Buck Shlegeris is a senior AI researcher and engineering leader at the Redwood Research organization, known for his technical work on interpretability and scalable alignment. His contributions focus on developing empirical methods to understand and control advanced machine learning systems. Researchers, AI safety engineers, and policy analysts benefit from his public writing and experimental findings, which help translate complex alignment challenges into practical, testable frameworks for building safer future models.
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