u/Old_Rock_9457

Hi all,
The question is related to Sonic Analysis and its simple: which functionality, related to sonic analysis, you would like to have?

I mean, sonic analysis itself can be seen as analyze the raw song and help to find other song based on this analysis instead of using metadata that could be less precise and some time not correct or complete.

But the point is, on top of this sonic analysis, which kind of functionality you miss more and would you like to see develop?

Thanks you!

Buongiorno a tutti,
In casa mia il climatizzatore (1 split, un motore, Mitsubishi) è stato installato dal proprietario precedente nel 2016.

Lo uso per rinfrescare un piccolo soggiorno ma negli ultimi anni fa molto fatica perché è esposto al sole battente da due lati. Non ho idea se abbia bisogno di manutenzione, se va proprio cambiato o cosa, però essendo vecchio propenderei per il cambiarlo e tagliare la testa al toro. Diciamo che l’aria non esce più fredda come mi aspetterei ma più che altro tiepida.

Secondo voi tra quali marchi , modelli e caratteristiche tecniche dovrei guardare per avere qualcosa di buono ma non “di lusso”? Insomma qualcosa che rinfreschi bene ma che non mi costi un rene ? Lo vorrei definire “un fascia medio-alta”?

Quali potrebbero essere I costi tra condizionatore con motore, installazione e smaltimento del vecchio lungo circa ?

Come potenza dovrei controllare com’è il vecchio, credo che sia un 9000btu, ma se lavorasse meglio e la differenza di costo non è eccessiva anche un 1200btu. Sarebbe nel soggiorno e chiudo tutte le altre porte quando è in funzione, eventualmente se avesse un po di potenza in più non mi dispiacerebbe rinfrescare anche le stanze accanto ma è più un nice to have.

Hi all,
I just installed wg-easy on top of k3s on a vm in cloud, this because my homelab don’t have public ip.
Anyway the problem is that from my iOS smartphone I can load the web page that I need (jellyfin) by cellular connection or home WiFi. When I go on desktop, windows or macOS, it disnt load. I can ping but curl or browser didn’t load it. They instead load the wg-easy webpage without issue.

AI suggest MTU, so I lower it from 1400, the default, to 1280 but the problem is still there. I’m becoming crazy. Is real the mtu the problem ? I’m missing something else ?

Hi all,

I'm curios to know, from who have a music server (Navidrome, Jellyfin or any other), how do you reach it from out of your home.

I started by don't expose it at all and listening music only at home. Then I convinced my wife to use it that listen a lot of music during travel commuted and I had to expose it in some way.

Taliscale free tier was my first implmenetation and I used for different months. The issue was that sometimes it was not so much reactive causing the frontend to just stop working and need a "close and reopen". Off course this meanwhile you drive is not the best.

Yesterday I setup Wireguard easy to give it a try. Still not tested out of home hope it will solve my issue.

Meanwhile I'm curios to know if you had similar problem and how you solved. I would like to avoid to expose Jellyfin diretly on internet.

Edit: just made some download smoke test with and without wireguard and actually seems that the actual cap is my internet connection and not wireguard. In my test the upload bandwith is around 4-5 Mbps that for high quality is too slow, so I activated transcoding to 320 kbps AAC.
Nexts days I'll do some real test cases to look how it go (Now I'm testing iphone on my wifi -> vpn server on internet -> back to ubuntu yo my wifi, and it seems streaming go).

I use AI and I have my own open source project developed with the help of it, so I like AI, but I still think that AI make some (highlight on not all) people lazy.

I don't think that lazy is the correct word, but I'm not native english speaker so pass me the terms.

There is out of there very expert engineer (what I'am not) that just dislike using it. For my personal point of view some of them (highlight on not all) are lazy. They contrast a new technology that, if used correctly (highlight on if used correctly) could help by doing useful task.

Then, still out of there, there less expert people, they can surpass the initial wall of technology by getting help of the AI and take their idea become concreate. But some of them (highlight on not all) are lazy, get the easy part of developing code and they don't add on top the good idea and maybe a minimum of checking of what the AI put out.

So for me the result is that lazy people discourage AI, do a bad use of AI, and then the final result is that we are here talking about bad use of AI instead of good AI use. And don't get me wrong: there is a lot of bad use of AI, for this reason people are tired.

This is only my personal feeling, because I read here multiple post of people against AI. Then be a maintainer myself in the last year I had the "big opportunity" of have PR totally written by AI.
In some PR people said me "oh yes, I didn't test it because I don't have the chance to run it", like WHAAAT?
In some other people when asking explanetion on why we need this PR they 100% let the AI reply to me, where the AI basically explained that wasn't useful.

In the beginning of my project, when I got some PR I was super enthusiast because someone was finding my project interesting. Someone was dedicating his time to it.
Now, after one year, when I get a PR I'm worried. I'm worried that is another PR that even don't compile or if compile get error. I'm worried that the time to understand the pr and test it, in some cases (highlight on some) is higher than develop it myself. I'm worried that that other 5000+ line change PR clicking two button on other page, just crash the entire app.

But my worries is not about AI, is about lazy people.

I would like to write that I'm optimistic, but I'm not. But I keep reviewing PR, issue, and other things because I still feel that the power of open source is relay on community. And everyone of us, even lazy people, are part of this community. I feel that that one PR, after 10 no sense PR, will make my day.

To make this thread more constructive I want to add some example of how AI helped me, something more than just wrote the code:

- debug: I the initial part of my project, it helped my a lot on a problem that was depending by architecture. Basically my software, when I updated some dependencies, introduced the hard requirement of have AVX2 on intel cpu, and in the selfhosting community multiple users had old HW and start having the application crashing. It help me in detecting this error very fast. In the last day it also help me in configuring a VM that emulate the absence of AVX2 in order to also test myself.

- brainstorming: I discuss new approch, even university research, to check applicability on my project. With the help of the AI I was able to start from a research that distill a ML model for general Audio, and do my distillation on Music. I started from it and it didn't perform well on Music. Then I search, I read, I gave as input to the AI 10-20-30 other university research. I found research on computer vision that was partially applicable to music, because music are read from computer as spectogram that by the and are image. And after months of research, test, research, I develop my own model.

- documentation: a lot of time you have API, library and so on with low documentation. Sometimes the only documentation is the code itself. Having the Ai able to do an MVP showing an example of how that library work, or how call that library, for me is very usefull.

This are just same example, I would really like also to read yours.

What about you?