Godammit! I bought @pluralistic 's "Enshittification" and "Reverse Centaur" audiobooks, via Kickstarter, downloaded them the other day and I read them BOTH today.
They're brilliant, but what am I going to listen to now? 😅
#TotallyAFirstWorldProblem
I'm still reading the first chapter of #AttackSurface by @pluralistic (audiobook; very well read). This security nerd is enjoying it a lot.
If someone can convince me that the protagonist, Masha, isn't at least inspired by @evacide , I will eat my shorts. (I don't recall a dedication at the start, so it may be moot).
@babe I recognise this troublemaker instance... 😄 (From https://lemmy.world/post/30813714)
Finished the build, install and configuration of my new PC today. The last was an Intel built in 2015 and the new is the latest/greatest AMD. Curious whether this one will last as long.
Gotta say, Arch #Linux (well, #EndeavourOS because it's better; fight me) is *blisteringly* fast on it, even with the older Nvidia 2060 SUPER GPU.
Tested #NewWorld Aeturnum in Steam (my usual game) and #SoulFrame Preludes in Lutris on it, and the fans barely changed under load on highest settings. 🤩
After 30+ years of using #vi #vim - because vi is on ALL *nix systems (repressing my love for JOE, which mimicked my #WordStar origins on the #Microbee) - I've *finally* decided to check out #Emacs this week.
It's been a - um - journey, and a worthwhile one. After all, I just got #Mastodon working inside a *text editor*.
Even with the majesty of #Neovim and June Gunn's #vimplugin, I could never have imagined this was possible in an editor.
It's never a bad time to learn and expand.
I mention CPU twice because... *just the CPU* on an old laptop. It's impressive!
Yet to try it on my main PC with an RTX Nvidia card.
I remember first trying raytracing on Linux nearly 30 years ago, and it took 8-12 *hours* to render a 640x480 image on a 386DX40 with 2MB RAM. Things have moved on so much.
Experimenting for the first time with self-hosted AI-generated images this evening on my Linux laptop to see what it can do: default #InvokeAI install using #StableDiffusion 1.5. Simple to setup if you're familiar with #Python venv and Pip.
Using just the CPU and giving it the prompt "bluebird", this is what it gave in 17 minutes (CPU only). Must admit that I'm pretty impressed.
While I think it's good housekeeping on a platform like this where there's very little value in older content (that's what Kbin, Lemmy and others are for), this was more about practising Python, API, and documentation deciphering.
The latter can be... impenetrable.