That's basically office porn do they have OF?

Workflow in order of time spent is:

1. Ghostty
2. Tmux
3. NVim via kalilix nix devshell flake
4. VSCode
5. Edge

And that's almost the entirety of my work flow screen time.

I just need this in a de-platform'd Chromebook like experience.

It's actually a delightful browser. I don't use chrome or Firefox. Have to disable quite a few things in settings but I almost never have more than one browser window now.

I would love to switch to a better browser when one has this good of UX.

I'm sure it will happen. A season for everything.

Daily driver

All thanks go to @radicalkjax.com for putting up with my marathon nerdiness. 💜🌕🐰

💜 Watching!!!! 💜

I have dedicated 10gb SFP+ fiber backhaul. It's not the 200GB pipes I have at $dayJob but it's good enough to fling live migrations across nodes 👩‍💻🎵🎶✨

I have dozens of terrabytes that have been waiting for this on the power edge.

spinning rust, ssd, nvme, optane, it's gonna be soooo gooood.

I say boldly...... (there will be pain)

I wanted to 4 years ago and I'm just finally getting skilled enough to take a crack at it.

*operator << i meant human operator not k8s operator fml

i have this hairbrained idea to write an oci backed kine etcd backend and that alone would change a lot of the k8s operator story across the entire lifecycle from the bootloader all the way up.

also i have not done enough pre-req investigation to sniff test the notion but getting closer.

Nothing is morally defensible in our commercially colonized modernity.

Puritanical capital already stole that from our living and next generations.

I'm not telling you what you're supposed to be.

Don't police my enthusiasm for human ingenuity & engineering cleverness.

I'm doing good, remembering to be grateful for a healthy day. 🫂🫂🫂

I hope you are feeling better very soon.

Seeeeee ya on my body I can deal with. Pain in the region of my head though, maniacally awful. Do not tolerate well.

So sorry you're going through it 💜

Bread is life mmmm

At some point, when LLM building is as boring as building docker images we'll just train the AI when the wind blows and I think that is cool.

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