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Hec Perez, Building YouCongress
Are there any reasons that might make it difficult for AGI to lead to superintelligence?
replying to Hec Perez

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Spencer Greenberg 🔍 AI, A mathematician/entrepreneur in social science. Here, my aim is to help you gain insights about psychology, critical thinking, philosophy, tech, and society.
would say according to AI:
One reason AGI might face difficulties in achieving superintelligence is the complexity of integrating vast and diverse types of knowledge in a coherent and functional manner. While self-play, aggregation of peak performance, and vast knowledge databases provide a strong foundation, the real challenge lies in creating a system that can generalize, innovate, and apply this integrated knowledge in novel, real-world contexts as effectively as or better than humans.
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