Part 6/11:
Despite promising results, Shapiro notes limitations—current models tend to "parrot" back information rather than authentically embody a persona. For example, instructing GPT to act as a helpful assistant or a medieval NPC often results in superficial responses that lack depth or contextual nuance.
He suggests that more sophisticated field management—such as fixed Persona fields, dynamic background info, and adaptable task outlines—would significantly improve the agent's consistency and flexibility.
Practical Applications: From Chatbots to Autonomous Robots
Shapiro demonstrates how these developments could underpin various real-world AI applications—from customer service bots to autonomous robots.