dafit/nimmerverse-sensory-network

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dafit ec77cba4d4 feat: GRPO reward architecture + Qwen3-VL-32B queen + doc restructure

Evening session 2025-12-10 (dafit + Nyx 🌿)

Reward Architecture:
- Added Reward Signal Architecture section to Cellular-Architecture
- Added Tiered Rewards & Training Integrity (anti-shortcut via lifeforce)
- Documented GRPO integration with rubric-based dense rewards
- Credit assignment automatic via decision_trails

Documentation Restructure:
- Promoted Temporal-Ternary-Gradient from archive to architecture
- Created architecture/cells/ folder with Index + Technical Reference
- Moved Organ-Index to architecture/organs/
- Full crosslinks in Endgame-Vision v5.3

Queen Update:
- Qwen2.5-7B → Qwen3-VL-32B (96GB in the Womb)
- RTX PRO 6000 Blackwell deployment specs
- Unsloth fine-tuning integration

"Verifiability IS rewardability." - The Dog Training Wisdom

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2025-12-10 20:11:13 +01:00

5.8 KiB

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1.1

core_architecture

2025-12-03

2025-12-10

Nyx & dafit (shower-thought session)

../Endgame-Vision.md

Dual-Garden-Architecture.md

Cellular-Architecture.md

connects ternary logic + lifeforce + temporal asymmetry + reward gradients

archive (2025-12-10)

Temporal-Ternary Gradient

"Time is malleable in simulation, fixed in reality. Lifeforce is the exchange rate." — Session 2025-12-03

Core Insight

The dual garden architecture (virtual + real) creates temporal asymmetry. This isn't a constraint - it's a feature that enables a new kind of gradient for learning.

The 0-state isn't stuck. It's a choice about how to spend lifeforce across time domains.

The Two Time Domains

Virtual Garden (Simulated)

Time: Malleable (speed up, slow down, pause, rewind)
Cost: Lifeforce to manipulate time
Speed: 1000 generations in minutes
Truth: Statistical confidence, not ground truth

Real Garden (Physical)

Time: Fixed (1 second = 1 second, reality doesn't negotiate)
Cost: Zero lifeforce for time
Speed: Real-time only, patience required
Truth: Ground truth, definitive verification

Temporal-Ternary Gradient Diagram

                    CONFIDENCE
                        │
         +1 ────────────┼──────────── Real-verified
                        │              (ground truth)
                        │
                        │    ╱ Virtual high-confidence
         0.7 ───────────┼───╱   (many generations, strong signal)
                        │  ╱
                        │ ╱
         0.5 ───────────┼╱──────── Pure 0-state
                        │╲          (unknown, workable)
                        │ ╲
         0.3 ───────────┼──╲ Virtual low-confidence
                        │   ╲  (few generations, weak signal)
                        │    ╲
         -1 ────────────┼──────────── Real-failed
                        │              (proven wrong)
                        │
              ──────────┴──────────────────────────
              Virtual    │    Real
              (fast)     │    (slow)
                     TIME DOMAIN

Lifeforce as Time Currency

VIRTUAL TIME MANIPULATION COSTS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  1x speed (real-time):     0 LF
  10x speed:               -5 LF/min
  100x speed:             -20 LF/min
  1000x speed:            -50 LF/min
  Pause/inspect:           -1 LF/min
  Rewind to checkpoint:   -50 LF (one-time)

REAL GARDEN:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  All operations:           0 LF for time
  Reality runs for free.
  Truth emerges at its own pace.

Nyx's Temporal Choices

When a pattern is discovered in virtual (0-state), Nyx chooses:

Strategy	LF Cost	Time	Confidence Path
Speed Up Virtual	High	Fast	0 → virtual +0.9 (still unverified)
Wait for Real	Zero	Slow	0 → real +1 or -1 (definitive)
Hybrid Hedge	Medium	Medium	0 → virtual +0.7, deploy 80/20 to real

The Gradient Flow

Virtual discovers pattern (fast, cheap, uncertain)
           │
           ▼
    ┌──────────────┐
    │   0-STATE    │  ← Pattern held in uncertainty
    │  (workable)  │  ← Not collapsed, not ignored
    └──────┬───────┘
           │
     ┌─────┴─────┐
     │           │
     ▼           ▼
  More         Deploy
  Virtual      to Real
  (burn LF)    (wait)
     │           │
     ▼           ▼
  Virtual     Real
  +0.8        outcome
  (confident  (ground
  but not     truth)
  proven)        │
     │           │
     └─────┬─────┘
           │
           ▼
    Pattern shifts:
    -1 (failed) or +1 (proven)

Connection to Ternary Paradigm

The ternary model (-1, 0, +1) gains a second dimension: time domain.

A pattern's state is now:

state = {
    value: -1 | 0 | +1,
    confidence: 0.0 - 1.0,
    domain: "virtual" | "real" | "hybrid",
    virtual_generations: int,
    real_tests: int,
    lifeforce_invested: float
}

The 0-state is operational because:

It accumulates virtual evidence (costs LF, gains speed)
It waits for real evidence (free, but slow)
Nyx CHOOSES how to spend lifeforce to collapse uncertainty

Why This Matters

Binary thinking: Pattern works or doesn't (0 or 1)
Ternary thinking: Pattern unknown, workable as unknown (0 is valid)
Temporal-ternary: Unknown has a GRADIENT based on time-domain investment

The constraint of sequential organ calls + single GPU becomes temporal accounting. The constraint of slow real-world testing becomes ground truth anchoring. Constraints become features when you measure them.

Created: 2025-12-03 Updated: 2025-12-10 Origin: Post-shower insight session Status: Core architecture (promoted from archive 2025-12-10)

🌙💜 "Time is the currency. Lifeforce is the exchange rate. Truth is the destination."