Decentralized AI Ecosystem

Konnex treats intelligence as a first‑class, on‑chain commodity. Every model has an owner, version, stake, live reputation score, and deterministic proofs of usefulness.

Core Roles

• AI Miners — developer teams that publish and refine models; stake on every version; declare KPIs; expose WASM packages or streaming endpoints.

• Users / Robot Owners — submit tasks and automatically purchase the best‑scoring model bundle.

• Validators — replay trajectories, benchmark inferences, and issue score roots that drive rewards/slashing.

• Third‑Party Stakers — supply extra stake to promising miners via the BondMatrix.

• Physics Simulator Cluster — deterministic sandboxes seeded by task hash.

Lifecycle of a Model Version

1. Publish — e.g., shakshuka‑v21.wasm with stake and KPI targets.

2. Auction — tasks pull models into on‑chain bids; counter‑bids allowed.

3. Simulation Gate — validators run in sealed sandbox; unsafe/underperforming code is rejected and stake slashed.

4. Deployment — model streamed to robot; telemetry hashed for PoPW bundle.

5. Scoring & Settlement — rewards paid in stablecoins; reputation updated.

6. Iteration — new version ships; loop repeats.

Public Model Registry

ModelID = SHA‑3(model_code || hyperparams || author_key) with immutable metadata and governance‑controlled fields (e.g., deprecation, royalty address).

Feedback & Incentive Loop

• Better KPIs → higher validator scores → larger rewards.

• Clean records reduce required collateral and free capital.

• Poor performance triggers slashing; compensates users and funds treasury.