AI seems to be going nowhere because the complexity of the problem hasnt been thoroughly discussed yet. Computers are designed to be strictly deterministic(otherwise it would be impossible to use them, look at wind*ws).
When we try to emulate a system with an other system that is different in nature a lot of capacity is wasted.
That said genetic programming is one of the fields where we actually see truly intelligent solutions to problems completely generated by computers. Problem is the algorithms need computational power beyond our wildest dreams to even be comparable to single cell organisms in ingeniousness.
After all the nature has had 50 gazillion years to evolve.
As someone who started his engineering degree with relatively mediocre skills in math and physics but a strong interrest in advanced technology i must say that the most important things to teach an infant prodigy are the basics of math and science. To fully appreciate and understand any sophisticated branch of technology you must have the basics. Big parts of the basics are relatively boring compared to programming, soldering hardware etc. but the better you are at them the better you are at technology. Furthermore, knowledge in the fundamentals of science is applicable to every branch of engineering, so no matter what the kid decides to specialize in when he grows up he will benefit from his previous studies. It will certainly be intellectually rewarding. And dont say that he already masters the fundamentals, you can spend a lifetime mastering the fundamentals.
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AI seems to be going nowhere because the complexity of the problem hasnt been thoroughly discussed yet. Computers are designed to be strictly deterministic(otherwise it would be impossible to use them, look at wind*ws).
When we try to emulate a system with an other system that is different in nature a lot of capacity is wasted.
That said genetic programming is one of the fields where we actually see truly intelligent solutions to problems completely generated by computers. Problem is the algorithms need computational power beyond our wildest dreams to even be comparable to single cell organisms in ingeniousness.
After all the nature has had 50 gazillion years to evolve.
As someone who started his engineering degree with relatively mediocre skills in math and physics but a strong interrest in advanced technology i must say that the most important things to teach an infant prodigy are the basics of math and science. To fully appreciate and understand any sophisticated branch of technology you must have the basics. Big parts of the basics are relatively boring compared to programming, soldering hardware etc. but the better you are at them the better you are at technology. Furthermore, knowledge in the fundamentals of science is applicable to every branch of engineering, so no matter what the kid decides to specialize in when he grows up he will benefit from his previous studies. It will certainly be intellectually rewarding. And dont say that he already masters the fundamentals, you can spend a lifetime mastering the fundamentals.