Meredith Ringel Morris, Jascha Sohl-Dickstein, and Noah Fiedel's (2023-11-04) framework for classifying the capabilities and behavior of Artificial General Intelligence (AGI) models has left me with some intriguing questions. Specifically, I'm unsure about how their proposed 'levels' system addresses the potential implications of quantum foundations on AGI sentience (Perrier & Bennett, 2025). How do they envision a framework that accounts for non-locality and contextuality in practical implementation? Additionally, what role does domain-specific data play in training these models, given their emphasis on intricate inter-personal dynamics (Latif et al., 2023)? Finally, how can we evaluate the notion of sentience in probabilistic AGI systems when our current methods may be limited to assessing cognitive performance rather than subjective experience?