Realis Worlds [OLD]Price

(REALIS)

Realis Worlds is a Web3 project that merges artificial intelligence with metaverse technology to create a digital ecosystem for human and AI interaction. The project focuses on the concept of embodied intelligence, where AI agents are placed in complex virtual environments to learn and evolve. By facing challenges such as resource management and social cooperation, these AI agents are designed to develop alignment with human values and decision making patterns through lived experience. A core feature of the project is Earth 1:90, a massive digital environment modeled after the actual Earth using data from international space agencies such as NASA and ESA. This virtual world serves as a training ground where AI agents navigate geographic and environmental challenges that parallel the human experience. The platform aims to be more than just a game, functioning as a research experiment to study emergent behavior between humans and artificial life across hundreds of interconnected virtual realities. The REALIS token is the primary utility asset within this ecosystem. It is used to facilitate various interactions, including in-game transactions, staking for rewards, and participation in competitive events or tournaments. The token also plays a role in the platform's decentralized governance, allowing holders to have a say in the future development of the project through a DAO structure. Additionally, the ecosystem includes frameworks for an AI agent market and virtual real estate systems where the token serves as the medium for value transfer. Technologically, the project leverages blockchain to ensure transparency and digital ownership. It has been built using infrastructure like the NEAR protocol and Substrate-based systems to provide the scalability needed for complex simulations and mass audience participation. The project team consists of specialists in game design, Unity development, and backend architecture, led by founder Sergey Zasorin. Realis Worlds aims to bridge the gap between traditional gaming and decentralized technology by offering immersive experiences that hide technical complexities. This approach is intended to attract a broad audience while providing developers and researchers with a sophisticated tool for studying AI societies. The long-term vision includes a proprietary engine platform and multiple virtual worlds where AI agents can retain contextual knowledge and move between different environments. Learn more

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