That difference is the difference that matters. Early AI researchers hoped to build machines that emulated the human mind. They hoped to build machines that thought like people. That is not what happened. Instead, we have learned to build machines that don’t really reason at all. They associate, and that is very different. That difference is why approaches rooted in machine learning never produce the kind of General Artificial Intelligence the founders of the field were hoping for.
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Machine learning is coming of age, and it is a remarkable and even beautiful thing. But we should not mistake it for intelligence, lest we fail to understand our own.
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