Current Brain-Computer Interfaces (BCIs) face insurmountable bottlenecks: glial scarring at the wet/dry interface, prohibitive metabolic costs of silicon computation, high latency, severe security vulnerabilities, and agonizingly slow patient calibration times. This paper proposes a paradigm shift: replacing rigid silicon BCIs with The Gunn Architecture. By utilizing an autologous, vascularized Neural Organoid CPU (OCPU) implanted in the host's omentum, we achieve native neurochemical communication between the human brain and external systems. This architecture, combined with a Ti-3Au hexagonal osseointegrated socket, a Foundational Somatomotor Model (FSM) trained on neurodivergent compensatory plasticity, and a physically tethered connection terminating at the Gunn-Gate, has the potential to reduce BCI calibration time from years to days, eliminate immune rejection, and provide true, secure, closed-loop embodiment for both prosthetics and general human-computer interaction.
Charles Gunn (2026) studied this question.