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What signals could possibly ID teenagers without having hopelessly high false positives?


False positives are a feature, not a bug:

"If the new system incorrectly identifies a user as under 18 when they are not, YouTube says the user will be given the option to verify their age with a credit card, government ID, or selfie. "


https://blog.youtube/news-and-events/extending-our-built-in-...

> We will use AI to interpret a variety of signals that help us to determine whether a user is over or under 18. These signals include the types of videos a user is searching for, the categories of videos they have watched, or the longevity of the account

For example, account created less than N years ago searching for skibidi -> probably teen.


Google probably has enough pictures taken with the person's phone's camera and recordings taken with the phone's micrphone, along with all other standard data sources like browsing history, searches and so on. There also likely are similar recordings from friends, allowing to properly profile them, with their respective positions in their networks.

So I think they can do it pretty accurately.


> So I think they can do it pretty accurately.

Yes, they can, but they just want more.


Ask them to define long distance call or what a Save icon depicts.


Enter numeric code emailed to you by rotary dial.




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