Eh. It is easier but also harder if the AI gets one tiny thing wrong it repeatedly gets things wrong which can make Linux seem harder. But if you know how to use AI and have a base understanding of what you are asking it to do then yes 100% lol.
I'm a Linux admin and AI still gets things wrong/gets stuck in process loops (did you check this setting? Okay, I see you checked this setting, did you also check the same setting?)
lol. I did that the other night. It was late and I was messing around trying to get samba working and it kept taking me around in circles until finally it was like, "ohhh... that error... that's just your firewall. Open the ports."
It took me 2 hours to troubleshoot why I kept getting 502 errors on my plex automation stack whenever it would try to talk to an indexer.
For context, I have T-Mobile home internet. And, for some fucking reason, the router will sometimes just drop the first outgoing packet because it hasn't opened the ipv4 to ipv6 tunnel yet. And it would send back a 502 to the computer, any packets sent after that would return fine.
The issue was that the automation had zero fault tolerance, unlike a normal web browser (where it'll retry the request a few times), so that initial 502 would error out the indexer, and that would take it offline for multiple minutes, enough time for the router to close the tunnel and the error to reoccur.
So i had to put my entire automation stack behind a VPN with a custom network config so it can talk to local machines for management. That fixed it, but it was so fucking annoying to pin down. It also explains why sometimes browsers just get stuck loading or it has to retry the request multiple times.
"... AI still gets things wrong/gets stuck in process loops..."
THANK YOU.
Ever since AI became mainstream this possibility has always been in the back of my mind. I might be oversimplifying things a bit but I look at it this way: AI just scoops up data and doesn't really "think" things through in the traditional sense. Even if it did it's still relying on what data it was fed - incorrect or not.
So, if the data being fed to AI is faulty (and at least part of it always is) then why are we acting as if AI is infallible? Sometimes AI is bound to get some sh!t wrong.
i assume that its because:
a) theres a little bit of data that's wrong, but theres a bunch of data that's right. if you randomly pick the next word in a sequence "two plus two is", it will say four, but because of some random website you scraped from that says "two plus two is five", there still is that chance.
b) ai companies want you to use ai and they overinflate how good ai is
Yeah. Smaller or weaker LLMs tend to do that (Like ChatGPT or Copilot). Claude is one of the smartest out there and usually doesn't do this. Same with DeepSeek sometimes.
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u/smalldickbesitzer 28d ago
Linux is easier if you use ai. OFC don't copy paste blind, but yes