Explore the architecture and roadmap of MARAGI, a framework for developing sentient machines, in this comprehensive 37-minute video. Dive into the core components, including the Nexus and microservices architecture, and understand their roles in creating a robust machine learning operations pipeline. Learn about autodidactic microservices, error detection in superintelligence, and the importance of morality in AI development. Discover the roadmap for MARAGI v1, principles of artificial cognition, and key considerations for security, privacy, and resiliency in machine learning systems. Gain insights into the five versions of an AI project and explore thought-provoking questions about superintelligence.
Overview
Syllabus
- Introducing Maragi
- The Maragi Architecture for Sentient Machines
- The Nexus as the center of everything
- The Nexus and records within it
- The design of a machine learning operations pipeline
- Microservices
- The advantages of a microservices architecture
- The rules for microservices in Meragi
- Autodidactic microservices in an infinite loop
- Microservices needed for meragi
- The need for error detection in a superintelligence
- The first microservices
- The risks of large language models
- The importance of learning in morality
- The objectives of a superintelligence
- The conductor microservice
- The conductor, cognitive control, and task selection
- The roadmap for Moragi v1
- The principles of artificial cognition
- The goals and next steps for Moragi
- Refining the architectural paradigms best practices and implementation
- The development of the Moragi system
- Security, privacy, and resiliency in machine learning
- The Road Map for Moragi
- The 5 versions of an AI project
- Questions about the superintelligence
Taught by
David Shapiro ~ AI
