GETTIN OLDER ALL THE TIME
GETTIN OLDER ALL THE TIME
Jellyfin doesn’t need any particular setup to work directly from LAN because it doesn’t ever try to use a central login provider the way Plex does.
The only reason OP is struggling with it is because they set it up so that they can only connect to it via Tailscale.
And Generic Ossified Pedants
Yeah, no. The main point of the multi-player is to get help from allies. It’s only if you get that help that anyone can invade your game in Elden Ring
It’s like day-ta vs dah-tah/dah-tuh
Even earlier, Colossal Cave Adventure from 1975 is the earliest one I can think of.
Likewise Dungeon from the same year might be the earliest Empoisoned
EDIT: Nah, Pong predates Dungeon.
One of the first arcade games (1971) was Computer Space. Kinda feels halfway between the two, so that’s fun.
EDIT 2: Think I found the earliest Jumble’s Big Bumble: Hunt The Wumpus, first distributed in May of 1973
Right, I just mean if your connection speed is faster than your server can transcode, then the transcode speed will be the bottleneck
It’s limited to the transcode speed, but it’s important to keep in mind that e.g. if you transcode to a lower resolution especially it’ll usually transcode faster than realtime.
FYI Jellyflix also supports that
Yeah, agreed. You can appreciate the art and still think the guy is a douche who people shouldn’t have to put up with
This. Jellyfin has a direct HDHR integration and works as a DVR directly with one.
Setting up multiple controllers on the Steam Deck is mostly plug and play. At worst you need to run the mapper, which takes all of 2 minutes
The person you’re replying to linked their literal reliability stats lmao
Using numbered lists is a common tactic in debates and other public speaking when you have prepared talking points you want to hit.
Basically it’s a mnemonic technique to help make sure you list all of your best points/pieces of evidence. You list them in the same order every time so that to recall the next point on the list you just need to remember the overall topic and the number that you’re on. That way it’s easier to contextualize the memory and retrieve it consistently.
So first of all, you shouldn’t involve yourself in your friend’s business. Fraud is generally frowned upon.
But secondly, you know that ChatGPT was trained on the entire internet, right? Like, every book. I don’t think “more books” is gonna help.
I hope you take your computer skills and make something of yourself. Try not to get any more involved in this scheme, seriously. You don’t need this crap marring your reputation.
Besides, there are better reasons/ways to fight the system than helping other people avoid learning.
Just that they’re no easier to use to fool an anti-AI system than using ChatGPT, Gemini, Bing, or Claude. Those AI detectors also give false positives on works made by humans. They’re unreliable in the first place.
Basically, they’re “boring text detectors” more than anything else.
I believe commercial LLMs have some kind of watermark when you apply AI for grammar and fixing in general, so I just need an AI to make these works undetectable with a private LLM.
That’s not how it works, sorry.
Quantized with more parameters is generally better than floating point with fewer parameters. If you can squeeze a 14b parameter model down to a 4-bit int quantization it’ll still generally outperform a 16-bit Floating Point 7b parameter equivalent.
Luigi in Mario Kart, Link or Marth or Mewtwo, depending on which Smash game.