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The article says nothing about how brains are built, nor does it mention any principles of computational neuroscience.

The paper largely consists of smug statements such as:

> Despite huge efforts and large budgets, we have no artificial systems that rival humans at recognizing faces, nor understanding natural languages, nor learning from experience

Progress in these areas is very rapid, I hope the author won't be too disappointed in the outcome.

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Currently artificial systems cannot rival humans at recognizing images, understanding natural languages and learning from experience yet, despite all the great progress that has been made. Great progress doesn't mean we're there yet.

I had to check if you were the author of the paper. You seem to think exactly the same way.

If you actually try current vision systems out on real raw video data as opposed to clean datasets of "good" photos pre-selected by humans, you'll see that they are terribly far from human performance.

Same goes for translation systems.

Most current systems (by their very design) lack dynamical representation capability necessary for modeling interactions in/of the world. I hypothesize this is important for AI that actually gets what it's dealing with.

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