As historian Benjamin Breen mentions, the leading language models are good historians, so the application will simulate historical events pretty well also.

I include a Multi-Agent RL Urban Mobility model in progress displayed on the map as small white cubes representing traffic and pedestrians. Around SF, it uses real census data and other sources for semantically meaningful day plans, etc. It will populate where you move the map, albeit a little slowly. This is based on previous work on my GitHub--I hope to connect it to Unreal's city samples project soon.

The simulations are pretty simple so far but will grow in complexity soon.

I won the AGI House World Models Hackathon with this and the MARL model.

Many thanks to Shota Matsuda and Garrett Johnson for the cloud and atmospheric effects libraries on Github at takram-design-engineering/three-geospatial

Glad for feedback, and thanks for trying it out!