Fire hydrants. Bicycles. Traffic signals.
This is what the common man needs to recognize to prove to Google that he/she indeed belongs to the human race.
Captchas, for long, have been based on the notion that, given enough complexity, humans will be able to out-think machines.
However, the fact that we have had to make them increasingly convoluted - from adding blurs to using trippy warping effects - proves that we're in a losing game.
For example, in 2016, a professor used image recognition scripts to solve Google's image puzzle with 70% accuracy.
So, now the joke is on us.
We're trying to beat #AI in the very game it was brought into existence for. It eats image recognition for breakfast.
Now, while most machines are optimized to improve, humans tend to remain prone to error. Mercurial. Inconsistent.
That's why Amazon was planning to flip the paradigm by getting a patent for illusions that humans find hard but bots easy. You pass only if you get it wrong.
However, bots are now even getting better at that. They can be trained to dial down intellect & feign "dumbness".
Thus, we might be moving from the age of misinformation to the age of misidentity.
It makes me wonder.
Machines can certainly mimic our actions...but can they imitate our humanity?
As a Product Manager, you might be asked a lot of questions during an interview. One of them includes technical questions. Here are 4 types of technical questions that you might come across.