I waddled onto the beach and stole found a computer to use.
🍁⚕️ 💽
Note: I’m moderating a handful of communities in more of a caretaker role. If you want to take one on, send me a message and I’ll share more info :)
Hi, it looks like your post got posted twice and is getting reported. You could delete one of them?
Hi @[email protected], please don’t post the same post in many unrelated communities. People will end up down voting it and reporting it as spam, which means that fewer people will actually see what you’re trying to share, especially if your account gets banned for spam.
A few posts in relevant communities will go further than posting it everywhere.
You can go back through your posts and delete the ones that are off topic
There is also [email protected] :)
crossposting between the communities can help grow both
Being able to compare between options would help me pick which one I want to use :)
Alternatively, a way to filter the full list would be helpful. That way I can select the items that I need and see everything that has what I need.
This for example:
It would be cool if there was a table to compare them with, since right now you’d have to open each of them to check.
Thank you for putting it together though!
You can add an image to the thumbnail field to get the best of both options :)
Especially if no bank account is attached and if it isn’t tied to anything on here
@[email protected] does anything show up when you log in to GitHub and check billing?
Would Aurora be a better recommendation these days?
https://selfh.st/apps/?tag=Inventory+Management
You could self host an inventory management software
Check your local libraries, or search for maker spaces
For example
Organic Maps was on iOS, my guess is that it’ll take time to get a new app approved on the iOS store
Here is the feature list of grapheneOS. A big one for me is sandboxing apps and more control over permissions.
I think it has been like that for a while. It’s not paywalled, but rather account-walled (edit: I was wrong)
There may also be different versions of the article, since I don’t always come across the wall
https://lexiglobe.com/olive-in-different-languages/
It seems that there are a few common types of sounds
Then some unique ones that still might fit into those bins:
Marathi is listed as “Jai-fa-la”, which is still somewhat similar to the second type
someone commented Gan-lan, which seems to be different
I don’t think they need a specific answer, but rather they want to comment on the different variations
Since the PieFed API was only enabled recently, there aren’t that many apps out yet. [email protected] is the one that people recommend right now. Voyager has plans to add it.
As more people use it, hopefully more apps will support it :)
Someone else already gave a decent explanation :)
Can you try these two guide pages and see if they help? They have some diagrams
https://fedecan.ca/en/guide/get-started
https://fedecan.ca/en/guide/lemmy/for-users/detailed-overview
So lemmy.ca and piefed.ca have different feeds altogether when I view them, are they two separate things then
They are two separate platforms, made by different teams. The feeds look different for a few reasons
I’m not really clear on how communicating freely between them works
Unlike Lemmy and Mastodon, which are somewhat different formats (posts in communities) vs. short text posts on a user’s profile), Lemmy and PieFed are more or less the same. So it should be a lot closer in experience. Whatever you can subscribe to, comment on, or vote on within lemmy.ca, you should be able to do the same on piefed.ca
Especially because we are running both instances, and so they will have similar block lists.
It’s nice timing! Looking forward to seeing you and your instance in the world of pie :)
Makes sense, and thank you!
I think they’re looking for local “AI” anyway. Since those work directly on your machine, there’s no concern around trust (nothing leaves your device) and the resource cost is whatever your hardware uses, or was already using.
There are some concerns still with local models, such as any biases in the training data that was used, but for image classification it wouldn’t be that bad.