The training is a huge power sink, but so is inference (I.e. generating the images). You are absolutely spinning up a bunch of silicon that’s sucking back hundreds of watts with each image that’s output, on top of the impacts of training the model.

I don’t really have issues with them aside from the youtube mirrors 🤷‍♂️ and even then libredirect lets you set fallbacks so I just stack them and rarely have problems

When I have to use a big tech platform I use a privacy preserving proxy site like invidious for youtube. The LibRedirect extension for Firefox makes it really easy and has a surprising number of sites it can serve mirrors for

When I’m forced to use windows it’s the LTSC IOT version with telemetry disabled via group policy and a local account. I run O&O shut up after that, then install portmaster. I don’t run it as a daily OS but I think that’s private enough for my limited use case. My only other random recommendations are using either scoop or winget for package management, and komorebi with whkd for tiling window management.

Haskell mentioned λ 💪 λ 💪 λ 💪 λ 💪 λ

I use pfetch-rs in new terminal sessions to add a little bit of decor. It doesn’t do anything but look nice, I just added some custom ascii art and it shows some specs

You can make custom images of this with some software called BlueBuild. I base mine off of the SecureBlue project then tweak it for my needs

Oh no not the plagiarism machine however would we recover???

Please fail and die openai thx

Also copyright is bullshit and IP shouldn’t exist especially for corporate entities. Free sharing of human knowledge and creativity should be a right. Machine plagiarism to create uninspired mimicries isn’t a necessary part of that process and should be regulated heavily

Was funny until I got to the slur jfc