>>mystra+(OP)
A makeup influencer I follow noticed youtube and instagram are automatically adding filters to his face without permission to his videos. If his content was about lip makeup they make his lips enormous and if it was about eye makeup the filters make his eyes gigantic. They're having AI detecting the type of content and automatically applying filters.

https://www.instagram.com/reel/DO9MwTHCoR_/?igsh=MTZybml2NDB...

The screenshots/videos of them doing it are pretty wild, and insane they are editing creators' uploads without consent!

>>mystra+(OP)
Are these AI filters, or just applying high compression/recompressing with new algorithms (which look like smoothing out details)?

edit: here's the effect I'm talking about with lossy compression and adaptive quantization: https://cloudinary.com/blog/what_to_focus_on_in_image_compre...

The result is smoothing of skin, and applied heavily on video (as Youtube does, just look for any old video that was HD years ago) would look this way

>>mystra+(OP)
The citation chain for these mastodon reposts resolves to the Gamers Nexus piece on youtube https://www.youtube.com/watch?v=MrwJgDHJJoE

>>data-o+17
It's filters, I posted an example of it below. Here is a link: https://www.instagram.com/reel/DO9MwTHCoR_/?igsh=MTZybml2NDB...

>>mystra+(OP)
"Making AI edits to videos" strikes me as as bit of an exaggeration; it might lead you to think they're actually editing videos rather than simply... post-processing them[1].

That being said, I don't believe they should be doing anything like this without the creator's explicit consent. I do personally think there's probably a good use case for machine learning / neural network tech applied to the clean up of low-quality sources (for better transcoding that doesn't accumulate errors & therefore wastes bitrate), in the same way that RTX Video Super Resolution can do some impressive deblocking & upscaling magic[2] on Windows. But clearly they are completely missing the mark with whatever experiment they were running there.

[1] https://www.ynetnews.com/tech-and-digital/article/bj1qbwcklg

[2] compare https://i.imgur.com/U6vzssS.png & https://i.imgur.com/x63o8WQ.jpeg (upscaled 360p)

>>MaxL93+A7
It's not post-processing, they are applying actual filters, here is an example they make his eyes and lips bigger: https://www.instagram.com/reel/DO9MwTHCoR_/?igsh=MTZybml2NDB...

>>MaxL93+49
His followers also added screenshots of youtube shorts doing it. He says he reached out to both platforms and says he will be reporting back with an update from their customer service and is doing some compare an contrast testing for his audience.

Here's some other creators also talking about it happening in youtube shorts: https://www.reddit.com/r/BeautyGuruChatter/comments/1notyzo/...

another example: https://www.youtube.com/watch?v=tjnQ-s7LW-g

https://www.reddit.com/r/youtube/comments/1mw0tuz/youtube_is...

https://www.bbc.com/future/article/20250822-youtube-is-using...

>>asveik+4a
https://c3-neural-compression.github.io/

Google has already matched H.266. And this was over a year ago.

They've probably developed some really good models for this and are silently testing how people perceive them.

>>echelo+i8
Probably compression followed by regeneration during decompression. There's a brilliant technique called "Seam Carving" [1] invented two decades ago that enables content aware resizing of photos and can be sequentially applied to frames in a video stream. It's used everywhere nowadays. It wouldn't surprise me that arbitrary enlargements are artifacts produced by such techniques.

[1] https://github.com/vivianhylee/seam-carving

>>randyc+R9
Because it's a neural technique, not one based on pixels or frames.

https://blog.metaphysic.ai/what-is-neural-compression/

Instead of artifacts in pixels, you'll see artifacts in larger features.

https://arxiv.org/abs/2412.11379

Look at figure 5 and beyond.

>>windex+a9
I saw this today where "influencers" were taking real doctors from videos and using AI to have them pitch products.

https://www.theguardian.com/society/2025/dec/05/ai-deepfakes...

>>mystra+(OP)
This link is to a Mastodon thread which links to another blog post which links to an actual source on ynetnews.com which quotes another article that has a quote from a YouTube rep. Save yourself the trouble and go straight to that article (although it's not great either): https://www.ynetnews.com/tech-and-digital/article/bj1qbwcklg

The key section:

> Rene Ritchie, YouTube’s creator liaison, acknowledged in a post on X that the company was running “a small experiment on select Shorts, using traditional machine learning to clarify, reduce noise and improve overall video clarity—similar to what modern smartphones do when shooting video.”

So the "AI edits" are just a compression algorithm that is not that great.

>>superk+47
It also goes here https://www.youtube.com/watch?v=86nhP8tvbLY

>>mystra+(OP)
I'm seeing Youtube summary pictures which seem to be AI-generated. I was looking at [1], which is someone in China rebuilding old machines, and some of the newer summary pictures are not frames from the video. They show machines which are the sort of thing you might get by asking a Stable Diffusion type generator to generate a picture from the description.

[1] https://www.youtube.com/@linguoermechanic

>>Aurorn+Cn
> So why is the top voted comment an Instagram reel of a non-technical person trying to interpret what's happening?

It's difficult for me to read this as anything other than dismissing this person's views as being unworthy of discussing because they are are "non-technical," a characterization you objected to, but if you feel this shouldn't be the top level comment I'd suggest you submit a better one.

Here's a more detailed breakdown I found after about 15m of searching, I imagine there are better sources out there if you or anyone else cares to look harder: https://www.reddit.com/r/youtube/comments/1lllnse/youtube_sh...

To me it's fairly subtle but there's a waxy texture to the second screenshot. This video presents some more examples, some of them have are more textured: https://www.youtube.com/watch?v=86nhP8tvbLY

>>Habgdn+Mn
Hehe, I occasionally use a similar approach for visual regression testing: https://untested.sonnet.io/notes/visual-snapshot-tests-cheap...

>>Habgdn+Mn
Jill Bearup posted a video about this a while ago, showing a short and the original side by side: https://www.youtube.com/watch?v=kd692naF-Cc (note the short is shown at 0:31)

Edit: The changes made by the ai are a lot more vissible in the higher quality video uploaded to patreon: https://www.patreon.com/posts/136994036 (this was also linked in the pinned comment on the youtube video)

>>leobg+pC
You can get rid of the clickbait using DeArrow extension: https://dearrow.ajay.app/

>>scroll+Gr
It's a scar in his eyebrow from a bicycle accident as a child: https://www.facebook.com/watch/?v=2183994895455038

>>sgeren+nV
It's safe for work (usually), just silly kid nonsense

https://en.wikipedia.org/wiki/YouTube_Poop

Examples:

https://youtu.be/XyuHSjXo2Nk

https://youtu.be/wUmretPQAHo

https://youtu.be/JD3L9h45fOs

https://youtu.be/Hn0QvVgmMaQ

>>Aurorn+mc
They're doing something with neural compression, not classical techniques.

https://blog.metaphysic.ai/what-is-neural-compression/

See this paper:

https://arxiv.org/abs/2412.11379

Look at figure 5 and beyond.

Here's one such Google paper:

https://c3-neural-compression.github.io/