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Evolving AI: The Path to General Intelligence
This chapter explores the evolution of AI generating algorithms as a critical step toward achieving artificial general intelligence (AGI). It emphasizes the importance of self-improving AI systems, focusing on learning architectures, meta-learning algorithms, and the development of environments that foster continuous learning. The discussion highlights how intrinsic rewards and open-ended learning approaches can lead to innovative breakthroughs and a deeper understanding of intelligence reminiscent of human cognitive processes.