Roadmap

THE ROADMAP BELOW IS SUBJECT TO CHANGE OR ADJUSTMENT. THIS IS STILL A DRAFT.

Comprehensive Roadmap

Cortensor's vision for decentralized AI inference with open-source models and incentivization is both ambitious and achievable with the support of our community. As we progress, we ask for your patience and understanding, as this journey is complex and subject to changes as we refine our approach. Decentralized inference is the future of AI adaptation and inclusion, and together, we will shape this future.

Phase 1: Foundation and Development (Q3 2024 - Q1 2025)

Objective: Establish the foundational architecture and engage early community support.

Core Development:

  • Finalize L2/L3 blockchain architecture design.

  • Develop Proof of Work (PoW) system with Level 1 and Level 2 checks.

  • Enable early alpha testers to run tests and earn future airdrops for contributions to development and bug fixes.

  • Create initial Web2 (REST API) and Web3 (SDK) interfaces.

  • Develop and launch staking dApp for early supporters and potential users.

Community Building:

  • Launch the official Cortensor website and social media channels.

  • Begin targeted content marketing to raise awareness.

  • Engage with potential early adopters through community initiatives.

Partnerships:

  • Initiate discussions with AI and blockchain partners to explore collaboration opportunities.

  • Engage with academic institutions for potential research collaborations.

Phase 2: Alpha/Devnet Launch (Q4 2024 - Q1 2025)

Objective: Test and refine the PoW system and user-serving components on the devnet.

PoW System Development:

  • Roll out the alpha version of PoW on the alpha/devnet with the involvement of community supporters and testers.

  • Collect feedback and refine the PoW system based on real-world testing.

User Serving Development:

  • Develop the user-serving and request-handling components (Layer 2).

  • Conduct initial internal testing of user-serving functionalities.

Community Engagement:

  • Involve alpha testers for comprehensive feedback.

  • Reward testers with airdrops and other incentives to encourage active participation.

Feature Enhancements:

  • Refine adaptive task assignment and develop router node functionality.

  • Implement basic synthetic data generation capabilities.

Phase 3: Testnet Launch and Refinement (Q2 2025 - Q3 2025)

Objective: Transition from alpha testing to a broader testnet environment to validate the network's robustness.

Testnet Launch:

  • Deploy the initial testnet to simulate real-world conditions.

  • Implement the PoW system on the testnet and begin testing with early adopters.

User Serving Rollout:

  • Expand the alpha/devnet with the user-serving portion, integrating continuous feedback and improvements.

Developer Engagement:

  • Release comprehensive documentation and developer tools to encourage community development.

  • Host hackathons, workshops, and launch a bug bounty program.

Marketing and Community Growth:

  • Ramp up marketing efforts and participate in industry conferences.

  • Grow the community through targeted incentives and engagement campaigns.

Phase 4: Testnet Refinement (Q4 2025 - Q1 2026)

Objective: Refine the testnet and prepare for the mainnet launch, ensuring a secure and scalable platform.

Security Audits:

  • Conduct thorough security audits across the entire system to identify and address vulnerabilities.

Performance Optimization:

  • Fine-tune the PoW system and node ranking algorithms.

  • Optimize overall network performance and scalability to handle increased demand.

Testnet Refinement:

  • Implement final changes and optimizations based on testnet results.

  • Ensure that all critical issues are resolved before transitioning to the mainnet.

Phase 5: Mainnet Preparation (Q1 2026)

Objective: Prepare for the mainnet launch, ensuring that all systems are secure, scalable, and ready for broader adoption.

Mainnet Finalization:

  • Finalize all necessary components for the mainnet launch.

  • Conduct a final round of testing and validation to ensure network stability.

Mainnet Readiness:

  • Prepare all documentation, tools, and resources for the mainnet.

  • Coordinate with partners and developers for a smooth transition to the mainnet.

Phase 6: Mainnet Launch (Q1 - Q2 2026)

Objective: Officially launch the Cortensor mainnet, enabling full functionality and broad participation.

Mainnet Launch:

  • Deploy the mainnet with full functionality, including token distribution and staking mechanisms.

  • Launch initial dApps, such as the AI chatbot, to showcase platform capabilities.

Ecosystem Development:

  • Encourage third-party developers to build on the Cortensor platform.

  • Establish partnerships for real-world use cases and enterprise solutions.

Phase 7: Expansion and Enterprise Adoption (Q3 2026 and Beyond)

Objective: Expand features and drive enterprise adoption, establishing Cortensor as a leader in decentralized AI.

Feature Expansion:

  • Implement advanced privacy features for L3 chains.

  • Enhance synthetic data generation capabilities.

  • Develop support for additional AI models beyond LLMs.

Enterprise Solutions:

  • Develop enterprise-grade solutions and provide dedicated support.

  • Create case studies with early enterprise adopters to showcase the platform's capabilities.

  • Establish a dedicated enterprise sales team to drive adoption.

Interoperability:

  • Develop bridges to major blockchain networks to enhance cross-chain functionality.

  • Ensure compatibility with popular AI frameworks and tools.

Community Governance:

  • Implement decentralized governance mechanisms to give the community a voice in the platform’s future.

  • Begin transitioning key platform decisions to the community.

Phase 8: Scaling and Innovation (Q4 2026 and Beyond)

Objective: Focus on scaling the platform globally and driving continuous innovation in decentralized AI.

Global Expansion:

  • Target geographical expansion and localization efforts.

  • Establish regional partnerships and development hubs to support global growth.

Advanced Research:

  • Invest in R&D for next-generation AI inference technologies.

  • Collaborate with academic institutions on cutting-edge AI research to stay at the forefront of innovation.

Ecosystem Maturity:

  • Foster a thriving ecosystem of dApps and services built on the Cortensor platform.

  • Implement advanced tokenomics and incentive structures to sustain long-term growth.

Continuous Improvement:

  • Regularly update the platform based on community feedback and technological advancements.

  • Maintain ongoing optimization of network performance and security.

Incentive System Design and Testing

Note: The incentive system design, including its calculations and testing, will be a separate focus area that is critical to ensuring the network’s long-term viability. This process will likely occur closer to the mainnet launch and may require adjustments as we gather more data during the testnet and alpha phases. The complexity of designing a fair and effective incentive system could introduce some delays, but it is essential for creating a sustainable and balanced ecosystem for all participants.

Summary

This comprehensive roadmap outlines the key milestones and activities for Cortensor from Q3 2024 through 2026 and beyond. It focuses on the technical development phases, community engagement, and the eventual transition to a fully operational mainnet. The roadmap is subject to change as we learn and adapt, ensuring that Cortensor remains a leader in decentralized AI inference and serves the needs of our growing community.

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