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Challenges of Empirical Experience and Biological Genetic Training in AI
This chapter explores the limitations of relying solely on empirical experience in AI, using mathematical reasoning as an example. It discusses behaviors in the natural world that cannot be learned through training and mentions attempts at automated architecture search in AI.