The New AI Winter is Coming

So I looked at these AI researchers, using "deep learning" and hiring people to create training data sets:
https://www.bbc.com/news/technology-46055595

and I keep wondering, do they really believe human minds works like that? Because it is obvious, that people use logic to construct objects: it has head lights and, 4 wheels and 4 doors, therefore it is a car. And no training data set will ever cover all cars. The AI has to use logic and make conclusion, while deep learning is relevant only to very basic small parts, like form or texture.

The methods these AI researchers currently use will never allow them to build self driving cars and you can even prove that mathematically: there are infinite number of possible car designs, so you AI has to capture the essence of what is car, not irrelevant parts about it, like its color or form. The problem is similar to how they used early perceptrons, without realizing that single-layer perceptron cant handle non-linear problems.

Because it is obvious, that people use logic to construct objects

Most ``people'' are incapable of (or unwilling to use) logic and introspection and will instantly defer to their feelings.
``Car'' is something with significant car-ness, which is measured by neural network. If you presented an abstract pure car to an average viewer, you'd have a high chance of it not being recognized. If you presented a car-like non-car, it would be highly likely to be considered a car.

An AI doesn't need 100% accuracy. It only needs not to be noticeably worse than average human. And in many cases, neural networks already do better than humans - especially bored or distracted humans.
It certainly doesn't need to understand the underlying philosophical nature of cars. That would require it to vastly exceed average human.

You think you're using logic, but you're just justifying your feelings with constructs built out of ignorance.