Page4: Development Roadmap and Phases
Cortensor's journey towards creating a decentralized AI inference platform is ambitious yet achievable with community support. This roadmap outlines the key milestones, focusing on both technical and community development phases from Q3 2024 through 2025. While the timeline is carefully planned, it remains flexible to accommodate adjustments based on real-time feedback and evolving needs.
Q3 2024: Launch and Genesis
Objective: Officially launch Cortensor and initiate the genesis phase, establishing the technical foundations and engaging the early community.
Key Activities:
Staking dApp: Launch the staking dApp for $COR tokens, allowing early community supporters to participate in staking and become early contributors.
Genesis Phase: Invite the community to stake tokens and prepare for the upcoming alpha testing.
Community Building: Offer incentives for early participation and build a strong foundation of supporters.
Timeline:
July-September 2024: Deploy staking dApp, initiate the genesis phase, and engage with early community members.
Q4 2024: Closed Alpha Testing
Objective: Begin closed alpha testing focused on the mining portion (Layer 1) of the Cortensor network, laying the groundwork for technical validation.
Key Activities:
Alpha Testing: Engage select community members as alpha testers to test node functionality, focusing on network tasks to prove quality and capacity in Generative AI (GenAI) inferencing, particularly with LLMs.
Compatibility Assessment: Assess compatibility across various hardware setups (CPUs, GPUs, etc.).
Development Refinement: Conduct internal development to refine the existing dev version and prepare it for alpha testing.
Timeline:
October-November 2024: Finalize development to reach closed alpha readiness.
December 2024: Polish the platform and resolve any critical issues identified during internal testing.
Q1 2025: Open Alpha Launch
Objective: Expand testing to a broader audience with an open alpha phase, continuing technical validation and strengthening network robustness.
Key Activities:
Open Alpha: Launch open alpha, allowing more participants to test the mining features and start earning points.
Feedback Collection: Gather feedback on network performance, task distribution, and node reliability.
Airdrop Planning: Plan for airdrops based on participation and contribution during the open alpha.
Timeline:
January-February 2025: Initiate open alpha, monitor performance, and collect data.
March 2025: Analyze feedback, make necessary adjustments, and prepare for the next phase.
Q2 2025: User Request Testing Phase (Layer 2)
Objective: Begin testing the user request serving portion of the platform (Layer 2), focusing on the technical aspects of user interaction and task execution.
Key Activities:
Layer 2 Testing: Introduce Layer 2 testing, focusing on handling real-time user requests and AI inference tasks.
Scalability Testing: Continue refining the network's ability to process and respond to user queries efficiently.
Airdrop Incentives: Include airdrop incentives for users who participate in testing and provide valuable feedback.
Timeline:
April-May 2025: Launch the user request testing phase, focusing on scalability and performance.
June 2025: Address any challenges, optimize the system, and prepare for broader rollouts.
Q3 2025: Full User Request and Mining Integration
Objective: Fully integrate and finalize both Layer 1 (Mining) and Layer 2 (User Request) functionalities, solidifying the technical infrastructure.
Key Activities:
Integration: Combine learnings from the previous phases to optimize the network for broader usage.
Final Testing: Conduct final rounds of testing and refinements across both layers.
Airdrop Distribution: Finalize airdrop strategies and distribute rewards to participants from the previous phases.
Timeline:
July-August 2025: Integrate Layer 1 and Layer 2, ensuring seamless operation between mining and user request functionalities.
September 2025: Prepare for the official launch of the fully integrated system, targeting broader adoption and use.
Q4 2025 and Beyond: Testnet and Mainnet Launch
Objective: Transition from alpha testing to testnet, leading to the mainnet launch, marking the completion of Cortensor's technical roadmap.
Key Activities:
Testnet Launch: Launch the testnet to simulate real-world conditions and further validate the network's capabilities.
Performance Testing: Perform extensive testing to identify and resolve any remaining issues.
Mainnet Preparation: Prepare for the mainnet launch, focusing on security, scalability, and performance.
Timeline:
October-November 2025: Deploy the testnet to gather final performance data.
December 2025: Transition from testnet to mainnet, opening the Cortensor network to the public with full functionality.
Summary
This comprehensive roadmap provides a clear vision for Cortensor’s development, focusing on both technical milestones and community engagement. From the initial launch and closed alpha testing to the eventual mainnet deployment, each phase is designed to ensure that the Cortensor platform is stable, secure, and scalable. Adjustments may be made as we progress, ensuring that Cortensor is ready for broader adoption in the decentralized AI ecosystem.
Reference: https://docs.cortensor.network/roadmap
Disclaimer: This page and the associated documents are currently a work in progress. The information provided may not be up to date and is subject to change at any time.
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