Wasn’t it stable like a month ago?
Checking out the road map, nothings changed in a hot second. I think they're just trying to spread the word about it in general
Yes

that makes one of us
What does the $100 server key unlock (besides "supporter status"), since features aren't paywalled?
Nothing. Just helps pay for development.
Oh, so... 100% worth every penny, then. Finally, a software cost with actual benefits.
Edit. It sounds sarcastic, but I'm being serious.
As we're committed not to add paywalls, this purchase will not grant you any additional features in Immich. We rely on users like you to support Immich's ongoing development.
I read that. (I literally mentioned features not being paywalled in the original comment.)
If the key doesn't unlock features, what does it unlock?
Do you get a little thank you message from the devs when you enter it in? Does it add a "Supporter" tag next to your name on the app settings?
The practice exists in both software and games of adding paid cosmetics (e.g. Discord or Deep Rock Galactic) that don't change the core featureset but allow users to pay more to support the developers, so I think it's a valid question.
You get a badge at the bottom left showing you’re a supporter.
Nothing. Just helps pay for development.
Good vibes only
Bragging rights and improved sleeping ability from the knowledge that the devs are being supported.
The serious answer is it's often easier for people in a company to buy a license key than it is for them to arrange a donation to the devs. So this is an easy way to make small donations.
That video was… something…
Anyway I love Immich. It’s definitely been on a stable release for a bit, but I think they’re just trying to get the word out. A lot of people seem to think it’s still in alpha.
Personally, I’ve been running the same Immich server for years now, rolling all the way up to the current release and I’ve never had any data loss. I just had to read the patch notes and adjust my docker compose accordingly a couple times.
It’s well worth paying for that supporter badge, btw. I’ve easily gotten more than $100 value out of it.
It really was!
Still container-dependent?
If you go into self-hosting hating containers, you’re gonna have a bad time.
Containers are the best, so probably
I'm running it bare metal on my NAS.
No problems, plus I don't have to do extra container stuff.
Dude containers are often easier than running the underlying programs.
Not arguing with you, it's just a choice.
The question was whether Immich had to be executed from within a container system... and it doesn't have to.
does immich have an option to automatically delete older, backed-up pics from devices in order to free up space and not worry about running out disk space on smartphone?
I tried to search the docs and it seems it's missing
it's wip, they are iterating it
i think they added it as beta, then reverted, then now is being reworked
The presentation is quite funny, I wonder wha-
AI
Welp. I'm out.
I know we all hate AI, but we're actually angry at generative LLMs. The kind of "AI" that Immich uses is a classifier and is absolutely not the same as ChatGPT.
They should have made this clear in their video.
Their usage is basically just the same old machine learning that's existed for ages, long before the genAI bubble started. They really should avoid the buzzword for accuracy's sake but it's far removed from all the LLM generative dogshit.
This is an excellent clarification, thanks.
Fuck LLMs, though.
That was my understanding, that Immich and PaperlessNGX run AI locally on your machine. That's why the server PC sounds like a fighter jet ready to take off for hours on end when a large library is first added.
I know we all hate AI
Not everybody.
(Read the room, dude!)
Not trying to be confrontational in the least. but I am fully aware and autonomous. I thought you guys weren't down with group think?
The AI is just image and object recognition and tagging. It’s very powerful (even runs on CPU in docker) and useful. No LLMs here.
It's classification AI not generative AI. Basically smart tagging. And it's optional. Super helpful though and runs locally on your machine.
It is actually really useful
You can search mountains and have mountains show up
Didn’t work for me. I don’t have any pictures of mountains, though.
You should get some, they are rad
Lol then try to search for something you have
What if I don't have anything?
In that case, search nothing and everything you have will come up.
Okay, you're missing out on one of the best new self hosted services because of a knee jerk reaction in that case.
Futo's CEO being a alt right piece of shit is a better reason.
To my knowledge the Immich devs arent, but yeah.
Futo’s CEO being a alt right piece of shit is a better reason.
I didn't down vote ya but, I am quite certain that if we knew all the little idiosyncrasies, personal core values, or private lives of both open source and closed source software devs, teams, sponsors, equipment manufacturers, components, et al, we'd probably never turn on our computers. I mean, I get it, you are free to make choices. I wouldn't have it any other way. However, until the dev teams start writing that into their software, I'm ok with them being an alt right piece of shit. It's kind of like, I enjoy Ted Nugent's music. It comes up in my playlist every so often. I can't stand his political stance, but I am able to separate the two without condoning his political core beliefs. Gosh, if I were to listen to only those artists that align with my core beliefs, it'd be a mighty slim playlist. ymmv
Is there any other info on this besides drew devault's blog post?
It has links in it. I'd recommend starting with them.
Here is grapheneOS talking about how Futo fucked them over, from the article as an example:
Immich's use of AI is arguably one of the most suitable cases for the technology and it runs entirely on your own device. I get the hate for AI but this ain't it
Look I hate AI as much as the next guy and I have it enabled in my Immich instance. It's been really handy.
People need to learn the different between (AI) LLM and the AI workhorses known as Machine Learning that have been doing the real heavy lifting for decades.
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