A revolutionary approach to secure knowledge with economic incentives
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Today, AI models breakdown and have problems
Biased content from the start
Feeding the LLM biased content for creator's selfish purposes.
The model produces biased, fake content
AI tries to guess information to bridge knowledge gaps and produces false content as a hallucination.
Fake, biased information is then fed back to the AI
AI is continually trained on generated false data resulting in model collapse
New biased content published
Users do not have any guidelines to act on the biased content.
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Biased Content
Hallucination
Can't act on the information
Model collapse
The dFusion Protocol governs AI through a Knowledge Mining
Validating knowledge and tools for the wider community
Community contributes knowledge
Nodes nominate new knowledge in accordance with the protocol constitution to enter knowledge pool.
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Audio
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Video
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Docs, websites, API's, etc...
Nodes Validate
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Governed By
Protocol Constitution
AI powered nodes filter, validate and vote on whether new information can enter the knowledge pool.
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AI Validator
AI Validator
AI filter & validation
Distribution of Rewards
Succesful contributions reward nodes for participation
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Added to Knowledge Pool
If information is validated then it succesfully added to the knowledge pool.
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Main tasks of the Node Operator
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AI Filter
GPU
Open fusion Kernel
Pre-vet knowledge with LLM
Knowledge contribution
Knowledge Voting & Validation
Token & Partner staking
Unverified Knowledge Voting
AI Validation Engine
GPU
Knowledge Graph
Protocol Maintenance
Protocol Governance
Token Staking
Create Subnets
Nominate Topics
Nominate Knowledge Bounties
Community RPGF nominations
Check other nodes are valid
Run LLMFor knowledge recall
GPU
Application
User Access
Node operators run our Open Fusion Kernel SDK
Community projects can integrate with the Open Fusion Kernel
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Open fusion Kernel
Pre-vet knowledge with LLM
Knowledge contribution
Knowledge Voting & Validation
Token & Partner staking
Run AI
Applications
Knowledge Pool
Which allows you to stake, vote, nominate tools and knowledge while earning REWARDS
Users
Service Provider
Protocol
RPGF Pool
Community / Ecosystem
Uses AI Service
35-70%
5-40%
5-30%
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Partner Pool
Partner Revenue
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Referral fee
Knowledge
Stakers
Ecosystem Rewards
Protocol Operations
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Token burn
Pays in token
Community can stake proprietary tools and data for universal access
Breaking down walled gardens of proprietary services, tools and data aligning collective incentives
Community stakers
Community users
Service provider pool
Service provider
Knowledge
Pool
