You should be embarrassed by this.
Comment on [AIT] paperless-ngx 3.0.0
sp0ker@nord.pub 2 days ago
I created an issue to tell the developers they made crap :
cr8urown@lemmy.world 2 days ago
ohshit604@lemmy.halstead.host 2 days ago Guess you won’t be making issues there for a while eh
Alvaro@lemmy.blahaj.zone 2 days ago
Lol, you suck
SomeDudeFromSpace@lemmy.ml 2 days ago
The saddest part is that you clearly generated that message using an LLM. Or are you going to tell me that em-dashes are part of your everyday writing?
Wispy2891@lemmy.world 1 day ago
I have a dedicated button for em dashes on my keyboard /s
curbstickle@anarchist.nexus 1 day ago
… I do, on my custom macro pad.
Foxfire@pawb.social 12 hours ago I just use the combine key, then tap dash a couple times—boom, em dash. On mobile I just hold the dash key, like it’s genuinely pretty easy to insert them.
lambisio@feddit.cl 1 day ago
2026
complaining about em-dashes
You are completely ignorant about where do AIs even get their data from, yes?
_Nemo_@lemmy.ml 2 days ago
I do understand and share people’s hatred of corporate-owned, centralised cloud AI.
I understand (though share to a lesser degree) people’s ethical concerns about how these models were trained (copyright has been broken for a while now, this just exacerbates it).
But this level of outrage about using local models on an opt-in basis strikes me as hysterical.
Feel free to change my mind.
Voroxpete@sh.itjust.works 2 days ago
It reads as especially hysterical in this context, because Paperless is an automatic document categorization system, and I’m really sure what they think the automatic part of that is if it’s not “AI” of some broad description. Paperless, Papermerge et al are basically wrappers for machine learning tools and have been for as long as they’ve existed. LLMs are a natural and obvious fit for the kind of work these applications exist to do.
This just feels like someone reading “Improved AI pathfinding” in the patch notes for a video game and screaming “OH MY GOD IS NOWHERE SAFE?!”
_Nemo_@lemmy.ml 1 day ago
True, although we must concede there is a difference between the simple machine learning already present in paperless and LLMs where, depending on quantization, CPU-based inference doesn’t get you very far.
Voroxpete@sh.itjust.works 16 hours ago
Absolutely there’s a difference. LLMs, when it comes to this specific task, are better. That’s why they’re being used here. It’s a job they are uniquely well suited to. They do indeed come with high hardware requirements, which is why you’re not forced to use them, and why they provide the option to offload the work to a cloud service.
Personally I would absolutely not want to ever feed my documents into an off-device model, but the point of self-hosted software is that it does what you tell it to and they absolutely should include letting you make bad decisions.