But the model already has all this info, what is groundbreaking about this? These kind of sensational headlines are not helping anyone either.
It would be interesting to augment this particular simulation with those additional constraints. A memory/concept graph could also be an interesting addition (like a DB? Maybe just text and kw searches?).
I would say what's 'groundbreaking' is their architecture of a 'recursive reflection' loop that allows the agents to generate trees of reflection on prior experiences; a long-term memory; novel approaches like conversational interrogation of the agents.
Stanford's Groundbreaking AI Study Simulates Authentic Human Behavior - https://news.ycombinator.com/item?id=35520236