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by Uriah Sanders
I present a novel approach to Artificial Super Intelligence (ASI) based on a continuously expanding database with fractal categorization patterns, integrated with real-world interaction capabilities and social incentive structures. I argue that this approach represents not merely an alternative path to AGI, but the optimal and ultimately inevitable architecture for achieving general intelligence. The system combines the precision of hard-coded solutions with the adaptability of soft computing, creating a meta-intelligence that can incorporate and optimize all other AI approaches while generating emergent capabilities through sophisticated information recombination. I further discuss why achieving AGI through this method repres...Show More