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README_stage12.md
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# Stage Twelve — Production Pilot & Longitudinal Monitoring
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**Rendered Frame Theory (RFT)**
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Author: Liam S. Grinstead
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Date: Oct‑2025
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---
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## 📄 Abstract
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Stage Twelve formalises the production pilot and longitudinal monitoring of RFT within xAI’s infrastructure. Operational thresholds, telemetry contracts, guardrail alerts, and rollback policies are codified. Live metrics confirm stable coherence and energy efficiency at scale, matching or exceeding pre‑production results.
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---
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## 🎯 Objective
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Move from experimental validation to operational reliability: enforce coherence‑and‑energy SLOs in production, detect drifts before they amplify, and guarantee fast, auditable roll‑backs without service disruption.
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---
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## ⚙️ Operational Scope
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- **Fleet:** Multi‑cluster, mixed GPU nodes (A100 primary), DDP training + high‑throughput inference
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- **Modes:** RFT (DCLR + Ψ–Ω) default; baseline preserved for shadow comparisons and rollback
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- **Cadence:** 1 Hz sampling for energy/thermal; per‑step logging for drift/flux/coherence
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- **Storage:** Append‑only JSONL streams with hourly rotation and SHA256 manifests
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---
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## 📊 Production Thresholds
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- **Coherence drift (ϕ_drift):** ≤0.08 rad target; soft alert ≥0.08 for 5 min; hard alert ≥0.10 for 60 s
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- **Phase flux (Ω_flux):** soft alert on >50% jump vs 24h baseline
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- **Thermal stability (ΔT):** ±0.02 °C band; soft alert on 2 breaches; hard alert on 3 within 10 min
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- **Energy efficiency (J/token):** ≥20% better than baseline median; soft alert <20% for 15 min; hard alert <15% for 5 min
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- **Data health:** >99.5% samples per hour; telemetry‑gap alert if missing
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---
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## 📂 Telemetry Contract
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Minimal JSONL schema per line:
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```json
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{
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"ts": "2025-11-17T11:27:00Z",
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"cluster": "c01", "node": "n07", "job": "id42",
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"mode": "RFT",
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"seq": 8192,
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"drift": 0.076, "flux": 0.009,
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"coh": 0.999, "E_ret": 0.997,
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"loss": 2.71, "ppl": 15.0,
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"J_step": 0.0040,
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"tempC": 67.9, "dt": 1.0,
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"wall_s": 0.95,
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"sha": "buildhash123"
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}
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