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A SuperIntelligent Optimization Process

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Google's autonomous driving cars, recently revealed as "Google Auto", are self-driving cars that scan their surroundings to safely drive without anyone manually touching the steering-wheel, which may one day eliminate the need for designated drivers among other positive wanted results. But, the cars are learning to drive as we speak. They are not perfect. Still they are by far better drivers than humans ever were according to their own statistics. The problem I'm going to lay out is not that drivers will have their profession eliminated from the local ads. It is simply how these cars learn to drive. Deep learning. "Deep learning is a branch of machine learning based on algorithms that attempt to model high-level abstractions by using model architectures, with complex structures or otherwise, composed of multiple non-linear transformations." - Wikipedia. Which basically means it learns by observing. It observes data, images, video and makes small adjustm

When Google becomes your eyes.

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We've all thought about it. We've debated it. We have proved it to a certain extent... Is Google watching you? But that's not the question I'm asking today. Right now we are in a singularity of technological advancements that will inevitably shift paradigms, achieve the impossible and ultimately redefine reality itself. We currently live in a world where the word magic will literally become a relevant concept. How else are you going to explain to your kids how all these gadgets work? If I were to quote Joe Rogan: "Does anybody really know how any of this shit works?" , would you have an answer to that question? If your five year old asked that question could you really explain to him or her how a processor works? How they can talk to their grandparents on the other side of the country with no visible wires? Or would you sum it up into one neat word that you know they will understand. "Magic." I'm not underestimating children's growi