cos the ui is why people abandoned it… :picard:

the audacity (sorry :D)

that time she released that album under the name ‘tool’ and it topped her own in the charts surely must’ve been a career highlight :D

TIL

guess i just never botheres to try cos config change & rebuild wasn’t much more of a hassle :shrugs:

just for clarity: you can modify stuff like hosts or cron jobs but it’d get overwritten iirc? you can also make the change in the config and have it persist (reproducibility being the main point, not disallowing you to edit your files)

well if it makes you feel better you just made me man history xD

i just cat grep .bash_history lol

but this does sound more convenient xD

but wait, it gets even more cyberpunk: the security cam footage is on streamable! :o https://streamable.com/2e8p4v

welp, looks like you don’t use python virtualenvs… well i guess jokes on you all your shit is probably broken now (and as a bonus, that’s probably a big part of the donwload size as well) :p

nice… so we need a github marketing campaign to fund the software that makes the world run? nice…

electron has entered the room

tbf it probably is still significantly less that windows, i was being a bit facetious…but it’s still at like 1-1,5gb idling on a fresh boot (this is the whole DE, not just cinnamon)…

i did a fresh install with mate on an old machine though and it was a lot less (the usual 500mb or something) can’t see anything suspicious running though - and yes I did check without any stuff running in the background like steam which is also stupidly intensive with their webkit nonsense

does it still use the same amount of ram as windows? :/

wololooooo

but thank fuck specifically he has cos now it’s a brilliant piece of software xD

yeh that’ll probably be it tbf… the cuda drivers are specifically for scientific computing and are pretty rubbish for anything else unfortunately… even amd ones are like that :(

however a way i found around it is to just push my gpu compute envs to docker and voila (also avoids the pain of installing the drivers cos nvidia actually provides a cuda docker image) :D