Machine learning is the science of figuring out how to organize information. Information cartography, if you will
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Then do you expect AGI will be just an information processor with the right parameters? Like a connectome mapping algorithms to be chosen to process information in a generalizable way? If matrices/tensors are like maps, what respectively is something as innovative as GPS?
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Just organize? Organizing training data is a requirement for sure, but isn’t the core of ML more like distillation?
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And where is it’s google maps, my friend? When will we ever know the fastest way to get to anywhere and to know anything? How about unvisited places and information
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and navigation, and creation of information
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“Intelligence organizes the world by organising itself” - Jean Piaget
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More like information decoding.
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Unsupervised, I agree. Supervised feels to me more like: - me: can you see a pattern where I can't see it? - model: yes - can you tell me what it is? - model: maybe
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