Stable AGI for AI‑ERP: A Fractal, Ethics‑Aligned Operating System

We propose a stable AGI kernel embedded in an AI‑ERP that becomes the company’s operational heart. Stability is achieved by combining positive entropy, ethics‑aligned fractal semantics, and k‑medoids clustering (exemplar anchoring) to prevent cognitive drift. Owners set a strategic vector; the system decomposes work fractally and assigns tasks to digital twins or humans according to ability.

• Bottlenecks & Bias: Centralized management creates latency, inequity, and office politics.
• Degradation: Unstructured collaboration causes strategic drift and hidden organizational splits.
• Inequity Aversion: Unfair reward-to-effort signals degrade morale and intelligence across the organization.

Our Goal: Replace brittle hierarchy with a governed, auditable, and fair orchestration layer that remains stable over time.

1. Neural Networks Everywhere: LLMs and brains are both NNs. The key difference is that human cognition maintains positive entropy, preserving adaptability.
2. Ethics as Semantic Stabilizer: Ethics act as a “semantic checksum” that stabilizes memory, preventing drift into noise.
3. Fractal Semantics: Meaning recurs across scales. Task graphs mirror this with recursive decomposition.
4. Exemplar Anchoring (k‑Medoids): Clusters are grounded by real exemplars, resisting collapse toward meaningless centroids.

• Digital Twins: Each employee has an "ability vector" updated from their work history.
• Task Vectorization: Tasks are embedded into the same vector space for precise matching.
• No Standard Management: The kernel orchestrates; the owner sets the vector; weekly verification replaces micromanagement.
• Low‑Coordination Pattern: Ad‑hoc collaboration is minimized to prevent shadow hierarchies from forming.

The system embeds inequity aversion as a first‑class constraint to prevent motivational collapse. Rewards and workloads are algorithmically balanced by ability vectors and exemplar anchoring, ensuring perceived fairness across the organization.

ADID’s stable AGI kernel transforms the company into a self‑regulating, highly efficient organism. The owner focuses on strategy; the AI‑ERP sustains fairness, stability, and throughput without managerial bottlenecks.