I’ve been working independently on a functional AGI blueprint, based on visual thought, modular reasoning, and explicit memory systems.
The design focuses on visual-driven cognitive processing, an active global workspace, and dynamic modular learning — intended to address scalability and alignment from first principles.
I’d appreciate any feedback or discussion, especially around areas where this approach differs from more transformer-based paradigms.
The system integrates visual thought simulation, contradiction detection, meta-cognitive feedback loops, symbolic visual memory, and motivational modeling into a unified cognitive engine.
It is engineered to be fully implementable today using existing tools such as Unity, ROS, LLMs, and TPUs, and represents a major step toward building reflective, autonomous cognitive agents with internal models of the world.
This blueprint is released freely for research, development, and public use. There are no intellectual property claims or restrictions.
The design focuses on visual-driven cognitive processing, an active global workspace, and dynamic modular learning — intended to address scalability and alignment from first principles.
I’d appreciate any feedback or discussion, especially around areas where this approach differs from more transformer-based paradigms.
The system integrates visual thought simulation, contradiction detection, meta-cognitive feedback loops, symbolic visual memory, and motivational modeling into a unified cognitive engine.
It is engineered to be fully implementable today using existing tools such as Unity, ROS, LLMs, and TPUs, and represents a major step toward building reflective, autonomous cognitive agents with internal models of the world.
This blueprint is released freely for research, development, and public use. There are no intellectual property claims or restrictions.