualify in my state because I’m chronically ill, and it’s one of the few silver linings. I get a ballot in the mail every time an election happens like clockwork, I have time to do my research and it’s significantly harder to forget.
Either OP is playing the really long game or they didn’t actually make this. The image is from Wikipedia that was taken by some dude in 2015.
Maybe not 40km, but still, are you absolutely sure about that?
There was an implied /s there.
I’ve installed Arch a dozen times at least over the years on various machines.
First off, some advice. People will tell you to watch videos or read some specific guide, and by all means do so to get an overview of the process, but I’d highly recommend double-checking everything against the official install guide. It’s fairly terse but contains everything you need to do, and if you research the topics you don’t understand you’ll learn a lot quickly. This is best done in a virtual machine the first time unless you have a spare machine laying around.
Overall, it amounts to creating the install medium, booting it, any post boot configuration (including networking), partitioning and mounting your disk(s), writing some config files and installing the base packages and a bootloader, plus anything else you may need or want. I’m glossing over a lot of individual steps and “anything you may need or want” is essentially endless, but you get the point.
Overall it’s involved but not terribly difficult. Like I think others have said, fairly similar to building a desktop from parts. Gentoo is a step up, and installing Linux From Scratch another few steps above that.
https://en.m.wikipedia.org/wiki/Centipede#/media/File%3AMillipede_centipede_side-by-side.png
Assuming this is actually representative of the difference, it was definitely a pair of centipedes.
I’m not surprised in the least that at a minimum it’s more complicated than the meme suggests, and now I’ve learned far more about centipedes than I ever wanted to. Thanks!
Ok now I’m curious about what the fuck the two centipedes I found in my basement that I thought were fucking were actually doing. They sure looked like they were fucking.
Have you tried factory resetting?
And they told you no, and you went online to write an angry screed about the wrong organization (the organization that pays GNU’s bills btw)?
Maybe go fix the problems they pointed out to you and then remove any code you didn’t personally write or have appropriate permission to use and resubmit it. If you really want to work with them, you need to meet them where they are. They’ve almost certainly been doing this longer than you’ve been alive (same for me tbf, I’m not that old), and while they’re not perfect they write good code.
Maybe it doesn’t need to be.
I’m not going to say AI is completely useless, because it’s objectively not. I’ve heard it’s incredibly helpful in pharmaceutical development and science and shit like that.
LLMs are fancy autocomplete. They guess the most likely next word, based on some fancy-ass math I can’t claim to attempt to understand. They don’t understand the code, or anything really. It’s all math and weighted probabilities internally. How can something that doesn’t understand what it’s actually saying write good, usable, actually correct code all of the time? Sometimes it gets lucky and you get a working snippet, or it rips off someone else’s code (possibly verbatim), and sometimes it just generates nonsense.
I’ve had the last option happen to me personally. I asked it to generate a script in Home Assistant (fantastic software by the way) to dim my lights automatically over half an hour. It worked, sometimes, but the math that actually stepped the light down in brightness wasn’t correct and the script failed intermittently.
Maybe it can help write boilerplate, but realistically there will be additional errors inserted and it will require an actual living breathing human to fix.
This is also entirely beside the point that I think you’re mixing up the FSF and GNU project. They’re related but not actually the same. The FSF is fundraisers and lawyers, GNU writes code. That might be why FSF never responded, though to be perfectly honest given what you’ve said, GNU will likely want nothing to do with it if it’s tainted with AI-generated code. That’s a lawsuit waiting to happen (literally) for no benefit from their perspective.
What exactly do you think the FSF is going to do? Their focus is on lobbying and legal action afaik.
That is an impressive grade of bullshit.
How well has that particular excuse worked with law enforcement in the past?
In case anyone is curious, it’s essentially the same as the PC version on release. 4 apps total (If there are more I can’t find them), 0 other features worth mentioning besides an “install” button.
Not now. Maybe it’ll be useful once the bubble bursts and a few actually decent uses for something that could actually run on a phone emerge from the rubble and actually work.
At the moment I’m not seeing a whole lot overall that actually works unless you’re an expert using it for science or something like that.
It’s things like this that make me mad copyright was extended so long. It was originally set at 20 years to prevent this from happening and encourage people to make new art.