This episode investigates Dr. Timnit Gebru's groundbreaking research on ethical AI at Google and her controversial termination after raising concerns about bias in large language models. Our hosts analyze the technical aspects of her team's research paper on environmental and social costs of massive AI models, while examining the broader implications for diversity and critical voices in AI development. The discussion reveals how her case exposed deep tensions between corporate AI development and ethical oversight, leading to industry-wide debates about AI accountability and research freedom.

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