I don’t think you’re overexaggerating the potential backlash at all; especially on Lemmy.

I don’t either, like you said, ‘especially on Lemmy.’ The thing is, AI assisted anything is unavoidable. Even in the case of longstanding, well established projects, we’re seeing AI being involved to some extent or the other. Like you, I’ve used AI to create a small handful of things for my server. One would be when I log in via SSH, there is a banner that pulls a random song from Navidrome’s playlists and displays it on the MOTD. For instance, today’s is:

🎵 SONG OF THE DAY

Blues Garage by Marco Tansini

I did make my code available here with the stipulation that it works on my machine, buyer beware, as it were. But I’d never purport to maintain it even tho I released it. For one, I don’t have the patience to wade through mounds of criticism, and requests for other options. That patience left me decades ago.

instead they’d rather sit on the internet and criticize other people’s methods of coping with overload.

Preach it! Dev toils away at creating an app. Dev releases it to the public for free with no obligations whatsoever, to even consider it. Dev gets hammered for a variety of things including AI. Go make your own app and release it to the public and see how that goes. It’s a mote/beam kind of thing.

I think vibe coded projects need at least 6 months to a year of history before they replace anything critical in my stack.

Reasonable. I do the same with updates. I wait for all the early adopters work out all the bugs, and when I feel comfortable, I update.

OOoops! Sorry about that. Yeah, Feishin is an awesome player and has no issues with huge playlists. In the UI, it nopes out. That’s my only real complaint.

Again, I do not run Jellyfin, but what you’re saying seems contradictory to what the devs are implying: here and here. Since I lack the hands on experience, I will leave the issue with the experts.

but what I tend to see is one or two people here saying that Jellyfin devs don’t recommend exposing it publicly

I think what the devs are saying is ‘don’t expose Jellyfin to the public in an unsafe manner’. I don’t run Jellyfin, but can confirm what you’ve read here. In that vein, don’t expose anything to the public in an unsafe manner.

Question: Is there a hard limit for playlists? Reason being, I have a rather large collection I have converted from the physical media to flac. I have a playlist that is edging 100k songs. When I try to play it in the Navidrome UI, it takes at least 5+ minutes to even begin to play, and then forwarding to another song is neigh impossible. I can play other playlists smaller than that in the UI. Feishin, which is indirectly routed through Cloudflare, and not taping the local IP of the server, has no issues playing the playlist in question. Substreamer, iOS, has no problem either.

Specs:

Optiplex 7020 i7-49790 32 GB RAM

…which seems like it would be sufficient.

I recommend Navidrome for music. The only issue I have with Navidrome is that with a playlist that contains a large collection of music, bogs down to the point of being inoperable. So, I have to split the playlist into smaller chunks.

I did try the video, however Firefox reported that the video was slowing down everything.

That’s pretty wild man! I don’t think I’ve ever seen this type of app in selfhosting.

Welcome to the club. That’s quite an impressive set up you have there. It would seem you have replicated the entire awesome-selfhosted list. LOL At any rate, welcome.

Onward and upward bro. Good to see you again.

Shit I deleted my post. Yes I have been enjoying some greenery so you just have to hear me out. I have an old countertop ice maker that stripped it’s gears. The refrigeration loop is fine. Pretty wild how small it is. I was wondering…what if I provisioned some brackets on which to mount a muffin fan of unknown CFM, to blow across the coils thru several sheets of mesh of varying gauges to collect moisture drained off to an unknown location, and duct that indirectly into the computer, like a miniature Liebert server room cooling unit. I worry about the moisture tho. Constructing a desiccant wheel seems improbable. I could reheat the cool air upstream or mix warmer air in with the stream to so the outlet air doesn’t stay at a very low dew point and “rewet” downstream components. Perhaps with a small filament heat coil. HMMmmmmm

deleted by creator

Shit I deleted my post. Yes I have been enjoying some greenery so you just have to hear me out. I have an old countertop ice maker that stripped it’s gears. The refrigeration loop is fine. Pretty wild how small it is. I was wondering…what if I provisioned some brackets on which to mount a muffin fan of unknown CFM, to blow across the coils thru several sheets of mesh of varying gauges to collect moisture drained off to an unknown location, and duct that indirectly into the computer, like a miniature Liebert server room cooling unit. I worry about the moisture tho. Constructing a desiccant wheel seems improbable. I could reheat the cool air upstream or mix warmer air in with the stream to keep the so the outlet air doesn’t stay at a very low dew point and “rewet” downstream components. Perhaps with a small filament heat coil. HMMmmmmm

Sweet.

I pay around $8/month USD. Now, there are factors involved. One, electricity in my locale is relatively cheap. In addition, I have solar. To contrast the Optiplex 7020 SFF, I used run the same containers/content on a Dell T320. It cost $40/month USD. which still isn’t an outrageous expenditure for someone with another type of hobby. Some of my other hobbies, like creating music, those prices climb steeply, rapidly. Last count I have 48 guitars, several banjos, 8 bass, an oud, mandolin, 4 full size Korg synth keyboards. three violins, and amps out the yang. So $40/month was peanuts, but I wanted something that wasn’t such a hog. Plus the heat dissipated by the T320 was significant, and that is passed on to your AC bill as well. The 7020 is much quieter, energy efficient, and produces very little heat. Win, win.

Hybrid (CPU + GPU) inference is where it’s at these days. It opens up a whole world of huge MoE models, whereas on an 5090 you are stuck with Qwen 27B.

Why you do this to me? LOL Injecting your options. But seriously thank you for the advice. I’m really green in the AI arena. So I’m trying to feel my way around, trying not to spend money on equipment I’ll regret later.

Be aware that you pay a significant performance penalty for going over occulink.

And that’s why it’s tentative. The reason I’m leaning towards the dock is that, while the 5090 will fit, physically in the case, I am worried about heat dissipation. Even now, when I fire up a moderate model and run it through some paces, I can see the temps rising fairly quickly. So, if I’m going to drop that kind of cabbage on a 5090, the one thing I don’t want to do is watch it turn into a shrink-i-dink.

LOL Not quite, however, I am choking on the 5090 but as I understand, that’s the better option, and 32 GB seems to be the sweetspot for AI. I actually picked up the tower and original RAM for less than $500 USD.

Deepseek V4 flash

What are the advantages of Deepseek V4 flash?