There is plenty of music you can't find anywhere.

Tomorrow is going to be 37

Wtf, it's supposed to be winter down there. I grew up in those areas, and August is supposed to be very cold.

everything got wiped out by a bunch of 1 karma accounts. Reddit is a joke.

Join MAM

Use docker with something like gluetun and run transmission docker sharing gluetun network.

There are always rules. Typically, in most trackers, you are required to maintain a ratio > 1, but there are ratioless trackers where they don't care about the ratio. Also, you often have a minimum seeding time required meaning that you need to seed the content for X amount of hours (X varies from tracker to tracker). But it is not a big deal, because in private trackers you don't have hundreds of peers connecting to you, therefore seeding doesn't necessarily mean they are going to choke your bandwidth.

If you need to build upload buffer (to improve your ratio), private trackers also offer Freeleech content, and seeding bonuses that you can exchange for virtual upload data. So with some time and little patience, you can download from PT anything.

But again, each tracker has its own rules, and at the end of the day, these rules make the tracker better for you and everyone.

You had your Plex open to the public with that setup. That's not secure at all, unless you wanted anyone to access it.

If you can port forward from your own IP and it's kind of stable, you can run a wire guard server to access your network and Plex.

If you can't portforward you can try a mesh network like tailscale.. there are other solutions as well. The fastest apparently is netwmaker, but you need to have a server with public IP. You can use a cheap VPS.

using Spotify is much easier... until they delete a few tracks from your playlist.

Mam? edit: getting into MAM is not difficult if you know English. I got in there on my first try. From there I got to so many other private torrents, I got very good comics and ebooks.

Thoughts and prayers 🙏

I didn't read the article. But could it be that every platform is trying to limit LLMs to be trained on their data?