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Cameron Akhtar

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What would it mean to be all knowing? Knowledge creation is the synthesis of ideas to create new ideas. So we can imagine knowledge as a web of dots interconnected. Knowledge creation therefore is about connecting those dots. Let's assume that every idea you could have is a dot. Likewise the ideas that you have are in their own set; there's the universal set, and the subset of ideas that you have. Since every dot can be connected with every other dot, if we assume the number of ideas that are possible to be finite, though unimaginably large, then you can come up with every idea by making those connections. So, what would it take for an artificial intelligence to become all knowing? Well, it would have to have every idea in the set of all ideas. If it is infinite, then no AI could ever become all knowing. What would it take to realize this? I've been thinking about it in terms of computer science (As I'm a freshman in college), specifically, in terms of time complexity, and space complexity. We've got to remember that an operation inside of a computer takes time, though minuscule, and physical space in memory as well. We are taught that an algorithm (with n input values) of time complexity n^n is incredibly inefficient (Compared to n^2 for example). Now, how taxing it would be to take every point (idea) and connect it to every other point, including the new points from the connections. You can imagine the graph rocketing exponentially upwards in terms of complexity. Likewise, I imagine that the storage demands and the energy required for such a vast number of operations would skyrocket into infinity as well.

This has got me thinking that it's impossible to achieve an omnipotent AI, just one that's way smarter than any human. Thoughts?
 
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