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AI will make money sooner than you think, says Cohere CEO Aidan Gomez

Decoder with Nilay Patel

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Revolutionizing AI with Transformers

This chapter explores the profound impact of the 'Attention is All You Need' paper on the development of transformer architecture and its evolution in natural language processing. It discusses the growing gap between AI capabilities and user expectations, while reflecting on the distinctions between language and intelligence in AI systems. The conversation underscores the optimism for future advancements in AI, alongside the necessary caution regarding reliance on current models in critical fields.

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