China is largely focusing on the only good parts of AI. The scientific data that can be gained from specialized processing. They’re not going all in on chatbots. Even though they’ve got the green energy to to it. So in that respect, they’re already leading. The US is just racing to bottom.
Music Assistant most of the time. Sometimes I just use Symfonium directly but they both tap into my Navidrome server.
The article author doesn’t understand what Silicon Valley’s actual vision for the future is, but the students do.
It’s worked for their channel so far.
Just call it Condensation.
That’s the thing that’s been an issue. Companies give their LLMs access to everything so certain key people have access to these documents. But normally access is key coded, and without hacking in a way that’s usually very visible to sysadmins, you just cannot get access at all. With LLMs, it wants to give you what you want. There is not currently a way to keep it from being a pushover in some way. It is in part weakness of human language, and part weakness of programming it to work for whomever is doing the asking prompts. There is likely not a way to use language to make it keep secrets through all the possible ways to ask it to give you things. Nothing akin to the hardened ability of good old fashioned password protection at least. And that’s true with potential designs that we’ve not even seen yet. Currently, it can’t keep track of where data originated after a short time. It’s just all data to the model. So you might not easily get access to a file directly, but you can access what it knows about a file because again, it’s all just data and words at that stage.
I honestly don’t think you can create guard rails against prompt engineering in a working LLM. At some point, they’re going to fail or the LLM isn’t functioning. The only solution is to make sure they can’t read data you don’t want shared.
I thought about replying to some comments but decided to make a top level comment instead. There are some valid points a few people have brought up that aren’t the easiest things to fix. Some are, actually pretty easy to fix. Some are issues where Jellyfin forces you to do things a certain way, like file naming convention, which I think is extremely smart to do anyway.
But the one reply I keep seeing is “until Plex stops working, I see no reason to switch”. With that, I mean, I guess we all agree you are going to get fucked by Plex at some point. They’ve been slowly cranking up the heat in the pot. I love my media library and I just couldn’t stand waiting for the rolling boil. I’ve been using Adobe products since 1999. I recognize an abusive relationship when I see it. If you’re happy where you’re at, I mean, by all means. I’m not going to yuck your yum. Many of the issues are exactly the kinds of things the Jellyfin community is happy to help fix with you. I do wish you all the best, but I’ve never gotten locked into a great deal that didn’t hurt when I needed to get out of it before.
Are they Samsung TVs?
Username would be Krasnov I think
Okay, that would be shitty but no empathy for the guy using fucking Waymo.
Are you using wireless? I’m guessing your router is occasionally being oversaturated with traffic. I would turn your streaming quality down to around 2mb and then stream to your device. You can open up Jellyfin in a browser and check the steam information in the Jellyfin Dashboard to check the speed. Keep bumping it up if you want better quality.
If you’re trying to prevent transcoding, then I suggest downloading or ripping lower bitrate content.
If you happen to have a spare router, I would try adding it as an access point and keep your Jellyfin source machine and streaming device on that access point. That should keep the traffic from going through your primary router.
Apple couldn’t monetize firmware so they got rid of it (probably).
Because they block access without signing up.
You’ve got some points but I would argue that antiquated UI will be what saves the Internet. Keeping out bots and AI scrapers with good old fashioned phpBBS systems that have been around for twenty years will be our clean data as we build systems outside of AI and the techbro properties.
I’m far from an expert, but it seems like if one cloud node goes down, pay hackers to slam everything with bot traffic and the system is brought to its knees.
I can’t speak for everyone with my comment here. I really, really hate the side effects of the AI bubble. Where they force it into every fucking element of life. And honestly, I hate even that it’s being called AI. I hate that it’s made traditional algorithmic services worse like Google Now for example. And I hate the lack of privacy it’s brought.
That said, I have no problems with someone using it to complete a project with it. I think it could potentially raise a potential device security concern in a case like this. And probably wouldn’t partake in the app because of that. But I use my own self-hosted LLMs all the time. It helps me format things, saves me time with searching and researching when I want an answer, not knowledge.
There are many rational reasons to dislike and avoid “AI”. As well, there’s many irrational people. And there are some good uses for the technology.
This (seemingly) solves some issues in places like Africa where warlords block or destroy delivery systems to remote villages. Also fixes disaster recovery where pipes are destroyed or water systems are contaminated
Email, dental hygiene, spelling, reality. They just can’t hack a good many things.
We don’t even know if it’s currently being produced at greater numbers (as far as I’m aware). The only public info I’ve seen is that the data centers that haven’t been built will need all of the produced RAM based on handshake deals (not contracts). The RAM makers themselves are doubling down on the bubble by investing into the AI generators as well as increasing costs to insane levels in the process which surely reduces the amount of items sold.