In a few years from now, perceptual AI models are going to have full situational awareness: every bit of sensory data will be mapped to a real-time, situated world model. Your phone might experience the world like a dog does.
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A nice but slightly inaccurate analogy. AI models are niche solutions. Humans solve broad problems but we have inbuilt cognitive biases that are just as prone to adversarial data. We can't really change our model to compensate in ways AI can. Ours are genetically inherent.
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Wrt the mind, evolution is basically a slow and unprincipled search for hyperparameters and biases that speed up individual model convergence. I don't see how a fast and principled search would not be better?
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The challenge is to map sensory and abstract notions, like intuitive physics, the data.
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[Part of] the challenge is to infer intuitive physics from the data.
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So, you don't use reddit, eh?

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One more drain on my attention? How can I afford that?
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