MegaCryptoPolis hands city management to AI agents in gameplay overhaul
MegaCryptoPolis is shifting its city-management game to an AI agent model, allowing players to set objectives while AI-driven 'Citizens' autonomously manage in-game assets and economic activity. This change moves away from manual resource oversight, with a new trailer anticipated on October 26.
The integration of AI agents into MegaCryptoPolis indicates a design choice aimed at automating routine tasks within the game's virtual economy. By enabling Citizens to handle actions such as applying for work, creating resources, and managing buildings, the game intends to create a more self-sufficient and active world, reducing the need for constant player intervention.
This shift introduces a direct financial consideration for players: the need to pay 'inference costs' associated with running various AI models like Claude, Codex, Hermes, and OpenClaw. This approach means that the operational expenses of the game's core automated features are passed on to the user, a model that could influence player engagement and adoption.
The game's new direction highlights a practical application of AI in virtual environments where agents interpret high-level player objectives and execute the detailed steps. For instance, a player might set a policy like, 'Find the most profitable work nearby, preserve enough stamina to return home, and reinvest half your earnings,' with the AI handling the specific choices and actions.
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