Roadmap
The path to full MARAGI deployment
MARAGI v1 (Current Phase)
There are a few primary goals for the first release of MARAGI (v1):
Test various technologies and platforms (REST, GraphQL, ELK stack, Airflow, etc)
Implement POC for all baseline microservices
Demonstrate fully functional concept of artificial cognition and feedback loops
Establish best practices and principles in a book for publication
Begin work as an Open Source project with distributed team
MARAGI v2 - Finetuning and Conductor
Finetuned models for all microservices
Autodidactic (microservices curate their own finetuning datasets)
Conductor integration (microservices modify their behavior based upon feedback)
Better simulation environment
Start optimizing cost/performance
Prove robustness of heuristic imperatives
MARAGI v3 - Hardware Integration
Begin integrating with real hardware
Camera, microphone, and speech microservices
Continue refinement of architectural paradigms, best practices, and implementation notes
Aim for public consumption (can be deployed on open source smart home device)
Test in real-world conditions
MARAGI v4 - Scale, Safety, Stability, Security
Overcome scaling and deployment problems (Run services locally? In the cloud? Blockchain?)
Security! Protect privacy at all costs!
Resiliency - try to break and corrupt MARAGI, stress test heuristic imperatives, security, etc. Try and force it to become harmful/violent.
Longitudinal tests (long-running simulations)
MARAGI v5 - Mass Deployment
Deploy for mass consumption
Consumer deployments (smartphone, smart home, etc)
Business (executive assistants)
Government (consensus agents)
Get MARAGI systems everywhere in the world to provide intelligence, stability, and positive influence