PressAlt+F4AndIfItComesBackThenDeleteC:\Windows\System32pleaseDontMindMyWritingMyPunctuationIsNotWorking
You can compare total better than per user at these scales.
Lemmy needs a certain amount of performance to keep up with federation, but once you have all the images and posts and comments you don't need second versions until you scale to a size that mandates multiple machines. Which I would guess is more in the 6+ digit user range, where you start averaging requests per second not minute.
In some sense, every lemmy user is a user of your instance via federation. You need to pay the performance for all 100k of us whether your instance has 10 or 10k of those. Local users are just a bit extra demanding on your hosting resources.
I suspect the bias we see here with larger instances paying a bit more (50-ish instead of 10-ish) is more due to reliability and snappyness than actual performance needs too. You tend to get optional smaller-gains pricier perks you might not go for for a smaller instance.
Link is detected without the emoji in my app. You might wanna hardcode the link as https://en.wikipedia.org/wiki/😂
[https://en.wikipedia.org/wiki/😂](https://en.wikipedia.org/wiki/😂)
If you rename a file only changing the casing it doesn't update properly, you need to rename it to something else and back.
This is so userfriendly I have been stumped by it multiple times.
On the other hand in using Linux I have had a number of problems with the casing of files: The number is 0
Yeah. You want to preserve the AI's abilities. Hence adding the "paste imagination" feature for example. If you simply use that and finish "editing" that is current AI. Then you can quickly redo only sections from imagination until they look good, maybe with a specific prompt or other form of understanding about what needs to be done and changed there.
We can invert our visual center, so basically we see an image, think about it, then can summon a mental version of that painting back as an image by converting the abstraction of it and change things about the abstraction until the mental image seems good. This abstraction can handle ideas like recognizing, moving, scaling, recoloring objects. It can do all we can imagine because it is literally how we interpret the world. Then we spend hours trying to paint that mental image we created using limited tools. If we could just project something the same way we see, that would probably match image-AI in the initial output but after tens, hundreds of passes you could likely within minutes create something completely impossible by any other means.
@Redjard
@lemmy.dbzer0.com