Like a highway brake failure ramp, you have room for handling failures gentler. So services don't just get outright killed. If you monitor your swap usage, any usage of swap gives you early warning that your services require more memory already.
Gives you some time to upgrade, or tune services before it goes ka-boom.
If there isn't a way to get pass more than a few days, regardless of any choices made, the one lesson simulator is giving is "there's no way an autistic developer can last a few days without burning out". Or from a coworker's perspective: "my coworker is struggling, but there's nothing I can do to prevent burn out in my coworker".
Perhaps tune the choices, and the effects to have a net neutral bonus and penalties to have a longer gameplay loop. Having random weights to the actions might work as well.
There's also "diskonaut", a TUI which displays the output like the treemap of WinDirStat. Bonus is that the display is incremental and updates as it scans everything, so you don't need to wait for the complete scan to see how everything looks like.
Written in Rust, and it's a `cargo install diskonaut` away if you have the rust toolchain installed.
Whoa, another (ex?) jed user in the wild. I still install it on new servers, and that was how other admins know if I was ever there. Smaller and faster than installing emacs.
NNCP (Bellard's prelude to ts_zip, using similar techniques) is not qualified for Hutter Prize, btw, because hardware and speed limitations specified by Hutter Prize.
"Must run in ≲50 hours using a single CPU core and <10GB RAM and <100GB HDD on our test machine."
Which is an Intel Core i7-620M
I guess that's why the .zip format chucks its catalog index at the end of the archive. But it's still unnatural to use in a streaming format like tapes though.
What's fun is that the recent references to LoRA stands for Low-Rank Adaptation [1], not Low-Resource Adapters[2] (??? don't know if this even exists), but because Low-Rank Adaptation came out in 2021, chatgpt only explains what Low-Resource Adapters is, not Low-Rank Adaptation, which is what is being used in recent break throughs.
My own questioning of chatgpt on LoRA returns "Logistic Regression Algorithm" instead. Looks like it's too new to ChatGPT.