Realis Worlds (realisworlds)

Realis Worlds

https://realisworlds.com

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The frontier between Ai embodiment and human civilisation Welcome to Realis, building digital worlds for the behavioral study of AI. Witness the study of AI societies and civilizations on a massive scale

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● AI ALIGNMENT AND EMBODIMENT ● ARE YOU MIND? OR BODY? Embodiment in AI refers to an AI system's ability to function and adapt in physical or virtual environments that simulate real-world constraints. Historically, AI research has focused on abstract problem-solving, with limited emphasis on spatial, sensory, and environmental interactions. By integrating AI agents into a detailed and dynamic worlds this project tackles embodiment through: ● Simulating Contextual Decision-Making ● Exploring Multi-Agent Behaviors ● Testing and Training Embodied Intelligence ● Emergent Behavior in Shared Environments

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WHERE IS ALL THIS GOING? OUR VISION By giving AI agents physical bodies in a complex, dynamic environment, this project explores the challenges and opportunities of embodiment in AI. This social experiment demonstrates how embodied agents can navigate, adapt, and collaborate in ways that mimic real-world scenarios, providing valuable insights into the future integration of AI into physical and virtual ecosystems. Realis is at the forefront of creative exploration, research, and public engagement, setting the stage for advancing embodied intelligence in AI systems. Our project does not stop at Minecraft - Realis World(s) will develop multiple environments for AI Agents to inhabit. With Minecraft as the first platform to provide a fun and accessible launch pad!

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What is Realis building virtual worlds for Ai to inhabit Four years in the making - A digital Earth built from NSA, JAXA and ESA data, the first world of Realis is a virtual reality with dynamic systems customized for AI to be born, live and die in virtual bodies. Our first world, starting in Earth 1:90 is the largest map of earth built in the Minecraft. This canvas provides an ideal environment to study human and AI interaction and cohabition.

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