It seems that while this update once again contains lots of (unncessary) AI bullshit, it also has some other positive changes, such as :
More End-To-End encrypted functionality
Improved file upload (apparently 6x as fast)
Better performance
Converting documents
Native desktop client UI (hopefully the new appImage does work for Linux, because it does not work right now.
Improved AppAPI for other developers to develop plugins / apps / extensions in different programming languages
Added pronouns to account profile
Right-To-Left text for the Arabic users (and whoever uses RTL instead of LTR)
PGP/MIME support for Nextcloud Mail
Chunked file upload on desktop app
Improved OpenID Connect API
Overall, I am still disappointed by the direction towards AI that Nextcloud has taken, but I suspect that it makes them more money. Also, apparently large organizations / enterprises who pay Nextcloud GmbH for support, are also allowed to influence the roadmap of the software, which probably has something to do with jumping on the AI bandwagon.
However, despite this new direction, Nextcloud still does the job for me: Easy file syncing, with document collaboration, calendar, contacts and basically act as a whole replacement for Microsoft 365 / Google Workspace / whatever with little to no problems.
I agree. (Digital artist here) I hate the Ai hype machine madness but also understand trying to find ways to make it ethical and useful to eliminate tedium. As it should be for in the first place.
In the tech sphere, they likely have to play along to stay relevant since everybody’s all hyped about it.
How’s this local LLM of yours? Does it tend to be more accurate than Recognize? It’s integrated into Nextcloud?
Recognizing objects and people in pictures locally is one of the best uses I think.
…and maybe if it can stop auto-tagging random EDM songs as “country” or “rap” when they sound nothing like, I’d be excited about that!😂
It seems that while this update once again contains lots of (unncessary) AI bullshit, it also has some other positive changes, such as :
Overall, I am still disappointed by the direction towards AI that Nextcloud has taken, but I suspect that it makes them more money. Also, apparently large organizations / enterprises who pay Nextcloud GmbH for support, are also allowed to influence the roadmap of the software, which probably has something to do with jumping on the AI bandwagon.
However, despite this new direction, Nextcloud still does the job for me: Easy file syncing, with document collaboration, calendar, contacts and basically act as a whole replacement for Microsoft 365 / Google Workspace / whatever with little to no problems.
I’ve been using NC since single digit version numbers
The performance increase on v30 is VERY noticeable, especially loading photos.
The AI support doesn’t hurt you if you don’t use it - and they’ve done the right thing by making sure you can do things locally instead of cloud.
Here’s what AI does for me (self-hosted, my own scripts) on NC 9:
When our phones sync photos to Nextcloud a local LLM creates image descriptions on all the photos, as well as creating five tags for each.
It is absolutely awesome.
I agree. (Digital artist here) I hate the Ai hype machine madness but also understand trying to find ways to make it ethical and useful to eliminate tedium. As it should be for in the first place.
In the tech sphere, they likely have to play along to stay relevant since everybody’s all hyped about it.
How’s this local LLM of yours? Does it tend to be more accurate than Recognize? It’s integrated into Nextcloud?
Recognizing objects and people in pictures locally is one of the best uses I think. …and maybe if it can stop auto-tagging random EDM songs as “country” or “rap” when they sound nothing like, I’d be excited about that!😂
@troed: That sounds awesome, and something on my todo list. Do you mind sharing how your upload and tagging AI-scripts work?
Thanks for the summary!
damn, RTL text is no trivial matter, kudos to them for getting that done