> “If a creator doesn’t specify whether or not they used AI, but our systems detect significant photorealistic AI use, we will now automatically apply a label,” YouTube said.
> YouTube creators who believe their content was incorrectly flagged as AI-generated can modify the disclosure status using the YouTube Studio tool.
What's the general overall state of AI-based AI flagging tools development? They seemed to have absurd false positive rates of not even 50% while it's obvious to whom it is obvious, no matter who or how it's done.
That's not that helpful. For example there's thousands of 'psychology' videos with descriptive bait titles like 'the psychology of people who don't click on video recommendations' which are AI-screipted, narrated, and animated. If you look at the channels the same creator will have hundreds of videos that are micro-targeted to absurdity, like 'the psychology of women who spend too much time on youtube' or 'the psychology of people who don't watch big sports games'. Most of these seem to have tens or hundreds of thousands of views. Maybe the views are botted as well, but clop producers have every incentive to spend a few hundred $ in tokens and generate 50 or 100 new videos to just blanket the recommender engine and shut out regular content that takes time and effort to produce.
I've drastically cut my use of YouTube (even though there are creators I like and wish to support) because I am so tired of wading through all the junk.
Check out the hundreds of slop feynman videos