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14min chapter
Will AI Eat Itself?
The Artificial Human
Navigating AI Model Collapse
This chapter explores the phenomenon of model collapse in AI, emphasizing the risks posed by lack of diversity in training data. It discusses the implications of homogenized outputs and the critical importance of human creativity in curating effective data. The conversation is framed around the optimistic potential for AI when thoughtfully developed with diverse and quality inputs.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode