Lucy :3

My inner urge to oop that…

soap2day.pe etc. have never failed me.

I know that my Navidrome, Peertube, Lemmy, Mastodon, Matrix, Nextcloud, Immich etc. was still on, so - no, it broke the idiot’s internet.

Nothing.

You mean an A4000? My 1070 can run llama 3.1 comfortably (the low B versions). My 7800XT answers instantly.

No, GNU is the main filling, obviously.

~0.28€/kWh

So 50€/month assumes an average of 263W used 24/7, though considering I also have two switches and a workstation/backup server as well as the inefficiency of an UPS, that is realistic.

Experienced at running my own server: 50€/month power bill

It’s okay I guess

Usually people here migrate away from clouds…

But then why use

Term: explanation

and directly below that

“Term”-- explanation

I literally never had more than 10 dependencies for any standalone program (standalone as in not dependent on a whole ecosystem like KDE)

Or Wireguard on a VPS

What’s the benefit over just WG?

Rust: Downloading 7390327 crates…

If with “good care” you mean “the core functionality is up and running most times”, yes

Until you don’t properly check the diff, a +/- or </=/>/<=/>= was reversed, and you now have an RCE in test, soon to be in prod.

I very rarely find result summarizers useful. If I didn’t find something normally, there won’t be anything in there.

I sure love tests and huge codebases with errors in them. In the time I read and understood an LLM’s output, I could write it myself. And save on time later when expanding/debugging.

Manglement will have to fill an open position real soon

In which case would a competent dev use an LLM?

Do you see “blended learning” combining AI, code, and automation as the new normal?

Could become useful to make monkeys, or you, able to write a hello world program.