Part 5/12:
A key aspect of Shapiro’s methodology involves arranging generated scenes sequentially, enabling the AI to learn how one event naturally leads to the next. He employs a “next scene” generator, which, given the current scene, creates plausible subsequent scenarios. This iterative process, akin to teaching the AI a narrative pattern, ensures that the model can reliably advance plots when prompted.
He emphasizes the importance of teaching the AI to follow the correct structural format: starting with an initial scene, then seamlessly generating subsequent scenes that logically follow. Techniques like assigning UUIDs help maintain consistent scene linkage, aiding the AI in understanding scene continuity.