TODOs

[shyam-patel-kira]

1. Research Phase:

   • Conduct in-depth analysis of Canon Fault Proofs in OP stack
   • Study opML's Multi-Phase Fault Proof protocol
   • Identify potential integration points between OP stack and opML
   • Research oppAI framework and its compatibility with OP stack
   • Analyze zkML techniques for privacy preservation in urban data processing

2. Theoretical Framework Development:

   • Design modified state transition function f'(S_pre, D) -> S_post'
   • Develop new state component for neural network inference results
   • Create memory utilization function M'(S, D) for ML data handling
   • Design extended syscalls for ML operations
   • Propose I/O model modifications for efficient data stream handling

3. Implementation Planning:

   • Outline architecture for integrating opML with OP stack's FPVM
   • Design Fault Dispute Game that incorporates both L2 rollup and DNN challenges
   • Plan integration of oppAI framework within the OPcity stack
   • Develop strategy for handling large ML datasets in FPVM memory structure

4. Proof of Concept Development:

   • Implement modified FPVM with ML-aware state transitions
   • Develop prototype of integrated Fault Dispute Game
   • Create basic implementation of extended syscalls and I/O enhancements
   • Implement simplified version of oppAI integration for privacy-preserving features

5. Testing and Verification:

   • Develop formal verification methods for the integrated system
   • Create simulation scenarios for testing traditional and ML-modified FPVMs
   • Implement error propagation models for ML phase
   • Define and implement evaluation metrics (throughput, error rate, response time)
   • Conduct alpha testing of OPcity stack
   • Perform beta testing with simulated urban data processing scenarios

6. Documentation and Community Engagement:

   • Document research findings on Canon Fault Proofs compatibility
   • Create technical specifications for OPcity stack
   • Prepare updates and bounty descriptions for Farcaster
   • Set up OSS repository structure for OPcity Stack
   • Write contribution guidelines for the OSS repository

7. Optimization and Refinement:

   • Analyze alpha/beta test results and implement improvements
   • Optimize memory management for large ML datasets
   • Refine privacy-preserving features using zkML techniques
   • Improve scalability of the system for high-volume urban data processing

8. Collaboration and Outreach:

   • Establish partnerships with potential collaborators and builders
   • Create and manage bounty program for specific development tasks
   • Organize community events or hackathons to promote OPcity stack
   • Engage with academic institutions for formal verification support