[spartanatreyu]

Youtube is currently full of attention-bait, rage-bait, spam, scams, and AI noise.

It takes work over months of time to find youtube channels with value and a few more months to vet their worth.

While it IS a social media network, the majority of user content on the website is low-value spam comments.

[riku_iki]

> Youtube is currently full of attention-bait, rage-bait, spam, scams, and AI noise.

there is a chance youtube ML gives you recommendations based on your interests.. I find a lot of good quality content on youtube.

[spartanatreyu]

The problem is that one wrong video leads to a cascade of bad suggestions.

Opening one video that looks legit but is really AI noise leads to your recommendations filling with other AI noise.

Opening one video with a completely misrepresented title leads to your recommendations filling with attention-bait, rage-bait, etc...

[riku_iki]

If I would be youtube ML engineer, I would use some engagement metric as a label in loss function: for example how many % of video you actually watched, not just fact that you clicked on it.