Empowering AI with Web3 technology, WorldBrain enables every human on Earth to truly participate in the birth of AGI, and encourages every user to be the creator and owner of the WorldBrain system.
Total Supply
Circulation Supply
Users
Metabolized
WorldBrain is a large-scale intelligent neural network system that mimics human brain modeling. Based on the “World Model”, it combines artificial intelligence, neuroscience, and blockchain technology through Web3 to develop a comprehensive, decentralized artificial intelligence system.
WorldBrain is an innovative AI project initiated by the Worldbrains Foundation, a subsidiary of OpenAI. Based on ChatGPT's Earth-scale database, WorldBrain establishes an initial world (frame of reference) for the "World Model", thus realizing the capability of WorldBrain to model the world like the human brain.
Leveraging distributed computing technology, deploying hardware devices globally through the DePIN network and applying tokenization mechanism, enable every user to be the creator and owner of the WorldBrain system and effectively distribute the wealth created by WorldBrain among all participants. Truly benefit the people!
The WorldBrain project was the first AI system with decentralized technology to launch. It’s time to join the thousands of explorers, artists and creators using WorldBrain.
Join UsThe uniqueness of WorldBrain lies in the combination of neural network's hierarchical, distributed processing capabilities to handle various types of information and complex relationships. The model emphasizes large-scale data processing, enabling the extraction of information from multiple sources, laying the foundation for a more comprehensive understanding and decision-making.
WorldBrain can effectively model the environment, including objects, scenes, rules, and interactions within it. By creating a model of the environment, the system gains a better understanding of its structure and features, enabling more accurate decision-making and actions.
WorldBrain can make predictions and infer future states and events based on known information and patterns. This predictive ability allows the system to make informed decisions and plans in advance, adapting to environmental changes and achieving desired goals.
Built on the modeled environment and predictions, the world model assists the system in planning and decision-making. The system can simulate different actions and their potential outcomes, evaluating each action's impact, and selecting the optimal action strategy.
The world model can generate simulated environments, enabling the system to explore and experiment an infinite number of times. By conducting explorations in the simulated environment, the system gains more knowledge and experience, improving its decision-making and action capabilities.
The world model provides visualizations and explanations of the environment and internal states of the system, aiding human understanding and analysis of the system's behavior and decision-making process. This explainability enhances transparency, facilitating effective interaction and collaboration between humans and the system.
The world model can generate diverse simulated environments and scenarios, allowing the system to produce varied actions and decisions. This diversity generation capability helps the system explore and try different strategies and methods, leading to the discovery of better solutions.
WorldBrain can effectively model the environment, including objects, scenes, rules, and interactions within it. By creating a model of the environment, the system gains a better understanding of its structure and features, enabling more accurate decision-making and actions.
WorldBrain can make predictions and infer future states and events based on known information and patterns. This predictive ability allows the system to make informed decisions and plans in advance, adapting to environmental changes and achieving desired goals.
Built on the modeled environment and predictions, the world model assists the system in planning and decision-making. The system can simulate different actions and their potential outcomes, evaluating each action's impact, and selecting the optimal action strategy.
The world model can generate simulated environments, enabling the system to explore and experiment an infinite number of times. By conducting explorations in the simulated environment, the system gains more knowledge and experience, improving its decision-making and action capabilities.
The world model provides visualizations and explanations of the environment and internal states of the system, aiding human understanding and analysis of the system's behavior and decision-making process. This explainability enhances transparency, facilitating effective interaction and collaboration between humans and the system.
The world model can generate diverse simulated environments and scenarios, allowing the system to produce varied actions and decisions. This diversity generation capability helps the system explore and try different strategies and methods, leading to the discovery of better solutions.
The decentralized nature of Web3, features dot-like energy consumption, decentralized (or weakly centralized) computation and storage, no geographical restrictions, and data encryption for user privacy protection.
DePIN network utilizes blockchain to coordinate and adjust millions of individuals in the deployment and operation of trustless, permissionless, and programmatic infrastructure. Establishing a robust foundation for hardware deployment of WorldBrain.
Distributed computing requires weak computing that doesn't rely on powerful computational resources. It has low device requirements, allowing everyone on Earth to participate with a small device, such as the smartphone.
By using token incentives, participants can earn tokens by contributing labor, materials, or other resources to maintain and improve infrastructure, thus incentivizing global communities to collaboratively build valuable physical infrastructure.