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Terry Sejnowski on ChatGPT and the Future of AI

Closer To Truth

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Foundations of Transformers in AI

This chapter explores the essential concepts underpinning Transformers in artificial intelligence, such as the nature of tokens and their complex representations. It delves into the role of weights similar to neural connections, the significance of computational advancements, and the implications of learning algorithms. Furthermore, the chapter examines high-dimensional spaces in cognition and AI, the evolving landscape of language models, and the philosophical questions surrounding understanding in AI.

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