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For more information Website: https://t.co/Z6r7PnXatd Twitter: @dFusionAI Discord: https://t.co/WXk85CTabQ

- Why it's beyond just another data layer dFusion mines and verifies fresh knowledge dynamically with - Economic Flywheel: Stake to validate, earn on usage. Breaks proprietary silos stake enterprise APIs for shared access - AI Native Security: Vericore + EigenLayer =

Why own a dFusion AI Subnet? - Knowledge access, contribution and distributor rights - Passive token emissions - Token airdrops and fast breakeven - Higher Staking Rewards - Re-sell access to the network

Benefits of a subnet slot - Launch your own data-driven Subnet - Set rules for data collection and validation - Earn protocol rewards, staking yields, and data fees - Leverage GPU/CPU tasks for AI inference and validation - Monetize access and contribute to an AI-native,

dFusion: AI Subnets A Subnet Slot is your access key into the dFusion AI ecosystem. Its an opportunity to configure and control a unique data rubric that contributes to the decentralized knowledge layer for the agentic web

Use cases of Vericore - Media fact-checking - Research validation - Content verification - Information integrity assessment - Source validation and cross-referencing - Prediction markets https://t.co/mdWgOX7yIA

Benefits of Vericore - No centralized truth oracle - Decentralized AI nodes - Semantic linking - Plural truths and contextual scoring by meaning

How Vericore works - Powered by Vericore SN70 - Sources live oracle data - Verifies sources in real-time - Spits out sentiment maps + prob shifts

Key Features of Vericore - Semantic analysis - Source verification - Dual validation - Scale oriented - Source attribution

dFusion: Vericore (decentralized fact-checking) Vericore is a Bittensor subnet seeking to improve large scale semantic fact checking and verification The subnet processes statements and returns evidence based validation through relevant quotes and source materials that either

DLP Tokenomics $VFSN is the life blood of AI Social Truth DLP Use case of $VFSN - Access to query and analyze data - Revenue Value Accrual - Governance rights - Privacy Protection - Own AI Agents

Benefits of valuable and community-owned asset - A step in fighting against large tech companies - Behavioral Insights - Market Research - Business Intelligence - Political or Social Movements - AI and Machine Learning

dFusion: AI Social Truth DLP The problem: AI needs verifiable knowledge The solution: dFusion's oracle model is a community-powered "knowledge mining" system that helps build AI models and tools grounded in authentic human dialogue not corporate data silos The application:

dFusion has 3 strategy solution - AI Social Truth DLP - Vericore (decentralized fact-checking) - AI Subnets

How dFusion works Step 1: Nomination– Community nodes Step 2: Pre-Vetting – LLMs Step 3: AI Validator Nodes – Bittensor Subnet 70 Vericore) vote using AI engines Step 4: The Knowledge Pool

What is @dFusionAI This is a protocol that fundamentally create community-driven knowledge base backbone for the Agentic Web. The problem: Sometimes i wonder why AI models acts biased. Obviously it's the nonsensical data they're trained on The solution: dFusion is a

A deep dive into dFusion AI On this thread i will the covering dFusion's - Core products and its tokenomics - How dFusion's oracle model actually works, - A real-world use case - Why dFusion isn't just another data layer

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