I just tried this on an Ultra.cc seedbox with yt-dlp installed, and the Fintube plugin configured to the right path for that, yet when I go to Dashboard > Fintube and click the Submit button to add a video to the download, nothing happens. Can’t figure out what’s wrong.

Maybe Jellyfin doesn’t have the necessary write permissions to write the file to that folder, but I’m not quite sure how to change those on such a seedbox, if that’s the case.

Any experience with this to share? Would the Submit button usually lead to a different view, or does it just stay on that video submission screen while the download happens silently in the background? The lack of action I experience when clicking it feels a bit awkward…

It seems it has a single widget, “status widget”.

Thanks for your response. Much appreciated. Do I understand it correctly that I’ll be able to add more drives later in JBOD mode, but I’ll simply have to power it off before adding or swapping drives?

I’m in the same situation as you, more or less… I have three new 22TB drives that need an enclosure, preferably for JBOD (no hardware RAID needed) but I can’t figure out which ones are actually good products… I don’t mind using a random-brand product if it’s actually solid.

I find it very difficult to figure out which ones will support my 22TB drives. And for some of them, it seems, it’s impossible to add new drives to empty slots later (because of hardware RAID, I guess?), which has made me hesitant in buying one with more slots than I have drives, in case they can’t be utilized later on anyway…

I was looking at the QNAP TR-004 which was mentioned by someone else somewhere on Lemmy some months ago, but IIRC it would be impossible to use the fourth slot later if the drive isn’t included in the hardware RAID configuration…

EDIT: I have also been looking into so-called “backplanes” as an alternative, since they seem to do the job and are cheaper, but I’m unsure if I’ll need a PC chassis/case/tower for that to actually work?

If you find something good (products or relevant info), feel free to share it with me.

I think that’s just their code…

Kodi/LibreELEC + JellyCon add-on works great!

Millennium Editions ruin everything!! 🤬

When looking up my static ip, the location I get is the one of my ISP, not my address. Do you happen to live nearby some central infrastructure of your ISP? (If it seems otherwise, I’m not trying to debunk what you said - I’m just asking curious questions!)

A bit less simple, but for a great solution, you could host a jellyfin server and give each friend their own user account in order to then use the syncplay feature.

deleted by creator

Got any recommendations for a good DAS with a fair price, either new or used?

I’m looking for something to place three 22 TB drives in, eventually to be expanded in the future, so I’m looking for a DAS with at least three 3.5" bays.

From wikipedia:

Monsters Ate My Condo was an iOS tile-matching video game developed by PikPok and released on September 15, 2011 by Adult Swim Games for $0.99. A sequel, Super Monsters Ate My Condo, was released in 2012.

Note: I did not test/check/scan any of the files I’m pointing to!

Found these APKs for SMAMC to sideload on Android: apkcombo / apkmonk

And this modded SMAMC APK (unlimited money): happymod

Also this IPA for (older?) iPhones: archive.org

Bonus: MAMC APK: apkcombo

Bonus: MAMC modded APK: happymod

Yeah, it’s somehow comparable to a scenario where they had the power to decide you can’t use uber/taxi, or postal services, because you used it to transport the HDD you’re using for your private collection of copyright-protected media.

-Linux Mint: […] not the best […] if you have multiple monitors with different resolutions and refresh rates.

I’m thinking of installing Mint (Debian Edition) on a 2013 MacBook Pro with an even older external monitor connected through DisplayPort, while using the internal Retina as the secondary monitor.

Do you think it’d be a safer bet to go with a different distro with better multi-monitor compatibilities, or do you think I’ll be good using this hardware+software combo?

Any related advice will be appreciated!

I’m not the guy, and this is not really an information source, but Android seems to agree that higher resolution and higher refresh rate uses more power, which seems intuitive to me as well.

(Settings > Display > Screen resolution)

(Settings > Display)

It refers to some old forum signature iirc. I saw an explanation of it in some other Lemmy thread some time ago, though I don’t exactly remember where or when.

Yes, I think that’s the way to go. If the paperless-ngx team doesn’t believe in following that path, someone else will probably fork the project and do it, or build something with similar capabilities “from scratch”. Then, it’ll be interesting to see what’s coming forth of open-source models with capabilites similar to GPT-4Vision… . . . . 🤯

a “tl,dr” bot would probably not even need high end hardware, because it does not matter if it takes ten minutes for a summary.

True, that’s a good take. Tl;dr for the masses! Do you think an internal or external tl;dr bot would be embraced by the Paperless community?

It could either process the (entire or selected) collection, adding the new tl;dr entries to the files “behind the scenes”, just based on some general settings/prompt to optimize for the desired output – or it could do the work on-demand on a per-document basis, either based on the general settings or custom settings, though this could be a flow-breaking bottleneck in situations where the hardware isn’t powerful enough to keep up with you. However, that only seems like a temporary problem to me, since hardware, LLMs etc. will keep advancing and getting more powerful/efficient/cheap/noice.

a chat bot do not belong into paperless

Right – but, opposingly to that, Paperless definitely do belong into some chatbots!

I’m not interest in sending my documents to open AI.

You wouldn’t have to. There are plenty of well-performing open-source models that work with an API similar to the Open AI standard, with which you can simply substitute OpenAI models by using a different URL and API-key.

You can run these models in the cloud, either selfhosted or “as a service”.

Or you can run them locally on high-end consumer-grade hardware, some even on smartphones, and the models are only getting smaller and more performant with very frequent advancements regarding training, tuning and prompting. Some of these open-source models are already claiming to be outperforming GPT-4 in some regards, so this solution seems viable too.

Hell, you can even build and automate your own specialized agents in collaborating “crews” using frameworks, and so much more…

Though, I’m unsure if the LLM functionality should be integrated into Paperless, or rather implemented by calling the Paperless API from the LLM agent. I see how both ways could fit some specific uses.

(with scan to SMB)

So the scanner saves the file in SMB-share(s), then Paperless(-xng) will automatically process it?

Maybe Paperless, with an LLM API integration to chat with the documents, using the power of referring to and verifying against Paperless’ concrete results, would be somehow useful.

Edit: Oh, this is already being discussed on their GitHub. Of course it is!