The way forward in AI is to focus on understanding, as opposed to mimicry. If you want to understand the nature of life, you'd look at autopoiesis, molecular biology, DNA. If you wanted to mimic life, you'd be drawing cartoons. Big difference. Lots of "AI" is a neural cartoon.
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Makes me wonder about etymology of the word "understand" …
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doesn't that lead us to think how do we understand? and what are the core components of understanding? because an AI which will learn to "understand" instead of mimicking superficial task will also probably learn to mimic some further core tasks.
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Or is the above thought wrong, and for understanding, we will have to look at teaching an AI into more indepenpendent ways? i.e. just like GANs follow a totally different process than sequential models, will we need to develop a different structure for "understanding"?
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Autonomy, whether a life form or machine tool, is based on resource management. Expenditure of energy resources to satisfy behavior drivers to meet energy requirements is not mimicry. Language is in service of this process. Language AI can be mimicked but energy can not be.
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