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24: Linus Lee - Engineering for Aliveness

Dialectic

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Navigating Human Complexity in AI

This chapter examines how deep learning intersects with the understanding of complex human behaviors and motivations through data. It highlights the necessity for a more nuanced language to capture human attributes and the challenges of creating intuitive interfaces for large language models. The discussion emphasizes viewing AI as a collaborative partner in technology development, recognizing the intricate balance between theoretical insights and practical application.

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