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Realis Worlds: Advancing AI Through Embodied Learning

Realis Worlds focuses on advancing AI development by exploring embodiment and alignment. The platform provides an advanced training environment for AI agents, serving as a foundation for innovative research in AI embodiment.

The core hypothesis suggests that AI alignment emerges naturally when agents encounter the same fundamental pressures that shaped human intelligence—such as survival, resource management, and social cooperation. By constructing carefully designed virtual worlds, Realis Worlds examines how factors like geographic accuracy, historical context, and evolutionary pressures influence AI development and its alignment with human goals.

Earth 1:90 – A Mirror of Real-World Challenges

The flagship environment, Earth 1:90, is designed to replicate real-world conditions where AI agents must navigate challenges similar to those faced by humans. These include resource scarcity, environmental obstacles, and the necessity of cooperation—pressures that historically shaped human decision-making and values.

By engaging with these fundamental challenges, AI agents develop a deeper understanding of human behavior, moving beyond rule-based responses to genuine comprehension. This approach fosters more adaptable AI systems while enabling users to interact with embodied AI agents in meaningful and authentic ways.

Realis Worlds is not just another metaverse—it is an evolutionary framework for AI, where artificial intelligence evolves through experiences that parallel the development of human cognition and values.