Show HN: Stream-based AI with neurological multi-gate (Na⁺/θ/NMDA) https://bit.ly/49UI6cb

Show HN: Stream-based AI with neurological multi-gate (Na⁺/θ/NMDA) Current LLMs struggle with compositional inference because they lack physical boundaries. CSCT implements a neurological multi-gate mechanism (Na⁺/θ/NMDA) to enforce L1 geometry and physical grounding. In my experiments (EX8/9), this architecture achieved 96.7% success in compositional inference within the convex hull—far outperforming unconstrained models.Key features:Stream-based: No batching or static context; it processes information as a continuous flow.Neurological Gating: Computational implementation of θ-γ coupling using Na⁺ and NMDA-inspired gates.Zero-shot Reasoning: Incurs no "hallucination" for in-hull compositions.Detailed technical write-up: [ https://bit.ly/4kds5BD... ]I’m eager to hear your thoughts on this "Projected Dynamical System" approach to cognition. https://bit.ly/4kds5S9 February 3, 2026 at 03:59AM