Technical Roadmap: Launch to Next 365 Days Breakdown
Last updated
Last updated
THE ROADMAP BELOW IS SUBJECT TO CHANGE OR ADJUSTMENT. THIS IS STILL A DRAFT.
Objective: Officially launch Cortensor and initiate the genesis phase, focusing on technical foundations and early community engagement.
Activities:
Enable staking dApp for $COR token, allowing early community supporters and members to participate in staking and become early contributors.
Launch the genesis phase, inviting the community to stake tokens and prepare for the upcoming alpha testing.
Build and strengthen the Cortensor community by offering incentives for early participation.
Timeline:
July-September 2024: Deploy staking dApp, initiate the genesis phase, and engage with early community members.
Objective: Begin closed alpha testing focused on the mining portion (Layer 1) of the Cortensor network, laying the groundwork for technical validation.
Activities:
Engage select community members as alpha testers.
Test node functionality, focusing on network tasks to prove quality and capacity in Generative AI (GenAI) inferencing, especially with LLMs.
Assess compatibility across various hardware setups (CPUs, GPUs, etc.).
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.
Objective: Expand testing to a broader audience with an open alpha phase, continuing technical validation and network robustness.
Activities:
Launch open alpha, allowing more participants to test the mining features and start earning points.
Focus on gathering feedback on network performance, task distribution, and node reliability.
Begin planning 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.
Objective: Begin testing the user request serving portion of the platform (Layer 2), focusing on the technical aspects of user interaction and task execution.
Activities:
Introduce Layer 2 testing, focusing on handling real-time user requests and AI inference tasks.
Continue refining the network's ability to process and respond to user queries efficiently.
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.
Objective: Fully integrate and finalize both Layer 1 (Mining) and Layer 2 (User Request) functionalities, solidifying the technical infrastructure.
Activities:
Combine learnings from the previous phases to optimize the network for broader usage.
Conduct final rounds of testing and refinements across both layers.
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.
Objective: Transition from alpha testing to testnet, leading to the mainnet launch, marking the completion of Cortensor's technical roadmap.
Activities:
Launch the testnet to simulate real-world conditions and further validate the network's capabilities.
Perform extensive testing to identify and resolve any remaining issues.
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.
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.
This technical roadmap outlines the key milestones and activities from Q3 2024 through 2025, focusing on the development and testing phases necessary to build a robust decentralized AI inference network. Each phase is designed to ensure that the Cortensor platform is stable, secure, and scalable, with a clear path from closed alpha testing to the mainnet launch. The incentive system design will be a critical aspect of this process, requiring careful consideration and testing to align with network goals. Community engagement and technical validation are central to this process, ensuring that Cortensor is ready for broader adoption in the decentralized AI ecosystem.
