I went through a phase of trying to use tor just for the principle of it. So I was hit with a lot of recaptchas. And I really couldn't see how they were testing AI directly.
Usually, its the 'pick pictures of road signs' and 'pick pictures of cars' and so on. Almost all images seem to be taken from streetview cars, or possibly waymo cars.
So, the human doing the recatcha has to parse an image to extract the implicit depth information to pick out cars etc.
Whereas google know the exact location of the image so know where the roads are etc, and probably have lidar scan so they know the depth information etc too.
Picking a road sign out of a picture is kinda hard for a 2D image. Picking it out from a 4D scene created from all the different sensors their cars have, on the other hand, is a piece of cake.
google can use their 4D datasets to select a gazillion real still images that contain what they _know_ are road-signs or not road-signs or whatever.
And then they can feed these to their image classification stuff.
How does humans clicking on tiles help train their image classification AI?
I get the original post's argument of not willing to be tracked by Google, but what hurts you so much in training Google's AI?
FTFY
I would also be surprised if the work wouldn't be beneficial to other AI related work that can be used to build detailed profiles among other things.
> what's the issue with semi-passively contributing to a potential technological advancemet.
You're wastly overestimating your contribution to the technological advancement though this channel.