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Sam Altman Fired from OpenAI: NEW Insider Context on the Board’s Decision

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Transparency and Accountability in AI Training

This chapter delves into the complexities and unknowns of data sets used in training language models, advocating for transparency and public involvement. It highlights the importance of careful curation of training data, especially in sensitive fields, while discussing the need for better oversight and diverse expert participation. The speakers also address leadership challenges in AI development, urging critical thinking and healthy debate to foster responsible advancements.

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