AI is now largely concerned with the creation of models, with each model being specific to a single task. Human learning integrates everything into a single model of the same reality, which we call the universe. Unified learning is the most important open problem in AI.
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Why do humans and current AI compress these patterns into different models?
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This is the question! Why compress? I think humans must compress because there is too much irrelevant info. And this is because humans have bodies not merely minds. The body -by definition- has narrow needs/abilities. It can’t care about “all” the extant data. It must choose. 1/2
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