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Evolving AI: From Transformers to State Space Models
This chapter explores the shift from traditional transformer models to state space models in reinforcement learning and AI ethics. It highlights the importance of hybrid models, emphasizing their potential for efficiency, scalability, and interpretability. The discussion advocates for a diverse set of AI mechanisms, proposing that future advancements will benefit from a multi-faceted approach to model development.