Even with LMs supposedly specialising in the areas that I am knowledgable (but by no means an expert) in, it's the same. Drill down even slightly beyond surface-level, and it's either plain wrong, or halucinated when not immediately disprovable.
And why wouldn't it be? These things do not possess knowledge, they possess the ability to generate texts about things we'd like them to be knowledgable in, and that is a crucial difference.
I'm a programmer as well. When ChatGPT & Co initially came out, I was pretty excited tbh and attempted to integrate it into my workflow, which kinda worked-ish? But was also a lot of me being amazed by the novelty, and forgiving of the shortcomings.
Did not take me long to phase them out again though. (And no, it's not the models I used; I have tried again now and then with the new, supposedly perfect-for-programming models, same results). The only edgecase where they are generally useful (to me at least) are simple tasks that I have some general knowledge of (to double theck the LM's work) but not have any interest in learning anything further than I already know. Which does occur here and there, but rarely.
For everything else programming-related, it's flat out shit.I do not beleive they are a time saver for even moderately difficult programs. Bu the time you've run around in enough circles, explaining "now, this does not do what you say it does", "that's the same wring answer you gave me two responses ago", "you have hallucinated that function", and found out the framework in use dropped that general structure in version 5, you may as well do it yourself, and actually learn how to do it at the same time.
For work, I eventually found that it took me longer to describe the business logic (and do the above dance) than to just.... do the work. I also have more confidence in the code, and understand it completely.
In terms of programming aids, a linter, formatter and LSP are, IMHO, a million times more useful than any LM.
LMs give the appearance of understanding, but as soon as you try to use them for anything that you actually are knowledgable in, the facade crumbles.
Even for repetitive tasks, you have to do a lot of manual checking to ensure they did not start hallucinating half way through.
I am using both and this somehow made it to my phone, wtaf
Yeah, +1.
I've been an avid fan of applocation launchers like rofi and dmenu on the desktop forever, and the "swipe down and immediately search" feels as close as it can get to the mobile equivalent of those.
When I first switched to nix, I made an error copy-pasting my hashed password into a secrets file.
Reninstalled the system 5 times, each time immediately locking myself out, almost
Managing ~35 machines without issues now though.
FWIW, Lidarr works the worst out of the arr stack for me too. I don't know if there's just not enough well indexed material in my sources or what, but yeah, not great.
If your entire experience with the arr stack has been Lidarr so far, give it another shot! Sonarr and Radarr work absolutely perfectly. It's just such a nice feeling to open Jellyfin (or I guess Plex) on the TV and go "oh nice new episode is out!"
Darf ich ehrlich sein? Ich fände das besser, als 4 Jahre gaslighting. Genau so scheiß Politik, aber nicht frustriert immer wieder aufs neue argumentieren müssen dass die kooperieren.
Natürlich hoffe ich trotzdem das keins von beidem passiert. Aber Vertrauen hab ich nicht da rein.
Might even be worth checking if https://github.com/NixOS/nixos-hardware has a straight-up fix for the issue.
Wird der die nächsten 4 Jahre nach jeder einzelnen Abstimmung sagen "ich kann nix dafür, dass die afd mit uns gestimmt hat! Wir haben keine offizielle Kooperation! Brandmauer steht! Ist Zufall, dass wir halt der gleichen Meinung sind!"
...ja, oder?
Makes me feel warm around the heart to hear that it's not just me 🫠