That happened to a friend of mine too, which caused major issues because she was using hyper-v for a work project before the machine upgraded itself overnight

Yeah, since it was the discounted OEM edition they sold for $100 or so.

Whatever. I use it to activate my son's desktop and my W11 VM.

Then it could be a specific case that causes the lags. I noticed that a complicated folder structure, maybe in combination with sharepoint links, are the worst. and the icons would take some time to load as well 😞. I'm even on a beefy and expensive company workstation laptop.

Thanks for linking, this will be great the next time I deal with a Windows machine!

It's a great tool for the right tasks. What's annoying is that it's marketed as being a great tool for tasks it can barely do.

It has really sped up the process of writing things in languages I'm unfamiliar with. All the stupid little mistakes it will find much faster than trying to google them. As long as you're critical of the answers I also found it pretty good at explaining how to do things. It will often get some details wrong but as long as you have general programming ability and access to documentation you can usually figure those out somewhat easily.

I doubt anyone here hates AI other than for the big companies pushing it constantly. ML and language models have been a thing since the last decade but we only hate them now cause of how desperate the corpos are about it and oh the data scraping too but that's expected.

For me it helped with:

• Fixing electron apps not launching in wayland
• Fixed my ignis shell code(ricing, these shells keep changing and it's a burden maintaining them)
• automating my system with a few systemd timers.

Albeit I could do these myself by looking at docs but it's not worth the time. Now it just works instead of "maintaining my arch setup".

I felt the same way regarding AI. I always felt like it was too unreliable, and while you obviously shouldn't trust it blindly, it has been doing a pretty good job explaining things to me. I've been using a local model with ollama, i think it's called qwen2.5 coder or something, and it has been helpfull explaining some NixOS stuff to me, where i couldn't find it myself (cause NixOS documentation is all over the place). I also use it for explaining some bash stuff to me sometimes when i'm writing a script. Usually i don't just care about the answer but i also want to learn why something works if it isn't clear to me, and so far it also has done a good job explaining how it works when i ask it a follow up question.

Ultimately that’s what most agenic “AI” is doing these days. Literally just hitting the top few results of Google or Bing and plopping it into the text context.

In other words, if web search is returning very bad results then the LLM will too, if that web search option is enabled. You have to be careful.