No, I’m telling you what I’m literally telling you. If you think Palantir is not going to have their data, I have a bridge to sell you.
Shell companies are what used for tax avoidance, the tactic is the same: work influence through separate companies also controlled by you. I am not surprised someone from the .ml is defending the worst aspects of capitalism by nitpicking criticism against them, take that as you will.
Ah, yes, that completely separate company where one of the biggest investors is from a fund belonging to Peter Thiel. Completely separate.
They are different companies in the same way Cambridge Analytica and Emerdata are different companies. Who’s one of Persona’s biggest invester through Founders Fund is Peter Thiel.
This is such a basic tactic that it literally is used for tax avoidance: shell companies. If you think Palantir is not going to have their data, I have a bridge to sell you.
From what I’ve seen, though, they don’t “have your data” as that’s not their thing.
That’s what they claim, and yet people were able to hack their Discord age verification tech and discover otherwise. Where have you even heard this, because I hope it’s not from their CEO anyone on their board, He Peter Thiel often goes on religiously fueled technofeudalist rants about the antichrist, the end of the world, and the justification for unified warrant-less mass surveillance of it all.
Oh, and: https://lemmy.world/post/44485368
That’s a good point, but this technique isn’t suddenly going to be replacing people’s works, jobs, or IP.
I’ve criticized NVIDIA for being the abusive monopoly that it is in nearly every other comment, but what you are describing isn’t even limited to just NVIDIA, and frankly, I’m not going to be really defending major IP holders, just the small creators. There’s a lot of generative AI that’s endangering small creators, but in my opinion this is not endangering it.
My biggest problem with AI training ignoring intellectual property is their hypocrisy to rush technology that is being used to try to replace a lot of real world jobs blindly, not to protect excessively long IP laws and IP copyright trolls and hoarders. People should download their free cars if they can.
True, but this is what this filter is actually doing: https://streamable.com/j0ryqe
It can manipulate lighting and material, but it has to be in the source material, if that makes sense.
It’s worse, I made plenty of criticism to go along with those comments. They are downvoting not only anything that breaks the circlejerk. They’ve been given free reign to be as toxic as possible, to the point of just being able to get away with spamming multiple communities with claims I’m a bot - and I can’t even have my usual fun trolling back in the sea of downvotes because I wrongly dismissed that this was generative AI, something Jensen himself had referred to as 😭
It would be funny if my account is lost for an issue so temporary. I’ve already begun to see the circlejerk try to get over what this actually is by switching over from claiming it is AI slop to saying it just makes it look like it and criticism that’s actually more valid. Still, it’s led to the pretty funny circumstances of people implying I’m an NVIDIA shill, because that also implies that NVIDIA shills have to now get around by telling people they should not support them and their abusive monopoly feeding the AI bubble through global cartels.
It certainly is using generative AI methods given Jensen is calling it that. People have their own issues with things, but IP theft is the biggest for me given it shows the disturbing amount of leeway people developing have been given to break the law.
There is no better way to enshittify something than to crowdsource it
It’s been nice so far, thanks for the examples and the conversation. I don’t think there’s much more to add. Even though you want to keep discussing it, I feel like I’d be repeating myself just to reach an impasse. Have a good day!
That’s ok, I can paste what you were trying to compare here:
I’m not seeing the relevance of your new video. This filter manipulates brightness and material at a pixel level, which my video shows at several. At the level of focus you are trying to show, there are still material differences being applied, like how light bounces of off the skin, eye, and lips, and the filter is working over detail that I already warned you the only frames that could be compared against each other are lacking.
My video already shows it applying well enough, but if try to zoom up to the pixels in an image that does not have the quality to show what it’s parting from and ignore what’s happening on the quality that can be made it, it certainly can be argued into a different story.
I think my example already does a decent job at showing that this isn’t just the typical image generation AI, so I’m afraid we’ll have to disagree from here on out, as I don’t think either can make the example to each other any more clearer. Regardless, if you are as interested as I am on this, it will be something true experts go over and point out when it gets released.
Just to be clear, this is what you have a problem with: https://streamable.com/j0ryqe
How about the other way around?
Yep, got it to work (hardest part was the cropping): https://streamable.com/j0ryqe
Your images are coming from different frames. If you go to the YouTube link, you can see where they were copied from and how the idle animation distorts them. Unfortunately, they’ve only included the intro clip to the video as a side by side of the same frame. Here is your example, zoomed out - it was never going to match: https://imgur.com/a/vRu1Xxa
You are working with different frames, and you are also flickering between them as opposed to using the opacity slider, which makes it difficult to see how the brightness and material effects are being altered between the two. All you need to do is gradually shift the opacity layer from the top layer once you’ve aligned them. You are actually working with the source images while I just down and dirty snipped it, gonna try getting the source image of the side by side comparison from the same frame and see if the higher definition makes a difference. I would make it a streamable, but I have no experience doing it.
Yeah, just tried it out. The ones actually from the same frame are pretty low res in comparison, but the high res ones you are choosing are from different frames, so even if you align them using the pupil as a reference, zooming out shows just how uneven they are due to minor shifts in position. Unfortunately, that means having to resort to the lower resolution alternative.
Not only have I done that, I overlayed one image on top of the other in GIMP to test it out with the opacity slider. Her eyes are not bigger, and the corners have not been moved up. The overlay is perfect, and transitions perfectly. I think that what you are referring to is the optical illusion of the eyes appearing to get “bigger” when they get brighter, but if you say, place it around a fixed reference, it is clear they remain the same size.
Regarding the football player, if you look at the entire scene, there’s a dark tone applied to everything, including the soccer ball. It seems to make dark scenes brighter and outdoor scenes darker. Having said that, I agree, the filter does exaggerate the skin color of the football player, but that’s what it alters, the lighting and material properties. There’s even a point where you can place the bar that the transition is seamless enough that it appears to be the same shot of the face. To test whether this was the case, I put it into GIMP, and using just the brightness slider tried to see whether I could make the colors match just from changing the brightness - and I could.
What I actually found more interesting is that in every other example, even the clothing folds remained the same - this is the only example where the folds in the clothing seem to change. Looking at the background, there’s also some evidence it’s not the same frame. I doubt it’s from a material change, it’s just that they are really one frame apart.
Without using GIMP, you can also take the football player, anyone of them, and zoom close up. Make a note of every features in their face, because it is preserved, if exaggerated.
DLSS 5 introduces a real-time neural rendering model that infuses pixels with photoreal lighting and materials. Bridging the divide between rendering and reality, DLSS 5 empowers game developers to deliver a new level of photoreal computer graphics previously only achieved in Hollywood visual effects.
DLSS 5 takes a game’s color and motion vectors for each frame as input, and uses an AI model to infuse the scene with photoreal lighting and materials that are anchored to source 3D content and consistent from frame to frame. DLSS 5 runs in real time at up to 4K resolution for smooth, interactive gameplay.
At most it’s texture generation, but if Jensen already identified it as generative AI, I’m not sure why they would then go and lie about it only affecting lighting and material at the pixel level.
It’s image generation just like the prototypes that converted your drawings into “realistic” image are.
This it is not, and if Jensen hadn’t referred to as generative AI, I would still think it’s just an evolution of what DLSS had been doing, except expanded to lighting and materials. Jensen obviously has no problem referring to this as generative AI, so I’m not sure why he would hide and lie about doing what you claim.
I didn’t read this.
Seems on par.
I think the algorithm just realized that it involved someone old because it draws a lot of other characters without this excessive filter. Out of curiosity, I looked the character up, and she’s supposed to be old and even haggish as the professor of defense against the dark arts: https://www.thehergula.com/wp-content/uploads/2024/06/Dinah-Hecat.jpg The wiki even describes her as having been aged excessively by being “injured by time itself”. Honestly, DLSS 5 did an apt rendition at least for this character.
I already explained to you what I meant. If it is not getting through, it is not getting through.
It’s the why.