I have proposed a new theoretical AGI Architecture that explains how current AI models are inadequate for imitating Human Intelligence and also provides an architecture that is theoretically capable of such a feat.

This Architecture introduces many ideas simultaneously and makes a lot of attempts at uniting many research ideas popular currently. Some such Ideas are:

• Asynchronous Sparse Mesh (ASM) Architecture
• Multi-Tier Learning
• Introduction of Emotions to an AGI model
• Evolvable Intelligence

I gladly invite any technical and biological critiques on this theory, especially on:

• Hardware Assumptions
• Training Methods
• Philosophical Claims
• Feasibility

For the full proposal, visit this GitHub Repository;

Embodied-Asynchronous-Multi-Tier-AGI

Looking forward to a serious discussion.