Like a fridge or kitchen appliance that rejects foods from your local store, your neighbours’ or your own produce… Pretty useless.

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…

Now, that’s a great list with a lot of my preferred software on it – almost as had I written it myself! Good work. Keep it up.

Ok. The fact that you prefer it (probably because the thieve is mostly kind and generous to you) does not change the reality that it very much is theft from all those who might not agree with your societal preferences, and who did never consent to this.

Since you (or any majority in society) naturally don’t have the right to forcefully take other people’s money (or property) without their consent, it’s impossible to forward that right to the state (or any person) acting on your behalf. It does not matter how good of a deal it is to you or anyone else. That’s why it can logically be described as theft when a state collects taxes using violent force as a threat to anyone who won’t pay.

You have the option to spoof/fake/mock it manually with an app. This one, it seems, even has some available add-ons for mocking UnifiedNlp data and more…)

Mock my GPS (mock the GPS and Network location providers) https://f-droid.org/packages/com.github.warren_bank.mock_location/

Mock my GPS UnifiedNlp Backend (mock the GPS and Network location providers) https://f-droid.org/packages/com.github.warren_bank.mock_location.service.microg_nlp_backend/

Mock Silently (mock the GPS and Network location providers) https://f-droid.org/packages/com.github.warren_bank.mock_location.silently/

Possibly you’ll have to enable dev options and set the location spoofing app in there. At least, I remember seeing the option in there, but that was years ago.

Vierenveertig vliegjen en een goudvis in de pinderkaas op de lul in een konijntjenaaimachine!

Just curious – which app is that? Seemingly not Eternity, as I’m using that, and you do not appear purple in here, but I’m always interested in exploring alternatives to the apps I’m using.

I like my internet like i like my coffee.

Filtered – yet full of unnecessary cookies and shit…

Or they received a USB cable, which they later used to transfer pirated files, in an envelope… Remove their mailbox! (Or force every postal service person to ignore it…)

Could very well be an eSIM …

“Es ist aber smarter mit so einem Indikator!”

There once was a man who went mad

When YouTube kept forcing an ad

They kept crossing his border,

So he bought this camcorder

Now he’s looping his own tape of a cat.

Manjarno, manjarno

— as they say in Spain …

And even in some prototype bus, the Gyrobus, in the 50’s that used an electrically charged flywheel that was also (to some degree) regeneratively recharged when breaking:

Rather than carrying an internal combustion engine or batteries, or connecting to overhead powerlines, a gyrobus carries a large flywheel that is spun at up to 3,000 RPM by a “squirrel cage” motor.[1] Power for charging the flywheel was sourced by means of three booms mounted on the vehicle’s roof, which contacted charging points located as required or where appropriate (at passenger stops en route, or at terminals, for instance). To obtain tractive power, capacitors would excite the flywheel’s charging motor so that it became a generator, in this way transforming the energy stored in the flywheel back into electricity. Vehicle braking was electric, and some of the energy was recycled back into the flywheel, thereby extending its range.

Source: Wikipedia: Gyrobus

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

I’m not sure how to read the Plexus entries, and they don’t seem to be clickable. Would you mind explaining how to use the site in a meaningful way?

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.

Altering the prompt will certainly give a different output, though. Ok, maybe “think about this problem for a moment” is a weird prompt; I see how it actually doesn’t make much sense.

However, including something along the lines of “think through the problem step-by-step” in the prompt really makes a difference, in my experience. The LLM will then, to a higher degree, include sections of “reasoning”, thereby arriving at an output that’s more correct or of higher quality.

This, to me, seems like a simple precursor to the way a model like the new o1 from OpenAI (partly) works; It “thinks” about the prompt behind the scenes, presenting only the resulting output and a hidden (by default) generated summary of the secret raw “thinking” to the user.

Of course, it’s unnecessary - maybe even stupid - to include nonsense or smalltalk in LLM prompts (unless it has proven to actually enhance the output you want), but since (some) LLMs happen to be lazy by design, telling them what to do (like reasoning) can definitely make a great difference.

No, that would make it too easy to do third-party screen repairs. Apple wouldn’t allow that…