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/😂)

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.

If you feel like you can think clearly and are questioning if you are dreaming but are unsure, you are not.
All methods of lucid dreaming aim at making you think clearly and question if you are in a dream. With that thought, it should be quite obvious to confirm you are in fact in a dream. Dreams are really not that good, sleeping is just kinda like a heavy suspension of disbelief.

Yeah. It is not like you can perfectly recreate them, but as long as you don’t see a problem with whatever your brain fabricates it’s not gonna do anything.

What I used to do was try to breath through my nose. That is a different mechanism, where probably for safety your body doesn’t “disconnect” your breathing. If you hold your nose shut, you will still be able to breathe in a dream.
It is something you can easily make a habit, as just quickly pinching your nose doesn’t look weird, and then you will naturally do it in your sleep too and become lucid.

All you really need is a moment of doubt, and if you have experienced a few dreams you will always be able to tell if you are dreaming or awake at a thought, at least in my experience.

I have stopped lucid dreaming a while ago, but I think I am still always aware when I sleep based just off of how I sleep. Ever since then it feels more like I am just going along with my dreams most of the time, and occasionally I just decide a nightmare sucks too bad and change it or wake myself up.

You know, thinking about it, I doubt this is a coincidence.

The finger-counting is familiar to me as a technique for lucid dreaming. If you look at your hands in a dream, your brain will kinda fuck it up, so if you train yourself to pay attention to that you realize you are dreaming and become lucid.

My guess is that the origin of fae is something like sleep paralysis deamons or hallucinations, and people realized they could detect those from the same flaws of our own imagination.

Now for AI, it isn’t really drawing. What we are using in image-AI is still much more like projecting up a mental image, dreaming. We can’t get it right all at once either, even our human brain is not good enough at it, it is reasonable image-AI makes the same kind of mistakes.

The next step would logically be to emulate the drawing process. You need to imagine up an image, then observe it at large, check for inconsistencies using reasoning and visual intuition.
Hone in on any problems, stuff that doesn’t look right or doesn’t make sense. Lines not straight.
Then start reimagining those sections, applying learned techniques and strategies, painter stuff (I am not an artist).
Loosely I imagine the ai operating a digital drawing program with a lot of extra unusual tools like paste imagination or telepathic select, or morph from mind.

The main thing differentiating dreaming from painting is that for painting you can “write stuff down” and don’t have to keep it all in your head all the time. This allows you to iterate and focus in without loosing all the detail everywhere else.