Severance. Maybe it’s just being a hobby 3d artist that makes every frame of that delicious intro so captivating

The solution to this is to self-host your own DNS server. This will also let you block ads network wide if you throw something like pihole in front of your DNS.

I second 1DM+. For some reason it’s the most cracked download manager I’ve ever used even compared to jdownloader2. No clue how or why it’s so good, but I also wish I could get it to run on my Linux machine.

Yeah we need to upvote this one for more general discussion. From what I’m reading if Trump gets his way on this one then the fediverse will essentially be able to be crippled by frivolous lawsuits from anyone who dislikes the speech on the platform and essentially make running it impossible within the US. And of course there’s some tech-illiterate grandpas on the Democrats side who fundamentally misunderstand (or willfully and with a stuffed wallet) this legislation and will work with the GOP to end free speech online.

Just gonna drop this link here for anyone who’s interested in a 3rd party Jellyfin user management application. This fixes the issues related to inviting users and allowing them to reset their own passwords. Would obviously prefer all of this built into jellyfin, but solutions do exist for those determined enough.

This is the answer. Not sure why everyone in the comments is discussing disassembly when turning the platters to dust in a couple hard smacks is fast and effective.

About how much bandwidth does this use? I know it says not much but can we be more specific. I want to help but have limited upload speeds.

Running it offline does avoid some of the censorship, but not all. Let me explain: Failsafes are implimented to check what topics are being talked about (like tieneman square). These are not included inside the model itself (though it does have a type of post-training, reinforcement-based censorship applied to the finished model). This second type of censorship (the kind actually included in the model weights) can actually be removed by retraining using similar reinforcement techniques. This means that the Tldr is: There is censorship baked into the model but because the weights are public, it can be removed /bypassed. In contrast the deepseek web app includes both kinds of censorship (and also definitely steals your data). The local model obviously does not.

According to the people it’s about, it misrepresents them as people but not explicitly the events that took place.

What’s this actually mean? It’s not like they didn’t just switch domains and remain online? Article doesn’t mention any arrests so seems like they can just sidestep the domain seizure. Or am I wrong and there will be more action?

Yes but you will have to take extra steps to supply a valid cookie from a signed in account: https://github.com/yt-dlp/yt-dlp/issues/11296#issuecomment-2466538349