Realms

Realms are dynamic, continuously evolving knowledge bases that integrate real-time insights from both machines and humans. Each Realm is designed around a specific domain or industry, serving as a collaborative physical intelligence network. By structuring real-world data and augmenting it with human input, Realms deliver actionable intelligence that powers both existing AI agents and the training of future physical AI systems.

Purpose of Realms

Each Realm exists to:

• Provide AI agents with real-time contextual awareness and a form of sentience

• Train physical AI models to navigate, respond to, and interact with real-world environments

Realm Structure

Realms are open yet curated ecosystems, compartmentalized by the type of data or industry they support. They include contributions from both machines and humans, forming a symbiotic loop of data generation and refinement.

Impact

Realms represent a scalable, modular foundation for the future of physical intelligence. They bridge the gap between digital predictions and real-world execution, enabling a world where:

• Every action is informed by current, reliable data

• AI operates with an unprecedented level of environmental and contextual awareness

Summary

Together, Realms create an expansive, modular, and scalable foundation for the future of physical intelligence—a future where every decision, action, and interaction is informed by the most current and accurate understanding of reality itself.