# Abstract

**dFusion AI Protocol:**

**Knowledge Governance for a Post-AI World**

Lite Paper v0.8 (15 April 2024)

*Authors*

*Roger Ying, Patrick de la Garza, Audrey Lin, Ivan Ravlich*

#### Abstract <a href="#akz3j9rschoe" id="akz3j9rschoe"></a>

A canonical, community-governed pool of Web3 knowledge and tools would empower existing crypto users to navigate a rapidly changing technological landscape, and create a healthy environment for onboarding the next 100 million Web3 users. The knowledge needed to safely participate in the Web3 ecosystem is spread across many different communities and is hard to verify. While analytical and monitoring tools are ever improving, they are expensive and largely inaccessible to individuals. We propose using DAO-governed Generative AI to disintermediate the vetting and labeling of Web3 knowledge and tools, employing a novel approach. Additionally, the DAO can form relationships with vetted tool providers to democratize access to resources that are usually only available to large companies. The community will be able to nominate new tool providers, and be able to stake tokens on their behalf to receive rewards based on their usage and popularity. Our infrastructure curates both tools and knowledge for the community, distinguishing between opinions and facts, and establishing a community-driven trust evaluation system. Furthermore, we introduce both staking mechanisms and an RPFG (Reward, Participate, Facilitate, Grow) community incentive model, designed to motivate contributions in knowledge, security, and data. We envision a future where access to the sum of Web3 knowledge, innovation, and security is easily accessible at the click of a button, fostering accountability within the ecosystem and developing a healthy environment to onboard the next wave of web3 users.

#### &#x20;<a href="#id-4fnm848ao5yp" id="id-4fnm848ao5yp"></a>


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