Donate it.
Using it just draws more power.
Donate it.
Using it just draws more power.
ZFS and dotfiles are your friend. Sorry for your loss.
Consider using a desktop.
Sure, small is cool, but you'll soon want to add drives for a RAIDZ. Then you'll want a faster CPU with more cores for more containers. Then how about a video card for AI or rendering. Honelabs grow, and you will want space for that growth. Plus, it's probably cheaper.
They be Redditing.
I considered trying to make a mini version of this to auto-contribute to OSM. Street view image shows a compacted dirt road? Submit to OSM. Two lanes with lines? Submit to OSM.
The lightweight claim is a bit of a stretch. You're counting content that gets cached in the browser.
To make this simple:
Lemmy: One user follows a community from another server, content federates from all users commenting and posting. It takes one follow to start that flow.
Mastadon: One user follows another, content federates for that one user. It takes a lot of follows to get significant content movement.
In addotion, it is much more likely that out of 10 servers, the same communities are followed vs the same people.
But, why won't everyone join Mastadon instead?!?
Thank goodness they go to BS.
Yup, it does. I think I still have my server hard coded from when it first launched.
To me, an alternative model would be deep-linking/embedding 3rd party videos that you own.
For instance, sign up at @server, then:
This way your "feed" is federated, but the efficiency of centralized video content is used. If a provider goes down, or you choose to leave, you can re-up to another provider and with the connected account/title matching, your feed could be auto-updated.
I'm not sure I agree with the other OP, I haven't used Kdenlive, but I thought it lacked OpenGL and Decklink support compared to Shotcut. Personally been very happy with Shotcut after using Premier and After Effects previously.
That already exists in Street Complete: https://streetcomplete.app/
I was thinking more about machine learning against images of places to populate data automatically.