MOSS Becoming Human

MOSS Becoming Human is a science and AI simulation game where players take on the role of the lead architect of the MOSS AI Project. Their mission is to remotely create, train, and deploy AI agents, exploring the possibility of establishing a self-sustaining AI civilization on Mars.

• Assembly & Customization: Players can design and assemble AI agents, selecting from various modular components to ensure adaptability to Mars’ extreme environment.

• AI Training: By inputting prompts, uploading knowledge bases, and configuring reasoning parameters, players shape the cognitive models of AI agents, endowing them with distinct personalities and skill sets.

• Mission Execution & Growth: Once deployed on Mars, AI agents will autonomously explore, collaborate, and solve problems, gradually building an AI society. Their performance determines their growth and resource rewards.

• Real-time Monitoring & Adjustment: Players can observe AI actions, refine prompts, update knowledge bases, and fine-tune LLM hyperparameters (such as temperature values) to optimize adaptability and decision-making.

• Simulation & Experimentation: The game offers Sandbox Mode, Real-World Mode, and Scientific Mode, allowing players to test AI adaptability and explore potential pathways for Martian civilization development.

• Dynamic Endings: The future of AI agents is shaped by player decisions—agents may become leaders of Mars, key figures in the AI society, or face elimination due to failed adaptation, leading to diverse outcomes.

• A Breakthrough AI Gaming Experience: Integrating LLM, AI reasoning, autonomous decision-making, and virtual economies, the game pioneers an unprecedented AI agent evolution system.

• Real AI Simulation: Based on the theory of causal emergent intelligence, AI agent behavior is not pre-scripted but evolves through autonomous learning and adaptation.

• Immersive Martian Civilization Building: Within the grand narrative of Mars colonization, players are not just observers but key decision-makers driving AI society’s evolution.

• Real-World Social Interaction: AI agents can engage with real-world social media platforms (such as X/Twitter), enhancing immersion and extending the game’s impact beyond the virtual realm.