Mama told me not to come.
She said, that ain’t the way to have fun.
I don’t audit the code, but I do somewhat audit the project. I look at:
I think that catches the worst issues, but it’s far from an audit, which would require digging through the code and looking for code smells.
pretty much anything and everything is free to use, remix, etc
Most licenses require attribution.
without understanding the consequence
This is the real problem. I’m arguing it’s a good tool in the hands of someone who knows what they’re doing.
Can’t you just send your link to them over SMS, IM, or email? Is the main difference that you can do this from the UI?
I guess entering a code on the TV is pretty cool though. Maybe I’ll poke around in the Jellyfin community to see what the interest is in such a feature, because it should be possible w/ minimal hosting costs.
I haven’t set up Kodi, but I would assume the go-to here would be a minidlna, samba, or nfs server w/ Kodi providing the FE.
Assuming they’re not salted hashes.
I haven’t used Plex, so I’m not exactly sure what it’s doing, but I’m guessing it presents you some sort of search to find the server? Isn’t that pretty much the same as a domain name, just w/ a search bar instead of a URL bar? If your domain is easy to remember, I guess I don’t see an issue. I’ve also heard you can connect to multiple servers, so maybe that’s what people are talking about.
Regardless, I think Jellyfin could handle both. Get some community-funded STUN relay servers to handle discovery and implement a way (if it doesn’t already) to have your client connect to multiple servers. There should also be a way to copy all the configs from one client to another (say, a QR code or UUID, settings copied over the same STUN server).
My main issue is that this could open up servers to more potential attack vectors, and Jellyfin already has some security weaknesses. But other than that, I’d be happy to help implement this sort of thing, a STUN server can be run on as little as a $5 VPS.
And LLMs can help find those FOSS projects and fill in the gaps in their documentation.
I’m well aware of the copyright issues here and LLMs can make it easier to violate copyright, whether it’s protected by a proprietary or a FOSS license, but that’s up to the user of the LLM to decide where their boundaries are (and how much legal risk to accept). If you’re generating entire projects, you’ll probably have problems, but if you’re generating examples on how to accomplish a task with an existing tool, you’re probably fine.
LLMs are useful tools, but like any tool they can be misused. FOSS is great, LLMs are great, use both appropriately.
It’s still very permissive, you just can’t remove their branding.
What does this have to do with technology?
I still would be, but I’d have fewer things to tease Windows users about.
Same. The vast majority of my apps are from F-Droid or directly from the dev, and only a handful are from Google Play, and those are all on a separate profile. There’s only 2 or 3 I actually need, and I can probably work around those.
Screw you Google, my next phone will probably be a Linux phone so I don’t need to deal with this crap anymore.
The format of the answer came in the blurb under the link
Sure, and that works really well if I just need a quick fact check. I use DDG and use that feature a ton.
But that doesn’t work when more context is needed, like in a comparison. I find myself clicking through and skimming a dozen pages, and with an LLM I end up only needing 3-4 pages after reading its summary to confirm what it said.
AI Code Tools Widely Hallucinate Packages
Sure, which is why I always verify things like that. I ask it to compare popular libraries that accomplish a task, then look for evidence that my preferred option does what I want (issues on the project page) and is actively maintained (recent commits, multiple active contributors, etc). The LLM is just there to narrow the search space and give me things to look for.
To do that with regular search would take a bit longer since I’d need to compare each library to each other to find relevant blogs and whatnot. So even if search worked better, it would still take longer.
Sometimes it breaks down and I go back to my old method, but it’s usually worth a shot.
I use LLMs a lot less than my coworkers, but I do use them periodically when I think it’ll be useful. I’ve been a dev for a long time (10+ years), so I find I usually know where to look already. I discourage our junior devs from relying on it too much and encourage our senior devs to give it a shot.
If it’s literally just copying data, a Pi Zero should be plenty, especially if there are gaps in between (i.e. motion detection). The main concern is if writing to the SD card can keep up, but I’d totally give it a shot first before buying something.
we only need it because Google Search has been rotted out
Not entirely. AI can do a great job pulling data from multiple sources and condensing into an answer. So even if search was still good, instead of hitting several sites and putting together a solution, I can hit one.
reinvent the wheel
That depends on how you use it. I use it to find relevant, existing libraries and provide me w/ examples on how to use it. If anything, it gets me to reinvent the wheel less.
It can certainly be used naively to get exactly what you’re talking about, and that’s what’s going to happen w/ inexperienced users, such as college students. My point is that, like power tools, it can be a great tool in an experience hand, and it can completely ruin the user if they’re inexperienced.
That’s what LLMs largely pull from.
A Hetzner storage box could work, which is about $3-4/mo for 1TB.
But if you really want it local, a cheap SBC w/ a big SD card seems like a good option. It’ll be slow and you’ll need to replace the card periodically, but it will sip power and is incredibly easy to conceal.
I’m sorry, I hope you find some methods that work for you.
Sure, then the article isn’t for you.
Why not go get it then? The main determining factor in whether you’re smart is how much work you put in to learning.
The ecological costs don’t need to be very high. We host our own LLM models at my company on a Mac Mini, which doesn’t use a ton of power and works pretty well.