That turns the web into a walled garden you can't access without submitting to google's tracking. If they'd just drop the pretense of not being a walled garden this wouldn't even be a problem that needed solving.
The problem with relying on ML on one side is it can be gamed by ML on the other.
As an example, you only have to learn how to emulate a single 'human like' pattern to fool the ML, where you target function is a simple fool or not fool ML - once you achieved fooled you are done.
Whereas to drive a car you need to deal with all the infinite variation in inputs you might experience in driving a car, with complex target functions ie safety versus speed.
Even without quotes nothing useful comes up.
Would you be so kind to leave us a useful link?
Usually the challenge i get is like may be 6 squares and one circle and I need to click on the circle. Apologies, I thought its easy to look this up because I have nt used Google search in a while and when I just searched this just now it's the first result I got on my images section.
but actually this one is better: https://twirpz.files.wordpress.com/2018/08/qwant-grabs-ip-ad...
So we live in a future where our activity is bounded by a variety of quality scores. You're mostly a human, your site's increased traffic is less legitimate...every Taylorist-Goodhartian aspect of existence is priced into the marketplaces of society.
Perhaps a decent analogy could be Black Mirror's "Nosedive" episode, but with endless dimensions instead of just one (which admittedly could be a derived score from the dimensional ratings), and ratings that aren't derived from the moods of peers and other interactors, but passively gathered from everyday behavior.
I think this is the NPR show episode: https://www.npr.org/sections/money/2019/04/24/716854013/epis...