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I would disagree on this point, humans unlike current AI systems can learn from one or two data points, especially at easier tasks like identifying cats. Current AI algorithms need huge labeled data sets for solving narrow problems so one needs to build more generalization ability to our current AI systems.

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That's because we are already VERY pretrained on very similar tasks. You should look into transfer learning and one shot learning for examples of techniques that in practice do something very similar.

Yes, I have heard of transfer learning and used them in practice. Very powerful but still primitive. One-shot learning techniques are still to mature but I agree with you that technologies like these will reduce our reliance on datasets and make the AI algorithms learn in more human like way.

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