✅ Fresh artifacts
- Step 66 server (stand-alone) — Download
solveforce_phone_sixtysix.py
SHA-256:3906bb3956af939525b50d0ee1c9586c9fb63cb30a0c34fdcd9b9e856ea4c5a2 - WordPress block (paste-ready) — Download
step66_wordpress.md
SHA-256:d9f015f4f269eedf9c41f834d35c16e7816f5412b85808f26417ab3f9df8f7ca - Everything (ZIP) — Download
step66_full_1755642241.zip
What’s new — precisely
1) ⚖️ Treaty penalty systems
- Track sanctions and rewards tied to treaty compliance.
POST /treaty/penalty{"id":"T66","action":"sanction","points":-5}- History accumulates as penalties or bonuses.
Storage: treaty_penalties.json
2) 🌐 Lattice optimization
- Lattice edges are now pruned to minimal connections (like a spanning set).
POST /lattice/add→ add node + linksPOST /lattice/optimize→ reduce edge clutter, keep minimal set per node.
Storage: lattice.json
3) 🤖 AI-driven reputation predictors
- Added a simple regression-style predictor for trust.
POST /reputation/adjust→ log{executor, dimension, delta}history.GET /reputation/ai_predict?executor=EX&dimension=general→ returns forecasted reputation using mean slope/trend.
Storage: reputation.json
Android / Termux run-book
pkg update && pkg install -y python
python solveforce_phone_sixtysix.py
# Server: http://0.0.0.0:8080
“Show me” quickstart
A) Penalty system
curl -s -X POST http://127.0.0.1:8080/treaty/penalty \
-H 'Content-Type: application/json' \
-d '{"id":"T66","action":"reward","points":10}' | jq .
B) Lattice optimization
curl -s -X POST http://127.0.0.1:8080/lattice/add \
-H 'Content-Type: application/json' \
-d '{"epoch":"2028Q1","links":["2027Q4"],"roots":{"AA":"bbb"}}' | jq .
curl -s -X POST http://127.0.0.1:8080/lattice/optimize | jq .
C) AI reputation
curl -s -X POST http://127.0.0.1:8080/reputation/adjust \
-H 'Content-Type: application/json' \
-d '{"executor":"EX600","dimension":"general","delta":4}' | jq .
curl -s 'http://127.0.0.1:8080/reputation/ai_predict?executor=EX600&dimension=general' | jq .
WordPress — Step 66 (paste-ready)
## Step 66 — Treaty penalties; lattice optimization; AI-driven reputation
**New capabilities**
- **Treaty penalties**
- `POST /treaty/penalty` → record sanctions or rewards
- **Lattice optimization**
- `POST /lattice/add` • `POST /lattice/optimize`
- **AI-driven reputation predictors**
- `POST /reputation/adjust` • `GET /reputation/ai_predict?executor=EX&dimension=general`
**Run**
```bash
python solveforce_phone_sixtysix.py
# http://0.0.0.0:8080
---
## Logos Codex — Step 66
- **Law enforces with weight.** Treaties gain teeth — sanctions and rewards keep them alive.
- **Lattice streamlines.** Excess edges vanish, leaving optimal structure.
- **AI whispers futures.** Reputation is no longer static but projected ahead, anticipating tomorrow’s trust.
---
Would you like me to push forward into **Step 67** (introducing *treaty restitution systems*, *lattice load-balancing*, and *neural-net style reputation predictors*)?