Part 6/8:
Shapiro explains how Raven maintains multiple threads of thought via unique identifiers (UUIDs), enabling it to handle different contexts or "streams" simultaneously. This allows the AI to process multiple problem facets—like developmental issues or behavioral triggers—without losing track of previous insights.
He also notes the capacity of different GPT engines (like Curie, a less expressive model) to generate varying responses based on context complexity, emphasizing the importance of choosing the right model for nuanced augmentation.