I’ve finally swapped over my main personal (gaming) PC 6+ months ago. Should’ve probably done that a lot sooner, but lazy. I knew I wouldn’t upgrade my Win 10 to 11, and didn’t wanna wait until the last minute, but have fallback options and time to distro hop if needed.

I’m not new to Linux at all, as most servers I’m running (personally or in my job) are Linux based. Debian, usually, cause servers. But I haven’t used a Linux desktop in well over 20 years.

My choice fell on CachyOS, as I wanted something pre-configured for performance/gaming/wine, but kinda dislike fedora (rules out Bazzite, Nobara, and actual fedora). Also in the running was PikaOS, but I tried CachyOS first and stuck with it. I had no experience with Arch, but what a brilliant base that turns out to be for me. Love the rolling up-to-date-ness and AUR accessibility. I’m used to having to contort myself to get a more current version of software, possibly compiling from source and screwing with dependencies, but everything is literally just there and up to date. Critically, all games basically just worked. Everything just worked. EXcept all mail programs suck to an unexpected degree, but that is literally my only complaint.

I do use the EoL of win 10 as an opportunity to get people to move over or at least try it out. Depending on their use case, I usually still recommend Mint for non-technical people, mostly because searching for help from a Windows convertee likely finds appropriate solutions. The more technical ones get personalized recommendations, depending on context. For example I do have a colleague who spends half his day complaining about anything Microsoft, but still uses Windows at home, but that is mostly because of a single piece of software (and so far I haven’t been able to get that to run, but haven’t tried very hard yet either).

Not really possible, because how a desktop feels or what can be configured it’s hard to show on a website. Especially how you can visually adapt it. And what you can configure in general. Running it from a live USB takes like 5 minutes.

For example KDE is also very close to Windows, but can also be configured to behave more like a Mac. Visually most desktop environment can be themed. Cinnamon just got additions to be able to theme gnome apps globally I think? If you want to use a central dock like a Mac and have running apps at the top, that’s just a master of setting that up on KDE.

Mine are of course also on a VLan but with no Internet access unless they need it for everyday operation (like a radio, or the amplifier that can play Spotify).

We don’t use the manufacturer apps at all. Everything is integrated into (fully local) home assistant. No need to open a specific app to operate a switch, or a light. Everything in one place. Trivial and incredibly clear. Things that can be are of course automated.

Just because it’s a “smart” service doesn’t mean it has to connect to the Internet or a server or the manufacturer. If it does neither, it can’t be turned off by them.

All my devices run local-only protocols. Nothing leaves my house. The devices that would be proprietary were reflashed to tasmota (fully open source, local only). Others are either Zigbee or Shelly. While Shelly has a cloud connection, it’s fully optional and disabled by default (including automatic updates). The hardware is also supported by tasmota, and reflashing is always just 5 minutes of effort away.

There is absolutely nothing that any manufacturer has to do to keep my stuff working. I have to do a little something (keep my tiny server on, basically). But more importantly there is nothing any manufacturer can do to stop my stuff from working.

While it’s fantastic software, it’s probably a relative cannon to shoot at his problem. Maybe there’s a way around this, but I’ve found the necessary management, curation and bookkeeping that was necessary for it too be useful to be just way too much to be worth it. I mean it’s fun for some, including me to a degree, but not too this extent.

UnRaid doesn’t provide anything I am interested in, at all. Currently running TrueNAS for main storage and proxmox for virtualization, both ZFS based. If TrueNAS ever enshittifies, I’d run some bare metal Linux with ZFS. My workstations also run ZFS as the file system, making backups trivial. VM snapshots and backups of any system are trivial and take seconds (including network transfers).

I never understood why I’d even consider UnRaid for anything.

I’ve been using TrackerControl, using basically the same idea and concept, and been very happy with it. Having app-level control over what gets blocked is very convenient.

The only downside to this approach is that you can’t use a real VPN anymore, as android only allows one at a time.

Brodie uploaded a video yesterday that should answer that question for you.

Of course I have. Specifically RadioParadise(.com) is great for this, which I’ve listened to through winamp’s shoutcast as well (multiple decades ago). I’ve even been a supporter for all those decades at this point. But it’s a very far cry away from the personalized (discovery) playlists. The efficiency diffference for discovering music is orders of magnitude: I find maybe 1-3 songs a month compared to 5+ in a week for discovery playlists (somtimes less, usually more). You can even skip songs you don’t like on there, but that still doesn’t make up for it being universal and not personalized.

It’s nice as a palate cleanser, or when I don’t wanna put effort into selecting what to play. But I’d lose my mind listening to it for truly extended periods of time. The music is great, and the (human) selection is superb, but just by the nature of personal taste, I only like around 30% of the music I’d say.

I also get that, that’s why I up-voted every reply from you. I actually love seeing such completely different perceptions of the same situation. And I also just want to explain my reasoning and how I got there. Which is why my replies tend to be so long.

I’m aware it has no concept of artistic quality. But I also don’t care about the quality of music, especially if perceived by some journalist. I only care if I like music. Some of it is intricately composed, masterfully performed. Some is pop, or generic/simple house.

I have discovered entire genres with the algorithms you seem to think only give narrowing recommendations. Some people probably listened to those and something I liked.

Let me repeat again: I have discovered many, many artists for me that I literally would have no realistic chance of every hearing about in any other way. Ever!

As I said in my other reply, different people like different things. I don’t want an adventure. I want the passive experience. I do other things while listening to music (work, read, tinker, …). I almost always have some music playing, but rarely do I just listen to music (it does happen though). I’ll pick styles depending on mood or task, it’s like the rails that keep me on track while working (as an example). If I’m not listening to music, I lose focus.

I simply can’t do that with an article or other medium that requires my primary attention. I don’t feel a sense of fulfillment either, but increasingly annoyed that reading this thing about music is taking more and more time. Believe me when I tell you, it’s not for me.

It’s the opposite for me. I don’t want to read about music. I just want to listen to music that I don’t know yet but am likely to like. I don’t want to dig around for it. The algorithms you dislike do something that no article or podcast can: give me personally tailored recommendations. She not in an abstract way but just as a playlist.

I was addressing this part of what you said

Ah ok that part wasn’t clear to me, sorry (maybe quote it if you’re reffering to a small part of a comment?). Yes, it would work for that, but I don’t have that collection. I could sail the high seas, but that kinda defeats the purpose of wanting artists to get paid and rather hypocritical. At least they do get paid (even if poorly) using Spotify. So somehow getting to the point where that would work for discovering new-to-me music and that also doesn’t screw over artists seems hard, unless I’m missing something?

EDIT: also, fwiw, I didn’t downvote you lol.

No worries, I don’t pay attention to votes anyway. Doesn’t matter on Lemmy (esp. on comments) unless you’re talking about visibility, which doesn’t do anything on a comment chain like this one either…

First of all, after recent events I’m not touching anything from “Plex” with a proverbial 10 foot pole.

But even that aside, no it won’t do what I want because it can’t. I can’t discover something outside of my library with it. It’s a music player for a Plex library. It can generate playlists of songs with similar styles, and that’s nice and all, but not what I’m looking for. I’m looking for playlists of things I don’t own, or know, or ever heard of, but that are still likely to be something I like. I don’t want a sophisticated “shuffle”.

See my other reply to tofu. Not the same thing. You just couldn’t do what these services do even 2 decades ago. You could discover things, but at a very different pace and very different reach. You’re limited to discover what friends know from them. Discovering things via “press” isn’t free either, it takes time to read the articles, buy the magazines (do they still exists?) and you’re likely to only hear about popular things. You also need to find publications that suit your own taste, or learn which authors are compatible with it.

As for concerts you can only go to those that are near you, which is either local artists or those big enough to tour away from their home base. There are artists that don’t tour at all (probably a third of my catalog falls into this category).

Friends don’t work for me. I don’t know a single person who listens to even close to the things that I like. Sure there’s some overlap occasionally, and I might hear about one artist once a week or month. I get dozens to hundreds recommended by spotify weekly, and I actually end up liking a handful of those. With friends, it also only works with known artists, and it’s incredibly rare to get reommended something that isn’t well known but happens to fit my taste by them (don’t think that ever happened, actually). As an example just last week I got recommended an artist that has 60-something monthly listeners on Spotify (now 74!). I liked them so much I tried to see what I can find, and they got a youtube channel with 3 (live) videos and like 500-ish views each (38 subscribers). NOBODY is ever gonna recommend me those kinds of things, cause nobody ever heard of them, let alone anyone of my friends (and even if they have, they’d have to know to recommend them to me).

As for the listenbrainz/last.fm that is kind of a solution, but it takes a very long time to train up your profile to actually be useful. I haven’t used it in a VERY long time (decades), but last I did it was kinda “meh”. You can also only start out with what you have, as you’re scrobbling what you’re listenting to. I no longer have most of the music I listen to daily as an actual file/library. So getting that up to date would probably cost thousands of dollars, too. Not to mention it being incredibly tedious to actually gather them on various individual shops and sites like bandcamp or wherever those artists happen to be.

So as much as I wish there was, there isn’t really a (pracical) alternative. Let alone one of the same “competence”.

Yes it’s using “an AI”. But that doesn’t mean anything. You can’t just use any AI and have the same result. Just cause AI got a global hype doesn’t mean this is new either. Neural networks have existed for many decades, which is likely what they’re using. The hard part is to get the training data. That is where the value (or usefulnes) comes from. And that source is all their users, listening to all the music, importantly including newly released music, all the time. It’s the basic idea of “people who liked X also liked Y”. What songs people combine together in a playlist. That sort of thing.

We don’t have that data to train “an AI” so we have a local version of this. They have it for millions of users. That’s why their AI is incredibly good at this task. Sure, they also let labels pay them to rank things higher so they get more listens, and that is anything but transparent when and how that happens. But over all, you can’t just magically do what they are doing locally.

Having your own collection is great. But it doesn’t provide the service Spotify does (or any streaming service). 80% of the time I listen to discovery-type generated playlists. I want to find new music. This is fundamentally impossible with the music I own. This is something you can’t self host. Even if you have a vast collection of music you don’t know (by whatever means your get it), you still need the algorithms to pick the music that you’re likely to like.

I really wish I could. I self host basically everything else. Even tried some local music similarity training for “smart playlists”. It’s kinda neat at best, but no where remotely close to the music discovery of Spotify and other online services. You need the massive amounts of users to derive that data.

There’s an entry missing in your list, which many people seem to not know about: Siemens Solid Edge

Like fusion, is free for personal/hobby use. But it’s not “cloud based”. Also unlike fusion, they aren’t constantly scaling back what you can do with the free edition. Probably worth a shot.