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AI in 2025 – A global perspective, with Kai-Fu Lee

Azeem Azhar's Exponential View

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The Future of AI: Innovations and Inferences

This chapter investigates anticipated advancements in AI by 2025, particularly in text generation and multimodal applications. It explores the challenges of integrating voice interfaces and the implications of scaling laws in AI training and inference. Furthermore, it highlights significant reductions in inference costs and the evolution of computer architecture to support efficient AI applications.

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