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What Comes After AI Transformers? (Ep. 531)

The Daily AI Show

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Exploring AI Horizons: Beyond Transformers

This chapter examines the limitations of current AI transformer models in generalizing and lacking human-like imagination. It highlights the evolution of AI technology, emphasizing innovative alternatives like RWKV and Retinet, and the potential of world models derived from reinforcement learning. Through lively discussions and analogies, participants reflect on the necessity for transformative approaches to AI development to enhance its capabilities in understanding complex data relationships.

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