This is the solution to AI’s biggest public problem: trust and hallucination.
Current AI Sees, but Lies. That ends now.
We’re trapped in a cycle where $100B$ models hallucinate and forget. I’m proposing an architecture that solves this: LVLM + LTMM.
This is not about bigger data. It’s about building Integrity AI—an AI that can see, remember, and decide with integrity.
LVLMs (Vision-Language Models): The problem is Hallucination (The AI makes things up).
LTMMs (Long-Term Memory Models): The problem is Forgetting/Context Drift (The AI loses thread over long interactions).
The Impact: This lack of integrity is why we can’t fully trust AI in critical applications like medicine, finance, and assistive technology (like enablement for the visually challenged).
Introducing the Neuro-Protocol: LVLM + LTMM
We stopped scaling data and started scaling intelligence. Our protocol layers are inspired by the brain’s own structure:
👁️ LVLM (The Senses): Sees and understands the immediate world.
🧠 LTMM Reservoir (The Hippocampus): A verifiable, semantic memory map. It provides Grounding—the facts.
🔗 Synapse & Dendrite Vectors: The memory links that preserve Time and Context (why and when something was learned).
⚖️ Frontal Cortex Layer (The CEO): The Decision Layer that integrates what is seen (LVLM) with what is known (LTMM) to choose the most ethical and accurate outcome.
4. The Milestones & The New Branch
Introduce the future-looking, high-level impact and your call for a new field.
🎯 The Milestone: This is the leap from predictive statistical models to truly Reasoning AI. For the visually challenged, this means an assistive AI that doesn’t just describe a scene, but remembers their home layout, their specific preferences, and the history of their day—making decisions with true context and integrity.
🔬 A Call for Theoretical AI: Just as Theoretical Physics guides engineering, we need a formal branch of Theoretical AI to identify the universal principles of neuro-relationship processing. This is where the next breakthrough happens.
Is “integrity” the right word for this next phase of AI? What critical application (beyond enablement) most urgently needs an AI that can truly remember and decide with context?
Thoughts Map 