feat: Memory Economics + Architecture Alignment (Endgame v6.4)
New formalization: - memory-economics.md: Slumber-based consolidation, decision trail triage, spatial LOD decay, reflex rental, LoRA training cycles New research seeds (future/): - spatial-resolution-gradient.md: L0-L5 LOD with S2 cells - thermodynamic-cognition.md: Lifeforce as Prometheus Joules - promql-thermodynamic-monitoring.md: Gemini red team queries Architecture changes: - Endgame-Vision v6.4: Memory Economics integrated into Slumber section - Mirror dialectic moved to future/research (not core) - Big-Picture.md archived (superseded by Endgame-Vision) - Single source of truth established Gemini red team alignment complete. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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architecture/future/promql-thermodynamic-monitoring.md
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architecture/future/promql-thermodynamic-monitoring.md
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# PromQL Thermodynamic Monitoring Queries
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**Source**: Gemini Red Team (2026-01-01)
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**Status**: Ready for implementation when Prometheus deployed
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---
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## 1. Real-Time JLF per Heartbeat
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```promql
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# Total JLF per heartbeat (sum of GPU and CPU power)
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(
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sum(DCGM_FI_DEV_POWER_USAGE) +
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sum(node_rapl_package_watts_total)
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) * 1 # Watts * 1 second = Joules
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```
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## 2. Cognitive Waste Heat (Uncertainty Cost)
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```promql
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# Waste Heat: Energy spent on decisions with 'uncertain' ternary status
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sum(
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nimmerverse_decision_energy_joules{status="uncertain"}
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) /
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sum(
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nimmerverse_decision_energy_joules
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) * 100
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```
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**ALERT**: >40% = Cognitive Death Spiral
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## 3. Thermodynamic Efficiency (Accuracy-per-Joule)
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```promql
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# Efficiency: Confident Resolutions divided by Total Energy Spend
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sum(rate(nimmerverse_decisions_total{status="confident"}[1m]))
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/
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sum(rate(nimmerverse_lifeforce_joules_total[1m]))
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```
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## 4. Metabolic Slumber Trigger
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```promql
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# Lifeforce Pool Percentage
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(nimmerverse_lifeforce_pool_current / nimmerverse_lifeforce_pool_max) * 100
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```
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**ALERT**: <20% for >5 heartbeats = Force slumber
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---
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## First Boot Monitoring Strategy
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1. **JLF/Accuracy ratio** — Dropping while accuracy high = Reflex compilation working
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2. **Unknown (-) frequency** — Should increase during low-LF = Energy > hallucinations
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3. **Sim-Tax validation** — Virtual acceleration = non-linear JLF spike
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---
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**TODO**: Request Grafana dashboard JSON from Gemini for visualization
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