In this episode, we unpack Google DeepMind’s influential position paper outlining a new framework for defining and tracking the development of Artificial General Intelligence (AGI). The authors propose a leveled ontology of AGI based on performance and generality, offering a shared language for assessing AI capabilities, risks, and progress. We explore why defining AGI through a staged matrix matters, how current systems like ChatGPT fit into the "Emerging AGI" category, and what it means for policymakers, researchers, and society. Tune in to learn how this framework shapes the future of AI safety, risk assessment, and human-AI collaboration.