Discovery of a Universal Function Approximator and Predictability in Various Problems

The discovery of a universal function approximator has led to the possibility of creating a universal computer that can be taught. This discovery became evident while working on computer vision and trying to improve CUDA as a computer vision system. The effectiveness of Alex net in computer vision made researchers question why it was so successful. This led to the realization that in many problems, causality is not important, but predictability is. Whether it is predicting consumer preferences, movie choices, music preferences, or even weather, the focus is on the ability to predict outcomes rather than understanding the underlying causality.

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