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by papito
2212 days ago
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Neural networks also have no ability to create new information based on their own mistakes. What is a mistake? When does something look "off" but still very interesting? For example, you can feed a neural net all the recipes of burgers to create a perfect burger. Great. But how does the same net invent the burger? The burger, like many foods or accidental art, was invented as a result of scarcity, circumstance, experimentation, or just fortunate error. That sort of imperfection is very hard to achieve with AI, because it is designed to be either perfect or fail. |
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Of course, an AI intended to play go isn't going to invent the burger. But I see no reason why, given a list of ingredients, their properties and a model of what human enjoy eating, a neural network couldn't invent the burger.
Creating a new recipe is just an optimization problem at its core.