

Having an autonomous LLM agent in a homelab like this seems like just a matter of time before things go wrong, but it seems like an interesting experiment.
Have you had any issues with the agent behaving unexpectedly?


Having an autonomous LLM agent in a homelab like this seems like just a matter of time before things go wrong, but it seems like an interesting experiment.
Have you had any issues with the agent behaving unexpectedly?


Is AI learning to/recommending to post on Lemmy now? It seems like we’re seeing increasingly more vibe coded projects being advertised here.


I definitely feel the lab burnout, but I feel like Docker is kind of the solution for me… I know how docker works, its pretty much set and forget, and ideally its totally reproducible. Docker Compose files are pretty much self-documenting.
Random GUI apps end up being waaaay harder to maintain because I have to remember “how do I get to the settings? How did I have this configured? What port was this even on? How do I back up these settings?” Rather than a couple text config files in a git repo. It’s also much easier to revert to a working version if I try to update a docker container and fail or get tired of trying to fix it.
At least the kernel requires disclosure of AI use. The new Debian “policy” doesn’t even require that.