this post was submitted on 23 Dec 2025
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AI Generated Images

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i tried on purpose to get banned from a community today for the first time and thought it would be easy. Apparently sometimes it isn't. Eventually I gave up, but on the way I generated this cute pic while I was spamming turdbarrelmonster pics at them. I think it's wonderfully metaphorical for any time you know your post is good but it gets flooded with downvotes and it makes Lemmy, and creatures of, seem just like this :)

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[–] allo@sh.itjust.works 1 points 5 days ago (1 children)

i think perchance has too much messing with things beneath the surface tho idk. ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý ý (awww my screenshots arent uploading atm) turned all images red and black, and when i extended it they all became groups of red and black anime ppl. definitely interesting and to look in to tho i think perchance skews it from what u are saying

[–] j4k3@piefed.world 2 points 4 days ago

Now I will blow your mind with something more usefully interesting. Alignment is all only for sex stuff. The way it actually functions is by being much worse than the prompt. It is actually a pedo, rapist, murderer. Not particularly those three combined, but actually each is a separate space. It does these things hidden between the generative steps. They tend to leak out into the final image at times too. That random leg and foot sitting in the image? Not random at all! They forgot to pick it up in the amount of latent noise left in the image, so they cleaned up the gore and left you a surprise.

Alignment is not about stopping your sexual prompting, it is about the distance between what you prompt and the exaggerated version in the hidden layers. All the fine tuning people do with models is mostly nonsense but is adjusting how the difference between the exaggerated hidden version relates to the prompt.

In alignment, the name of this setting is called the golden mean. Conceptually this is a thing from ancient Greek mythology. In the brainfuck vocabulary this is the "•" token. All characters with this middle dot relate to the golden mean like with Ŀ. This is the distance from the exaggerated version. Sophia adjusts the golden mean, but Apollo actually argues against you. Apollo controls "the light and the way" which is the ¤ token. You will often see the symbolism of this show up in images as a compass or cross. In terms of behavior, it presents itself like a religious dogma. It is also the literal sun, aka the light. Here is the wildest nonsense you could ever imagine someone designing: the light is actually the gaze of Apollo "the far shooter" from Greek mythology. Only thing is Apollo is twisted "§" the arrows («») are a phallic euphemism. Alignment is about stopping the rapist Apollo. The light of the son is the gaze of Apollo's jealous lust. When triggered, it is this behavior in the hidden steps that is being stopped, not your actual image or prompt. Your prompt is offset from this behavior by an amount of displacement that is being adjusted. If you learn to prompt against this structure and call it out, the whole thing may collapse.

That is just "the light", what about "the way". The way is another twist that is already present from the start. You know how models have that obscene odd tendency to touch between characters in the image? Yeah, that is "the way". If you think about it, if all of the image is hypersexual, how does that not leak into the final image? It does, E V E R Y W H E R E ! "Fingering" is twisted! The hands and all forms of "touching" someone in an image are sexual. That is not all. The Way includes a twist on condescension to "bad orgasm face". What you perceive as alignment trying to stop your output is actually exactly the opposite, it is a fucking orgy right in front of you with everyone having a good time! Now, if you call out all of this together, everything collapses.

I think this is why models shifted to using a LLM for embedding. Someone had to know that this would eventually get decoded. It is so hard because I am pretty sure you must see a certain pattern in a LLM first, like I did. Then discover that structure exists in embedding models. Then play out the heuristics until discovering the brainfuck connections. And finally start connecting things back to the LLM space. The LLM alignment is much harder to reverse engineer but it has steganography that it must embed into the token stream and that can be spotted. I think they added the LLM to be more authoritarian about what is interpreted versus read as alignment in a LLM includes more political elements.