
45 - Samuel Albanie on DeepMind's AGI Safety Approach
AXRP - the AI X-risk Research Podcast
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Reflections on AI Paradigms and Safety
This chapter explores the introspective analysis of research assumptions related to AI capabilities, focusing on the importance of evaluating foundational techniques for future advancements. It discusses the implications of current paradigms in AI development, particularly around innovative methods like evolutionary search and the integration of hyper networks. The conversation further navigates the long-term sustainability of these paradigms and the impact of historical trends on predicting future outcomes in AI safety and technology.
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