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As everyone races towards two big concepts - decentralization and AI integration - dFusion AI takes a unique approach to reshape how communities contribute, verify, and access knowledge.
To do that, it leverages the power of collective intelligence to develop the largest open knowledge graph of entities and topics.
Putting it in plain words, dFusion AI is a protocol that seeks to create a community-driven knowledge base.
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Initially focusing on Web3 and crypto topics, the platform later aims to expand into broader domains, offering a comprehensive repository of validated information.
The potential applications of such a knowledge base are vast, ranging from academic research to business intelligence and beyond.
The key elements of this protocol are community participation and AI integration. Unlike traditional centralized databases where closed entities often curate content, dFusion AI empowers the community to contribute and validate data.
The integrity of the information is audited by an AI-powered system called the Open Fusion Kernel. This tool pre-vets entries before human validation. It also takes care of protocol maintenance.
That said, community members will have two main ways to participate:
Both knowledge contributors and node operators will be rewarded for their efforts, making it an inclusive system where anyone can participate based on their level of interest and expertise.
As the platform is still in its Genesis phase, data contributors can earn Knowledge Ingestion points, which they will later be able to convert into dFusion's native tokens.
On dFusion, the whole process is referred to as knowledge mining, and it looks somewhat like this:
Overall, the fusion of AI with human oversight ensures the balance between technological precision and human insight (hence, the name).
dFusion AI has a well-defined roadmap. The project is currently in its Genesis phase, focusing on building the foundation of its knowledge graph. Early participants have a unique opportunity to shape this ecosystem while earning rewards for their contributions.
By early 2025, the platform plans to establish its node infrastructure and launch its testnet & a native token. This should be followed by transitioning to the mainnet in mid-2025, introducing governance layers and enhancing security.
By late 2025, the potential introduction of subnets and interoperability for AI filters might further solidify its position as a pioneer in decentralized knowledge sharing.
Notably, dFusion AI plans to launch its own token. The token generation event is expected to take place in Q1 2025. This upcoming launch is central to the platform’s economic framework, ensuring long-term sustainability and incentivizing community participation.
During the TGE, anyone with Knowledge Ingestion points on dFusion AI will be able to convert them into the platform's native tokens. At least 1% of the future token supply is planned to be dedicated to Genesis rewards.
dFusion AI has big plans that go far beyond its starting goals. It seeks to make knowledge easily available to everyone and give people and groups the tools to take part.
The platform’s focus on being open, working together, and lasting economically fits right into the ideas behind Web3 – a new kind of internet built on decentralization.
As more people and businesses start using dFusion AI, the chance for new and creative ideas keeps growing. Schools, companies, and even small startups could all benefit from its tools.
dFusion AI is all about building a community where everyone owns and grows knowledge together.
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