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
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
the one thing that most federated platforms have over centralised structures is the possibility to migrate out of your current shitty fiefdom and the fact that the actual code is open source, so a community can make the choices about the possibilities the technology provides (which is mostly usually better than whatever a for profit company is “forced” into), whereas a centralised platform like bluesky can just ruin the codebase and keep it’s users hostage… which after all is one of the key factors to enshitification
edit: i do agree on your other points though, social networks are bound to turn into bubbles and we’ve already seen defederation based on petty squabbles :shrugs:
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? :/
the level of “cutest boy in town” i believe
wololooooo
huh? it’s got a dock… just open your browser of choice and start streaming?
yeh plus old should be specified probably… i got an x230 for this reason, changed 2 screens and both hdmi outs are dead (second one being on the dock)
very sad about that, it even has an easy access hdd drawer :(
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
but wait, it gets even more cyberpunk: the security cam footage is on streamable! :o https://streamable.com/2e8p4v