Part 8/12:
Optimal topology design: Determining the best communication structures among agents remains an open question—reminiscent of Conway’s Law in software architecture.
Hierarchical control: Developing supervisory mechanisms, where high-level controllers oversee sub-agents, ensuring alignment and minimizing errors.
Model limitations: Addressing the current constraints of models like GPT-4—such as forgetting instructions when overwhelmed by complexity or the trade-offs between using large general models versus specialized mini-models.
He proposes that future advancements might feature specialized smaller models for specific tasks—combining efficiency and capability—and emphasizes that system flexibility will be key to adapting rapidly to ongoing model improvements.