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This post highlights Claude Shannon's foundational contributions to modern computing and AI, including information theory, the invention of logic gates, and early computer chess programming, which helped kick-start machine learning.
The article reflects on the history of text generation, drawing parallels between modern LLMs like GPT-4 and earlier concepts from Jorge Luis Borges and Claude Shannon. It explores how Shannon's probabilistic experiments and Borges' 'Library of Babel' metaphor help clarify fundamental questions about the nature of generated text and data structure.