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.

Good luck to the students sueing. The school board should literally have to hide their identities in embarrassment for this stunt.

When being a super-consumer is the only qualification for your cult.

Yes everyone who plans to attend a Tesla Takedown protest should fully read effs guide to attending a protest. Protect yourself from political retaliation by staying anonymous!

Yeah maybe it’ll be a gulag in Russia instead of El Salvador

No he’s obviously gonna stop there. That’s totally the line for him and he won’t cross it. /s

Its power games. Everyone is in a mad grab for power and I don’t forsee the supreme court undermining their own authority, even for the presidential pumpkin.

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.

I know the general public doesn’t care but isn’t this literally the “find out who you’re not allowed to criticize” meme?

Yeah cuz plugging my ears and saying “la-la-la” is gonna solve my issues

Are those leopards I hear?

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.