We present SimCity, a multi-agent framework that leverages LLMs to model an interpretable macroeconomic system with heterogeneous agents and rich interactions. Unlike classical equilibrium models that limit heterogeneity for tractability, or traditional agent-based models (ABMs) that rely on hand-crafted decision rules, SimCity enables flexible, adaptive behavior with transparent natural-language reasoning. Within SimCity, four core agent types (households, firms, a central bank, and a government) deliberate and participate in a frictional labor market, a heterogeneous goods market, and a financial market. Furthermore, a Vision-Language Model (VLM) determines the geographic placement of new firms and renders a mapped virtual city, allowing us to study both macroeconomic regularities and urban expansion dynamics within a unified environment. To evaluate the framework, we compile a checklist of canonical macroeconomic phenomena, including price elasticity of demand, Engel's Law, Okun's Law, the Phillips Curve, and the Beveridge Curve, and show that SimCity naturally reproduces these empirical patterns while remaining robust across simulation runs.

The Strong National Museum of Play has revealed this year's inductees into the World Video Game Hall of Fame. Asteroids, Myst, Resident Evil, SimCity and Ultima have made the cut. While that means the likes of Guitar Hero, Metroid and Tony Hawk's Pro Skater miss out from the slate of finalists, it would be hard to make a case against any of the five inductees. Games are selected for the hall of fame based on a number of criteria, including cultural impact and their influence on the industry. Asteroids absolutely fits the bill. The 1979 game was an enormous hit.

Jason Baker was studying political science at UC Davis when he got his hands on "SimCity." He took a careful approach to the computer game. "I was not one of the players who enjoyed Godzilla running through your city and destroying it. I enjoyed making my city run well." This conscientious approach gave him a boost in a class on local government.