Put all these creepy bastards on a publicly viewable list.
this post was submitted on 11 Feb 2026
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Didn't they already do that in their public posts or whatever? They don't care.
People are so fucking sick.
Won't work and if it does work, the resulting image has little to nothing to do with the original.
Source: I opened a badly taken .raw file a few thousand times and I know what focal length means, come at me.
Do you have a good way to remember which way fast and slow f. stops go? I always have to trail and error when adjusting camera settings to go the right direction or especially listening to someone talk about aperture.
Wider open you let in more light, and want faster shutter speed, more closed you get less light and want a longer shutter speed.
And f stops work backwards. Think of it as percent of sensor covered. The bigger the number the more covered it is and the smaller the hole/aperture.
So Wide open = low coverage = small f stop -> lots of light -> "fast" shutter speed. And then the other way around. I think you finally worded it in a way it can stick in my brain! I like thinking about the f value as how much you're covering the lens.
I like trying to simplify stuff to basic language and I am happy it was helpful
To add more specifics here for you, note that the f-stop is usually shown as a fraction, like f/2.8, f/4.0, etc.
So first of all, since the number is on the bottom of the fraction, there's where you get smaller numbers = more light.
It's also shown as a fraction because it's a ratio, between your lens's focal length (not focal distance to the subject) and the diameter of the aperture.
So if I'm taking a telephoto shot with my 70-200 @ 200 with the aperture wide open at f/2.8, that means the aperture should appear as 200/2.8 = 71.4mm. And that seems right to me! If you're the subject looking into the lens the opening looks huge.
What does focal length means?
It's the distance from the lens to the focal point, as in where the picture focuses on the sensor behind the lens. If you have a very long focal length like a telescope, you can see things further away but the range you can see is very small. With a short focal length you can't see as far but you can see a much wider view. Check out this chart:
If you get very close to something with a short focal length or far away from it with a long focal length you can get essentially the same picture of a main subject (although what you can see in the background will be different), but even then a short lens will sort of taper your subject closer to a single point and a long lens will widen it. You can see this effect easily on faces: see this gif or this gif or this picture for an example.
Wow, what an amazing reply, thank you very much. Those images help a lot.
I am so glad I no longer interact with that dumpster fire of a social network. It's like the Elon takeover and the monetization program brought out every weirdo in the world out of the woodwork
Some liberal on BlueSky tried to use genAI to unmask ICE agents.
Sounds about right for x users
late sex offender Jeffrey Epstein
I'm so done with all the whitewashing. "Sex offender" sounds like I behaved wrong in consensual sex. What this prick was is a pedophile. A child rapist. A kid-abuser and -rapist. But surely no "late financier" or whatever else media chose over the facts.
Also a slaver and child abductor.
And, it seems, murderer
Oh right, my bad 😐
Are these people fucking stupid? AI can't remove something hardcoded to the image. The only way for it to "remove" it is by placing a different image over it, but since it has no idea what's underneath, it would literally just be making up a new image that has nothing to do with the content of the original. Jfc, people are morons. I'm disappointed the article doesn't explicitly state that either.
They think that the AI is smart enough to deduce from the pixels around it what the original face must have looked like, even though there's actually no reason why there should be a strict causal relationship between those things.
The black boxes would be impossible, but there are some types of blur that keep enough of the original data they can be undone. There was a pedofile that used a swirl to cover his face in pictures and investigators were able to unswirl the images and identify him.
With how the rest of it has gone it wouldn't surprise me if someone was incompetent enough to use a reversible one, although I have doubts Grok would do it properly.
Edit: this technique only works for video, but maybe if there are several pictures of the same person all blurred it could be used there too?
Yeah, but this type of machine learning and diffusion models used in image genAI are almost completely disjoint
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Several years ago, authorities were searching the world for a guy who had been going around the world, molesting children, photographing them, and distributing them on the Internet. He was often in the photos, but he had chosen to use some sort of swirl blur on his face to hide it. The authorities just "unswirled" it, and there was his face, in all those photos of abused children.
They caught him soon after.
They couldn't do that from one photo though, they'd need several examples all believed to be the same guy. A swirl like that preserves some of the information and you can reverse it, but the lost data is lost. Do that for several photos and you can get enough preserved bits to piece something together.
Same idea for some other kinds of blurs or mosaics. Black boxes, not so much - you e got no data to work with, so anything you tried to reconstruct would be more or less entirely fantasy.
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How do these AI models generate nude imagery of children without having been trained with data containing illegal images of nude children?
The datasets they are trained on do in fact include CSAM. These datasets are so huge that it easily slips through the cracks. It's usually removed whenever it's found, but I don't know how this actually affects the AI models that have already been trained on that data — to my knowledge, it's not possible to selectively "untrain" models, and they would need to be retrained from scratch. Plus I occasionally see it crop up in the news about how new CSAM keeps being found in the training data.
It's one of the many, many problems with generative AI
Can't ask them to sort that out. Are you anti-ai? That's a crime! /s
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unblur the face with 1000% accuracy
They have no idea how this models work :D
It’s the same energy as “don’t hallucinate and just say if you don’t know the answer”
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Though it is 2026. Who's to say Elon didn't feed the unredacted files into grok while out of his face on ket 🙃
It feels like being back on the playground
"nuh uh, my laser is 1000% more powerful"
"oh yea, mine is ~~googleplex~~ googolplex percent more powerful"
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