[krisoft]

> it is an almost acceptable introduction for the layman to the divergence between deterministic, classic AI and in-focus, out of ANN functions AI.

I agree with that. And if all that the article would do there would be nothing wrong with that.

But it goes further and makes sweeping statements about the state of self driving cars in general.

It talks about using machine learning to classify stop signs, and then writes: "Similar techniques are used to train self-driving cars to operate in traffic."

Which might be true for some systems, but not for others.

If you read this article you would think that present day self-driving cars are just a bunch of machine learning hooked up to a steering wheel. There are systems like that, but many people question their safety. Most other systems follow a hybrid approach, where there are machine learning components surrounded by old fashioned robotics. Leveraging the strong suits of both approaches.