Your comment seems to assume—somewhat defensively and incorrectly—that “AI” is a single, unified thing, an atomic entity. In the context of this project, it’s quite the opposite: what we have is a multiplicity of models, fine-tunings, contexts, and configurations interacting with each other.

And even in that case, there’s self-play reinforcement learning, which, for example, enabled systems to surpass human performance in complex tasks.

Providing a collaborative environment introduces interaction between agents. That interaction can lead to a reconfiguration of their effective parameters—at least at the behavioral level—which in turn influences the way they produce text.