Remember that reCAPTCHA v1 used to be noble: reading books and converting them to text.
Now you're just training many Google machine learning algorithms by classifying data. In which they get more useful for the consumer, thus more powerful.
Now you're just training many Google machine learning algorithms by classifying data. In which they get more useful for the consumer, thus more powerful.
What is the purpose of those choices then?
Not to get all tin-foil-hat, but this is going to sound like it, but if you have a car that has 9+ cameras upon it that drives in areas full of these, then maybe there would be some use for it for Google.
Bear in mind that I'm not saying that they are doing this but to dismiss it unequivocally as something that can't or wouldn't be done entirely ignores the premise that it could prove useful to other areas of their business, which might have a vested interest in such use (say, for example, if Google or it's parent company were trying to break into the self-driving car area[0]).
I would love to see some evidence (a link or something) of this. I see captchas that look like pretty good edge-detection discriminators- street lights in tree limbs, bicycles against brick, and so on.