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Why Did Grok Become Antiemetic When Asked To Be Honest?

Based Camp | Simone & Malcolm Collins

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Exploring AI Development and Ideological Bias in Machine Learning

This chapter explores the development of AI safety systems designed to enhance storytelling through multiple models. It addresses the challenges of ideological biases in AI, the importance of fine-tuning training data, and the implications of biases inherent in authoritative online sources.

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