7 stages from Energy to Output — the iteration loop that drives both systems
Both Human and AI share the same loop structure: TRIGGER initiates → process through HARDWARE, STORAGE, MODEL, BANDWIDTH → produce OUTPUT → loop back to TRIGGER for comparison. The difference isn't the mechanism — it's the flavor: consistency, fatigue, emotional influence.
Both Human and AI share the same loop structure: TRIGGER(2) → process through 3-4-5-6 → OUTPUT(7) → back to TRIGGER(2) for comparison.
The difference is flavor: Human is variable, emotional, tires fast. AI is consistent, tireless, no emotional influence.
Stage 2 (TRIGGER) does two things:
1. Initiates: "Find X" / "Is this a face?"
2. Compares: "Does OUTPUT match expectation?"
Example: "Look for a face" → process → "I see oval" → "Does face have eyes?" → process → "Found two circles" → "Position matches?" → "Yes, it's a face."
"Thinking" and "Processing" span MODEL + BANDWIDTH (Stages 5-6).
Part 1 (MODEL): How connections are made—feeling vs pattern.
Part 2 (BANDWIDTH): How much can be held at once—7±2 vs 200K.
Together: Thinking = connection method × working capacity.
Human MODEL updates: Each loop iteration can change how connections are made. Learning happens during runtime.
AI MODEL frozen: Each loop iteration uses the same weights. No learning during runtime—only during training.
This is the key difference in Stage 5.
Human gap-filling comes from multiple stages:
• BANDWIDTH (7±2): Can't hold everything → fills gaps
• TRIGGER (Ego): Desire/fear colors comparison
• STORAGE: Memory fades/transforms
AI gap-filling: Statistical fabrication (no feeling, no ego, no forgetting—just probability).
Found at BANDWIDTH (Stage 6): Both have their "just right."
Human 7±2: Singular consciousness = one attention thread. "Just right" for deep focus, meaning-making, emotional depth.
AI 200K: Parallel architecture = many threads. "Just right" for coverage, pattern-matching, consistency across scale.
STORAGE (Stage 4, Long-term): Human = associative, emotional, reconstructive. AI = parametric, statistical, frozen at training.
BANDWIDTH (Stage 6, Short-term): Human = 7±2 working memory slots, serial access. AI = 200K context window, parallel access.
Human = Singular: One body, one consciousness, irreplaceable. Trigger is Ego (internal, self-driving).
AI = Modular: Replaceable parts, scalable instances, copyable. Trigger is Prompt (internal, but initiated by human design).
AI hallucination = traceable, reproducible, statistical. Same input → same fabrication. The error is mappable.
Human hallucination = untraceable, personal, feeling-based. Memory reconstruction is hidden. The error is mysterious.
Paradox: Better training makes AI hallucinate more confidently.