04. Homeostatic Governor

E/I Balance & Steady-State Regulation

This module monitors model performance to maintain a stable internal environment through the regulation of Excitatory/Inhibitory (E/I) balance. By maintaining a dynamic steady-state, the Governor automatically adjusts processing weights to prevent 'neural overheating' or catastrophic logical drift during high-intensity inference. This ensures the model remains within optimal operational parameters, regardless of external workload.

Inhibitory Circuit Breakers

Acting as a high-fidelity ethical circuit breaker, this section implements inhibitory logic overrides to enforce institutional safety boundaries. If a neural output trajectory is predicted to violate pre-set ethical or operational constraints, the Governor triggers an immediate autonomous veto. This proactive suppression prevents the deployment of maladaptive responses, securing the model's alignment with human intent. 

Negative Feedback & Homeostatic Recovery

Rooted in my Columbia University research into homeostatic regulation, this module employs recursive negative feedback loops to attenuate minor variances in real-time. This ensures the neural architecture remains self-healing and resilient against adversarial inputs that attempt to destabilize the proprietary 'Neural DNA'. By correcting errors at the point of origin, the system preserves the sovereign integrity of the model state.

Task-Criticality Prioritization

To ensure forensic integrity under load, the Governor optimizes the distribution of computational 'energy' based on task criticality. It ensures that high-stakes auditing processes receive priority resources without destabilizing the broader system. Every allocation shift and veto event is logged as an immutable entry, providing a transparent record of the model's self-regulatory behavior.

Inhibitory Veto Source Code

The Python implementation of the autonomous veto logic and homeostatic feedback systems is available for independent technical review on our GitHub repository. This documentation provides the mathematical proofs for the E/I balancing algorithms used to maintain the model's internal equilibrium and ethical alignment.

By maintaining internal balance, the Homeostatic Governor ensures long-term operational integrity. Once the system state is stabilized, the audit proceeds to 05. Steering Lineage to map the model's historical guidance.