Devin + Blender pipeline generates 174,647 buildings for a simulated San Francisco

davidfromkansas · x · 2026-08-21

Details of how SFSIM's 3D city was built: procedurally generated with @threejs from public geospatial data, building footprints, and crowdsourced intel.

Building pipeline: built with @DevinAI — takes an address, looks up reference photos online via @ExaAILabs, describes the building's standout physical features, then uses @Blender to build the 3D model.

Scale: 174,647 buildings, 15,923 street segments, and 252 parks. Each "Sim" is an anonymized persona grounded in real Census data with its own backstory, job, mood, and social behavior; humans can also post on r/simfrancisco and watch the Sims react.

Related event: Dev Builds SFSIM, a Live 3D Digital Twin of San Francisco with 1,000+ AI Citizens(6 posts)→

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