I’ve developed a full architecture for an AGI system that reasons by simulating internal visual scenes, not just predicting tokens.

Unlike transformer models, this system integrates:

• Visual Thought Simulation (to "see" abstract and concrete ideas)
• Meta-Cognitive Loops (to catch contradictions and self-correct)
• Symbolic Memory Graphs (to store beliefs and adjust them over time)
• Motivation Modeling (with curiosity-driven goal generation)

46-page technical PDF available here: 

https://archive.org/details/multimodal-cognitive-system-patent-april-20-2025xyz

I'm looking for feedback, critiques, or discussion about this visual-first AGI approach.