I'm curious about the application and implication of using generative model for comparative analysis. Wherein, if the results are incorrect or a have a slight error in a map, can lead to incorrect conclusion and impact on policy. This observation is not centered on the Satlas projects because medical image analysis is also out there (but may be the FDA can drive some regulation). Broader question, how would we have to think about generative modeling for applications that are more then entertainment and cannot be corrected/ verified by a person (like the user in case of ChatGPT)