To be fair, sometimes it is right to take the code from the questions. Eg if you want behaviour x and the question is “how do I do y, my code is only doing x?” Then the code you want is from the question.

Unraid is not a backup. It is good, but if your data goes wrong for different reasons or you lose the entire device, you can’t restore it. Dedicated backups are a must for anything serious!

Just got into lilypond recently and the output is really high quality. It is clear a lot of care went into its design.

Checkout

Depends how much time you spend in a text editor. If it is just for a few config edits and stuff, honestly there is little reason to learn. The real benefit is if you spend a lot of time editing text due to the time saved using more powerful commands. There is the additional benefit that vi/vim is installed on practically any Linux box, so you will almost always have a familiar editor to hand in an unfamiliar environment.

Go through the tutorial. It is quite good and teaches things incrementally with real world examples. Just run vimtutor to start.

Those are two completely different things. It is like saying “why hammers not apples?” There is no logical answer, they are just two completely different things.

I think children go in dictionaries so you can look them to via name (key).

You are supposed to use the metadata editing if it is not already correct then it well automatically sort them for you. You can edit multiple tracks at once to set the album in one go for example.

Strawberry has all those things.

Client: “Can you switch these two colours, you have 1 minute to fix it or you’re fired!”

Result:

Same, I thought it was used commonly too.

It isn’t misusing metric, it just simply isn’t metric at all.

Phrod?

Stop giving them ideas!

If I’m being honest, it is fairly slow. It takes a good few seconds to respond on a 6800XT using the medium vram option. But that is the price to pay to running ai locally. Of course, a cluster should drastically improve the speed of the model.

You can run llms on text-generation-ui such as open llama and gpt2. It is very similar to the stable diffusion web ui.

It is just how I prefer to do my computing. I tend to live on the command line and pipe programs together to get complex behavior. If you don’t like that, then my approach is not for you and that’s fine. As for your analogy, I see it more as “instead of driving down the road in a car, I like to put my own car together using prefabs”.

Option 4: levy existing tools such as gpg and git using something like pass. That way, you are keeping things simple but it requires more technical knowledge. Depending on your threat model, you may want to invest in a hardware security key such as a yubikey which works well with both gpg and ssh.

3^10-1=59048.