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.
I learned to ignore the AI summaries after the first time I saw one that described the exact OPPOSITE conclusion/stance of the video it purported to summarize.
It would be nice of them to diffuse the clickbait.
As it is, when a video has a catchy clickbait title, I screenshot the thumbnail and have ChatGPT give me the solution. Or I’ll copy the URL into a transcript fetcher and feed that into Gemini so I can ask specific questions.
He who clickbaits is demoted to the role of “Suggest a topic for me to ask ChatGPT about”.
"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.
The AI filter applied server-side to YouTube Shorts (and only shorts, not regular videos) is horrible, and it feels like it must be a case of deliberate boiling the frog. If everyone gets used to overly smooth skin, weirdly pronounced wrinkles, waxy hair, and strange ringing around moving objects, then AI-generated content will stand out less when they start injecting it into the feed. At first I thought this must be some client-side upscaling filter, but tragically it is not. There's no data savings at all, and there's no way for uploaders or viewers to turn it off. I guess I wasn't cynical enough.
Have you tried viewing the short in the normal YouTube UI? Just copy the short's unique identifier from the URL and replace the unique identifier in any normal UI YouTube video.
I’ve also noticed YouTube has unbanned many channels that were previously banned for overt supremacist and racist content. They get amplified a lot more now. Between that and AI slop, I feel like Google is speed running the changes X made over the last few years.
Yeah, anyone in Canada has seen AI image ads and AI video ads on youtube purporting to feature or include prominent Canadian politicians (current PM and party leaders). Youtube seems to have just wholesale given up on moderating their ad content.
Talking about AI, Google, and shady tactics, I wouldn't be surprised if soon we discover they are purposefully adding video glitches (deformed characters and so on) in the first handful of iterations when using Veo video generation just so people gets used to trying 3 or 4 times before they receive a good one.
YouTube should keep their grubby hands off. And give that capability to us instead. I want the power to do personal AI edits built in. Give me a prompt line under each video. Like "replace English with Gaelic", "replace dad jokes with lorem ipsum", "make the narrator's face 25% more symmetrical", "replace the puppy with a xenomorph", "change the setting to Monument Valley", etc.
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.
Being driven mad by conspiracy paranoia about 'face filters' (possible compression artifacts) is a great example of being AI-pilled.
And then the discourse is so riddled with misnomers and baited outrage that it goes nowhere.
The other example in submitted post isn't 'edits to videos' but rather the text descriptions of automated captions. The Gemini/AI engine not being very good at summarizing is a different issue.
FYI, I used to pay for YouTube Premium and have since stopped doing that. Deleting the app and letting ad blockers filter out this nonsense is a superior experience.
Strongly recommend. We’ll get local AIs that can skip the cruft soon enough anyway.
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.
> Samuel Woolley, a disinformation expert at the University of Pittsburgh, said the company’s wording was misleading. “Machine learning is a subset of artificial intelligence,” he said. “This is AI.”
It's the other way around isn't it? "AI" is a subset of ML.
AI is the field. Machine learning is one of many specializations within the field. “Generative AI” is the colloquial term for using various machine learning models to generate text, images, video, code, etc.; that is, it’s a subfield of machine learning.
Other subfields of AI include things like search, speech and language understanding, knowledge representation, and so on. There’s a lot more to AI than machine learning and a lot more to machine learning than LLMs (“gen AI”).
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[ 3.2 ms ] story [ 70.7 ms ] threadhttps://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!
https://www.instagram.com/reel/DO9MwTHCoR_
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
As it is, when a video has a catchy clickbait title, I screenshot the thumbnail and have ChatGPT give me the solution. Or I’ll copy the URL into a transcript fetcher and feed that into Gemini so I can ask specific questions.
He who clickbaits is demoted to the role of “Suggest a topic for me to ask ChatGPT about”.
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)
I don't understand the justification for the expense or complexity.
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.
And then the discourse is so riddled with misnomers and baited outrage that it goes nowhere.
The other example in submitted post isn't 'edits to videos' but rather the text descriptions of automated captions. The Gemini/AI engine not being very good at summarizing is a different issue.
Strongly recommend. We’ll get local AIs that can skip the cruft soon enough anyway.
[1] https://www.youtube.com/@linguoermechanic
You can see it on many MANY channel thumbnails now. At least with the people I follow. I'm not a fan.
Picking out the most relevant frame in the video was better.
I just completely despair. What the fuck happened to the internet? Absolutely none of these CEOs give a shit. People need to face real punishments
It's the other way around isn't it? "AI" is a subset of ML.
No, gen AI is a subset of machine learning.
Other subfields of AI include things like search, speech and language understanding, knowledge representation, and so on. There’s a lot more to AI than machine learning and a lot more to machine learning than LLMs (“gen AI”).
I wonder if it will end up being treated as part of a codec instead of edits to the base film, and can then be re-run to undo the video's?
It feels like there needs to be a way to verify that what you uploaded is what's on the site.