Are you me? Cause I have exactly the same setup. Navidrome, tailscale, the whole thing. I also use strawberry. It’s OK but a bit basic. I recently tried Nocturne for desktop, looks promising, but still somewhat buggy.

Hahah :(

Why is everywhere you look all of the leadership doubling down on idiocy? All of the western world, not just usa.

IMO, qwen3.6 a3b is smarter seeming but gets stuck way too often, Gemma 4 is stupider, but doesn’t get stuck almost at all. I’m trying to find middle ground, but so far - no luck.

I do, but I am becoming increasingly more disappointed as time goes on. Not just self hosted, llms in general. They sometimes help, but they mislead so many times and waste time that you don’t even notice. I think that’s the trap. When you succeed at a task, you become impressed but don’t notice how many times it failed doing a simple task. And as soon as you scratch the surface, you see how you would have done it differently and perhaps in a better way. Even just googling is bad. It does research for you, but it has no critical thinking and can’t decide what is better from the results it gets (other than google ranking) so it often leads you to think it did as good as you would, when it’s nowhere near as good. Every time I did the googling myself after it did, I did it much better. And I mean MUCH better. Ask it to find the app, it misses the most important ones, hallucinates a bunch, for ex. I found this to be the case with frontier models as well.

Self hosting has its benefits, but seeing how the ecosystem looks right now, concluding this is a huge bubble is inevitable. It reminds me of crypto so much. It looks rich and plentiful, but as soon as you dig a mm under the surface - nobody has tested it, it’s got a critical bug, it is overblown and there are issues with no response. No docs, no info, no nothing. For the biggest thing in technology in history, it is awfully hollow. I don’t mean it in a condescending way, in fact community is enthusiastic and very helpful, it’s just that it doesn’t live up to what most would expect.

A caveat I need to mention is I have not used it for coding - I have an irrational fear and resistance towards it, being a programmer. I just won’t touch it, even if it means the end of my career. I’m trying to be grown-up about it, but so far, I dont want to use it, for good and bad reasons.

I have a model with 64GB of ram. I’ve limited context to 16k, in an effort to make it more stable, but tbh - it is rather unreliable no matter what I do. With my setup - mlx_lm and webui, it frequently collapses or loops, no matter the settings. I have done a lot of debugging and have concluded it is probably inherent model behavior.

Are you running an mlx model? If not, try that. My m4 macbook runs qwen3.6-35b-a3b lightning fast. Has its issues, but fast nonetheless.