The reserved space in ext4 doesn't do you any good if root is the user that filled up the disk in the first place, which is far and away the most common thing I see.

Dishwashers, refrigerators, even (and perhaps especially) cars.

"Just don't connect it to the Internet," is sadly less viable option as time goes on.

"Spinning it to bypass the safety" is not a thing.

Please don't spread FUD.

I didn't include it with my comment because I didn't want to be seen as shilling it. And because it's not likely to be useful to anyone but me.

It's definitely an exciting time, but in terms of advancements in the state of the art, there is a lot of low-hanging fruit left to pick. There IS a bottom, however, as you can only encode so much "knowledge" in a small number of parameters.

This feels to me a lot like what the early days of what radio or aviation must have been like. Or, heck, microcomputers even.

Instead, I could tell literally no difference. Multiple desktops works fine, scaling works fine, screen capture works fine, old apps work fine, literally everything works just fine.

Good job, KDE team.

Of course, LLMs are non-deterministic and do occasionally make mistakes, so you have to use them correctly and review their output. You shouldn't paste a doc into the web UI and tell it "fix all the mistakes and write the output to a new file." You should instead have it present each mistake and fix to the user as a diff and let the user approve or deny, either within the application or allowing the user to make their own edits. Never let it "rewrite" the whole document, that's the document-editing equivalent of giving OpenClaw root on your personal computer. Nothing good will come of it.

Classic spell checkers can't detect homophones. E.g. "there" and "their." Grammar checkers can, but at least the ones that I have used also like to change the tone of my writing to sterile corporate PC speak. LLMs used for grammar checking have not, in my experience, meddled with my tone. (Although sometimes they try to admonish me for it!)

(But honestly I don't think I'm going to bother posting anymore since I haven't gotten a single non-spam lead at all from those threads.)

Local AI capabilities are growing at a rapid pace, but so is hosted AI. While you can do a surprising amount of useful work with a model occupying a few to a few hundred gigs of VRAM, the hosted models are going to be way ahead for a long time.

(And as others have alluded to, a house is a much more stable environment than a car. It takes a LONG time to make most houses significantly warmer or cooler, a car's internal temperature can change drastically in minutes.)