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Writing a PhD thesis is a substantial task that typically spans hundreds of pages and involves original research, rigorous methodology, and deep academic contribution. However, I can provide a detailed outline and a condensed narrative for a hypothetical PhD thesis in Computer Science for Larry Chiang, inspired by the entrepreneurial and practical spirit of his HARBUS article style, focusing on machine learning through the lens of the Third Wave of AI as described by Peter Voss. This response will integrate Voss’s work on cognitive architectures and Artificial General Intelligence (AGI) while adopting Chiang’s pragmatic, business-oriented approach to innovation. The thesis will be framed as a forward-looking exploration of machine learning systems that move beyond narrow AI toward adaptive, context-aware intelligence.
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