Update roadmap.md

roadmap.md

@@ -6,60 +6,9 @@ description: Roadmap
 
 This roadmap outlines the strategic phases for developing the network, focusing on building a robust decentralized AI ecosystem while ensuring data privacy, security, and community engagement.
 
-## **Phase 1 (Q4 2024 - 3 months):** Team Building, Whitepaper Completion, and Prototype Launch
-- **Team Building:** Recruit key founders, advisors, and experts with expertise in blockchain, AI/ML, federated learning, privacy-preserving technologies, and systems architecture.
-- **Whitepaper Completion:** Collaborate with specialists for comprehensive input on design and technical specifications.
-- **Prototype Launch:** Develop and deploy smart contracts for the DIN protocol as a proof of concept, enabling decentralized AI training and reward issuance, to validate feasibility and establish a foundation for future scalability.
-- **Early Test Releases:** Initiate initial test releases to gather early feedback and validate the core concepts.
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-
-## **Phase 2 (Q1 2025 - Q3 2025 - 12-18 months):** Seed Funding, Testnet Development, Protocol Optimization, and TGE
-- **Seed Funding:** Raise seed funding to establish the project and support early-stage development.
-- **Testnet Development:** Strengthen blockchain architecture for interoperability and finalize smart contracts.
-- **Protocol Optimization:** Optimize federated learning protocols for efficiency, integrating privacy-preserving features.
-- **Token Generation Event (TGE):** Token-generating event designed to secure the network and ensure long-term sustainability through utility-driven token models.
-- **Community Building:** Launch the website and engage with AI and blockchain communities for feedback.
-- **Marketing:** Begin marketing efforts to raise awareness about the project and its potential.
-- **Testnet Testing:** Conduct closed testnet tests to validate functionality and collect user feedback.
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-
-## **Phase 3 (Q3 2025 - Q1 2026 - 18-24 months):** Testnet Launch, Privacy Features Integration, Developer Tools, and Series A Financing Round
-- **Testnet Launch:** Launch the testnet to demonstrate infrastructure and onboard early testers for feedback.
-- **Privacy Features Integration:** Integrate advanced privacy-preserving technologies, such as homomorphic encryption (HE), to ensure data security on the network.
-- **Developer Tools and Ecosystem Support:** Release comprehensive tools, documentation, and host community engagement events.
-- **Series A Financing Round:** Seek Series A funding to further support growth and development.
-- **Token Listings:** List tokens on relevant exchanges to enhance liquidity and attract broader participation.
-- **Community Engagement:** Continue engaging with the community to build network participants, including data providers, evaluators, and stakeholders.
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-## **Phase 4 (Q1 2026 - Q3 2026 - 24-36 months):** Mainnet Deployment, Performance Optimization, and Community Engagement
-- **Mainnet Deployment:** Launch the DIN mainnet with full functionality on Ethereum.
-- **Performance Optimization:** Continuously enhance scalability through layer 2 solutions and other optimizations.
-- **Marketing Push:** Focus on increasing awareness and adoption through targeted marketing campaigns.
-- **Community Engagement:** Transition to DAO governance and establish grant programs for projects.
-- **Decentralization of Protocol Ownership:** Begin decentralizing control of the protocol to the community to ensure long-term sustainability and governance.
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-
-## **Phase 5 (Q3 2026 and beyond - 36+ months):** Ecosystem Expansion, Enterprise Integration, and Decentralized AI Marketplaces
-- **Ecosystem Expansion:** Strengthen partnerships to support decentralized applications and broaden the ecosystem's capabilities.
-- **Enterprise Integration:** Develop solutions tailored to enterprises, driving adoption among major corporations within the ecosystem.
-- **Decentralized AI Marketplaces:** Launch a decentralized marketplace for AI models and datasets, ensuring transparency, fair compensation, and quality control.
-- **Network Growth:** Focus on generating revenue through network fees to sustain ongoing development and incentivize participation.
-- **Research and Development:** Continue advancing AI coordination in blockchain through continued research and strategic collaborations.
-- **Interoperability and Standards:** Partner with industry bodies to set standards for decentralized AI networks, ensuring broader adoption and seamless integration.
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-# Phase 1: Foundation and Proof of Concept (6-12 months)
+# Phase 1: Foundation and Proof of Concept (3 months)
 
 ## 👥 Team Building
 - Recruit key founders, advisors, and experts with expertise in blockchain, AI/ML, federated learning, privacy-preserving technologies, and systems architecture.
@@ -69,57 +18,58 @@ This roadmap outlines the strategic phases for developing the network, focusing
 
 ## 🧪 Prototype
 - Develop and deploy smart contracts for the DIN protocol as a proof of concept, enabling decentralized AI training and reward issuance, to validate feasibility and establish a foundation for future scalability.
+- Initiate initial test releases to gather early feedback and validate the core concepts.
 
 ## 🌍 Community Building
 - Launch the website and engage with AI and blockchain communities for feedback.
 - Engage with industry experts to guide project development 
 
 ---
 
-# Phase 2: Seed Funding & Testnet Development (12-18 months)
+# Phase 2: Seed Funding & Testnet Development (6-12 months)
 
-## 🔬 Establish Lab  
-- Raise seed funding to establish DIN Labs, supporting Doctelligence's research and technological innovation. This will enable systematic network expansion and ecosystem development.
+## 💰 Seed Funding
+- Raise seed funding to establish the project and support early-stage development.
 
-## 🔗 Blockchain Testbed Enhancements
+## 🔗 Testnet Development
 - Strengthen blockchain architecture for interoperability and finalize smart contracts.
 
-## 📊 Federated Learning Protocol Optimization
-- Optimize protocols for efficiency, integrating privacy-preserving features.
+## 📊 Protocol Optimization
+- Optimize federated learning protocols for efficiency, integrating privacy-preserving features.
+
+## 🌐 Community Building
+- Launch the website and engage with AI and blockchain communities for feedback.
+
+## 📢 Marketing
+- Initiate marketing efforts to raise awareness and generate interest in the project.
 
 ## 🔬 Testnet Testing
 - Conduct closed testnet tests to validate functionality and collect user feedback.
 
-## 💰 Subsequent Funding Rounds  
+## 💼 Subsequent Funding Rounds & TGE
 - Seek Series A funding to further support growth and development.
+- Host a token-generating event (TGE) to secure the network and ensure long-term sustainability through utility-driven token models.
 
 ---
+# Phase 3: Testnet Launch and Ecosystem Growth (12-24 months)
 
-##  🔄 Token Generating Event (TGE)  
-- Token-generating event (TGE) designed to secure network and long-term sustainability through utility-driven token models.
-- Token distribution will allocate to Evaluators, the core team, contributors, liquidity provisions, marketing, affiliate programs, and decentralized governance. The TGE will ensure broad participation and support the decentralized ecosystem's development.
-
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-
-# Phase 3: Testnet Launch and Ecosystem Growth (18-24 months)
+## 🚀 Testnet Launch
+- Launch the testnet to demonstrate infrastructure and onboard early testers for feedback.
 
-## ⚙️ Testbed and Protocol Refinement
-- Enhance testbeds with integrated federated learning protocols and establish multi-chain interoperability.
+## 🔐 Privacy Features Integration
+- Integrate advanced privacy-preserving technologies, such as homomorphic encryption (HE), to ensure data security on the network.
 
 ## 🛠️ Developer Tools and Ecosystem Support
 - Release comprehensive tools, documentation, and host community engagement events.
 
-## 🚀 Testnet Launch
-- Launch the testnet to demonstrate infrastructure and onboard early testers for feedback.
-
-## 🔐 Privacy-Preserving Features
-- Integrate advanced privacy-preserving technologies, such as homomorphic encryption (HE), to ensure data security on the network.
-
-## 📊 Community and Network Building
-- Engage with the community to build network participants, including data providers, evaluators, and stakeholders, to ensure a decentralized and scalable ecosystem.
+## 💡 Token Listings
+- List tokens on relevant exchanges to enhance liquidity and attract broader participation.
+
+## 🌍 Community Engagement
+- Continue engaging with the community to build network participants, including data providers, evaluators, and stakeholders to ensure a decentralized and scalable ecosystem.
 
 ## 🤝 Partnerships
-- Forge collaborations with federated learning companies and data providers.
+- Forge collaborations with federated learning companies, open-source organizations, and data providers.
 
 # Phase 4: Mainnet Deployment and Scaling (24-36 months)
 
@@ -138,8 +88,8 @@ This roadmap outlines the strategic phases for developing the network, focusing
 ## 👥 Community Engagement
 - Transition to DAO governance and establish grant programs for projects.
 
-## 💰 Subsequent Funding Rounds
-- Seek Series B funding to further support growth and development.
+## 🏗️ Decentralization of Protocol Ownership
+- Begin decentralizing control of the protocol to the community to ensure long-term sustainability and governance.
 
 # Phase 5: Long-term Vision and Innovation (36+ months)
 
@@ -163,8 +113,8 @@ This roadmap outlines the strategic phases for developing the network, focusing
 
 ## 🛠️ Decentralized AI Marketplaces
 - Launch a decentralized marketplace for AI models and datasets, ensuring transparency, fair compensation, and quality control.
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+  
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-# 📝 Future Outlook
-This roadmap serves as a living document, guiding the development and strategic growth of the network. Each phase builds upon the previous one, ensuring a sustainable, innovative, and community-driven approach to decentralized AI.
+# 🚀 Visions for the Future: The Path to Decentralized AI
+This roadmap outlines a clear path toward a sustainable and community-driven decentralized AI ecosystem, with each phase laying the foundation for the next. By following this roadmap, we are committed to ensuring that our decentralized AI network evolves in a way that is both innovative and inclusive.