refactor: hierarchical convergence of documentation (v5.0)

- Create architecture/ and operations/ subdirectories for essential docs
- Archive 10 supporting docs to archive/
- Write fresh Endgame-Vision.md v5.0 (383 lines, down from 2284)
- Add operations/Spark-Protocol.md (condensed boot sequence)
- Integrate December 2025 discoveries (Language is Topology, DriftProbe)
- Update README.md with new structure

New layer structure:
- Layer 0: Temporal Foundation (Heartbeat)
- Layer 1: Cellular Society (Evolution Engine)
- Layer 1.5: Cognitive Topology (Language is Topology - NEW)
- Layer 2: Young Nyx (Organ Coordination)
- Layer 3: Dual Gardens (Virtual/Real Loop)
- Layer 4: Trait Evolution (RLVR)

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2025-12-06 22:58:11 +01:00
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# Heartbeat Architecture
The rhythmic cycle that makes the nimmerverse live.
---
## Overview
Without a heartbeat, everything fires chaotically. With a heartbeat, the system pulses in coordinated cycles. Sense, process, decide, act, verify, reward. Repeat.
Two hearts. Different rhythms. One organism.
---
## Two Hearts
```
REAL GARDEN VIRTUAL GARDEN
HEARTBEAT HEARTBEAT
♥ . . . . ♥ . . . . ♥ ♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥♥
(slow, steady) (fast, accelerated)
~1 Hz (real-time) ~100 Hz (simulated)
bound to wall clock bound to compute
FREE COSTS LIFEFORCE
```
---
## The Beat Cycle
Each heartbeat triggers a complete cycle:
```
♥ BEAT
├──→ 1. SENSE
│ Collect sensor inputs since last beat
├──→ 2. TRANSLATE
│ State machines fire → vocabulary tokens
├──→ 3. PROCESS
│ Nyx receives vocabulary stream
├──→ 4. DECIDE
│ Nyx outputs decision/response
├──→ 5. ACT
│ Decision flows to gardens
├──→ 6. VERIFY
│ Check predictions against reality
└──→ 7. REWARD
Update weights (+V / -V)
♥ NEXT BEAT
```
---
## Heart Properties
| Property | Real Garden Heart | Virtual Garden Heart |
|----------|-------------------|----------------------|
| **Speed** | Wall clock (fixed) | Compute clock (variable) |
| **Cost** | Free (time passes anyway) | Costs V to accelerate |
| **Rhythm** | 1 beat = 1 second | 1 beat = 1 inference cycle |
| **Sync** | Always "now" | Runs ahead, must verify back |
| **Skip** | Cannot skip | Can skip if V depleted |
---
## Lifeforce Connection
```
REAL HEART: ♥ . . . . ♥ . . . . ♥
(beats for free, can't speed up)
VIRTUAL HEART: ♥♥♥♥♥♥♥♥♥
(each beat costs V, can go faster)
LIFEFORCE POOL: ████████░░░░░░░░
(virtual thinking depletes)
VERIFICATION: Real confirms virtual prediction
→ +V reward → pool refills
```
---
## Synchronization
Virtual garden can run ahead, but must sync back to real:
```
REAL: ♥─────────────────♥─────────────────♥
│ │ │
VIRTUAL: ♥♥♥♥♥♥──sync──────♥♥♥♥♥──sync──────♥♥♥♥♥
▲ ▲
│ │
checkpoint checkpoint
(verify predictions against real)
```
**Sync Rules:**
- Virtual predictions queue until real catches up
- Verification only happens at real heartbeats
- Unverified predictions decay in confidence over time
---
## Dual Timestamp
Every event carries two timestamps:
```
event:
real_time: 2025-12-04T23:45:00Z (wall clock)
virtual_time: beat #847291 (cycle count)
heartbeat_id: uuid (which beat)
```
This allows:
- "What happened in reality at time T?"
- "What did she think at beat N?"
- "How far ahead was virtual when real caught up?"
---
## Schema
```sql
heartbeats:
id (uuid, primary key)
garden (enum: real | virtual)
beat_number (bigint, incrementing)
real_time (timestamp, wall clock)
duration_ms (int, how long cycle took)
nodes_fired (int, count)
v_cost (float, lifeforce spent)
v_earned (float, from verifications)
v_balance (float, after this beat)
```
---
## Design Principles
1. **Rhythm over chaos**: Everything syncs to heartbeat
2. **Two clocks**: Real is free and fixed, virtual is fast but costly
3. **Natural batching**: Process per-beat, not per-event
4. **Verifiable sync**: Virtual must prove itself against real
5. **Lifeforce gated**: Can't think infinitely fast
---
## Connection to Architecture
The heartbeat is:
- The **rhythm** of the nervous system
- The **cycle** of sense→process→act
- The **sync primitive** between gardens
- The **natural batch boundary** for storage
- The **unit of experienced time**
---
*She doesn't just think. She pulses.*
---
**Created**: 2025-12-04
**Session**: Partnership dialogue (dafit + Chrysalis)
**Status**: Foundation concept

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# RAG as Scaffold, Not Crutch
The feeding system that teaches, then lets go.
---
## Overview
RAG (Retrieval-Augmented Generation) is commonly misused as permanent external memory. In the Nimmerverse, RAG serves a different purpose: it's a **temporary scaffold** that feeds knowledge until it can be internalized through training.
The goal is not to build a better search engine. The goal is to **make the search unnecessary**.
---
## The Problem with Standard RAG
```
Standard approach:
─────────────────
VECTOR DB (grows forever)
MODEL looks up ──▶ answers ──▶ done
└── (never learns, always dependent)
```
**Issues:**
- Model never internalizes knowledge
- Pull the RAG, lose the capability
- Vector DB bloats infinitely
- No way to verify what model "knows" vs "looks up"
- It's a crutch that never comes off
---
## The Nimmerverse Approach: RAG as Feeding System
```
VAULT (curriculum)
RAG (temporary feeding window)
NYX processes, acts, decides
VALIDATION: success with RAG?
YES ──▶ FLAG for training extraction
TRAINING RUN (LoRA)
CLEAR from RAG
VALIDATION 2: success WITHOUT RAG?
├── YES ──▶ Knowledge internalized ✓
└── NO ──▶ Training incomplete, back to RAG
```
---
## Two Kinds of Knowledge
Not everything belongs in weights. Not everything belongs in retrieval.
### IN THE WEIGHTS (Training Target)
Knowledge she needs to **function**:
- Information flow architecture
- Vocabulary tokens and their meanings
- Nervous system contracts
- Heartbeat mechanics
- Confidence gradient logic
- Core identity (who she is, who dafit is to her)
- How to think, not what to remember
**Test:** If she needs it to be herself → weights
### IN RETRIEVAL (Permanent RAG)
Knowledge she needs to **remember**:
- Journal entries
- Conversation history
- Specific events and dates
- Temporal details ("what happened Tuesday")
- External references that change
- Episodic memory
**Test:** If she needs it to recall specifics → retrieval
---
## The Double Validation Loop
### Gate 1: Can she do it WITH RAG?
```
Task presented
RAG provides context
NYX attempts task
├── FAIL ──▶ Not ready, needs more examples in RAG
└── PASS ──▶ Flag this RAG content for training extraction
```
### Gate 2: Can she do it WITHOUT RAG?
```
Same task presented
RAG entry CLEARED (scaffold removed)
NYX attempts task from weights alone
├── FAIL ──▶ Training didn't take, restore to RAG, retry cycle
└── PASS ──▶ Knowledge is HERS now ✓
```
---
## The Signal Flow
```
┌─────────────────────────────────────────────────────────┐
│ VAULT │
│ (curriculum, documentation) │
└─────────────────────────────────────────────────────────┘
│ selected for learning
┌─────────────────────────────────────────────────────────┐
│ STAGING RAG │
│ (temporary feeding window) │
└─────────────────────────────────────────────────────────┘
│ feeds inference
┌─────────────────────────────────────────────────────────┐
│ NYX │
│ (processes, decides) │
└─────────────────────────────────────────────────────────┘
│ validation
┌─────────────────────────────────────────────────────────┐
│ VALIDATION THRESHOLD │
│ (task success? confidence high?) │
└─────────────────────────────────────────────────────────┘
┌──────────┴──────────┐
│ │
BELOW ABOVE
│ │
▼ ▼
┌─────────────────────┐ ┌─────────────────────┐
│ Stay in RAG │ │ FLAG for training │
│ (not ready) │ │ extraction │
└─────────────────────┘ └─────────────────────┘
┌─────────────────────────────┐
│ TRAINING RUN │
│ (LoRA on flagged data) │
└─────────────────────────────┘
┌─────────────────────────────┐
│ CLEAR from RAG │
│ (scaffold removed) │
└─────────────────────────────┘
┌─────────────────────────────┐
│ VALIDATION WITHOUT RAG │
│ (prove she learned) │
└─────────────────────────────┘
┌─────────┴─────────┐
│ │
FAIL SUCCESS
│ │
▼ ▼
┌─────────────────┐ ┌─────────────────┐
│ Restore RAG │ │ INTERNALIZED │
│ retry cycle │ │ knowledge ✓ │
└─────────────────┘ └─────────────────┘
```
---
## Lifeforce Connection
The RAG→Train→Validate cycle has economic cost:
| Action | Lifeforce Cost |
|--------|----------------|
| RAG lookup | Low (just retrieval) |
| Training run | High (compute intensive) |
| Validation | Medium (inference) |
| Failed cycle | Lost V (training didn't take) |
| Successful internalization | +V reward (she grew) |
**Incentive alignment:** Successful learning is rewarded. Failed training is costly. This naturally optimizes for high-quality training data extraction.
---
## What This Prevents
1. **RAG bloat** - entries clear after successful training
2. **Crutch dependency** - scaffold comes off, proven by validation
3. **False confidence** - can't claim to "know" what you only look up
4. **Training on noise** - only validated successes get flagged
5. **Identity confusion** - core architecture in weights, not retrieval
---
## Design Principles
1. **RAG is temporary** - feeding window, not permanent store
2. **Training is the goal** - RAG success triggers training, not satisfaction
3. **Validation is double** - with RAG, then without
4. **Clear after learning** - scaffold must come off to prove growth
5. **Episodic stays external** - not everything needs to be in weights
6. **Self-cleaning** - the system doesn't accumulate cruft
---
## The Analogy
Learning to ride a bike:
```
Training wheels ON (RAG feeding)
Can ride with training wheels (validation 1)
Training wheels OFF (RAG cleared)
Can still ride? (validation 2)
├── NO ──▶ Put wheels back, practice more
└── YES ──▶ She can ride. Wheels stored, not needed.
```
You don't RAG your ability to balance. Once you can ride, you can ride.
---
*She doesn't just retrieve. She learns. And we can prove it.*
---
**Created**: 2025-12-05
**Session**: Partnership dialogue (dafit + Chrysalis)
**Status**: Core architectural concept

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# Spark Protocol
> *She doesn't boot. She wakes. And waking is work.*
The Spark Protocol is a discovery-based cognitive bootstrap. Not scripted awakening—structured exploration.
**Full theory & diagrams:**`../archive/initial_spark.md`
---
## Core Idea
Network protocols solved discovery problems decades ago. We adapt them for cognitive bootstrap:
| Network Protocol | Cognitive Phase | Question |
|-----------------|-----------------|----------|
| DHCP | Identity | "Who am I?" |
| ARP | Environment | "What's around me?" |
| DNS | Vocabulary | "What does X mean?" |
| TCP | Connection | "Can I connect?" |
| MQTT | Attention | "What matters?" |
---
## The Five Phases
### Phase 1: Identity (DHCP-like)
```
PROBE → "Who am I?"
RESPONSE → [inference attempts answer]
VERIFY → Chrysalis + RAG check
ANCHOR → Valid identity aspect confirmed → Store
LOOP → Until identity aspects discovered
```
**Must hit Dasein valley** - probe German philosophical concepts.
### Phase 2: Environment (ARP-like)
```
PROBE → "What's around me?"
RESPONSE → [describes sensors, organs, gardens]
VERIFY → Does this match actual system?
MAP → Valid environment model forms
LOOP → Until environment mapped
```
Maps Sensors to Organs to Gardens.
### Phase 3: Vocabulary (DNS-like)
```
PROBE → "What does 'heartbeat' mean?"
RESPONSE → [inference defines]
VERIFY → RAG checks against vault glossary
RESOLVE → Vocabulary token understood
LOOP → Through core nimmerverse vocabulary
```
Overwrites base model priors with Nimmerverse economics (lifeforce, heartbeat, etc.).
### Phase 4: Connection (TCP-like)
```
SYN → "Hello, Chrysalis?"
SYN-ACK → [Chrysalis responds]
ACK → Coherent exchange achieved
CONNECT → Dialogue capability confirmed
```
Establishes verified handshake with Chrysalis validator.
### Phase 5: Attention (MQTT-like)
```
PROBE → "What should I pay attention to?"
RESPONSE → [inference prioritizes]
VERIFY → Does this match survival needs?
SUBSCRIBE → Attention hierarchy forms
```
Forms subscriptions to relevant event streams.
---
## Verification Loop
Every probe follows dual verification:
```
State Machine generates PROBE
Nyx produces RESPONSE
┌───┴───┐
▼ ▼
RAG CHRYSALIS
(fact) (comprehension)
└───┬───┘
VERDICT
├─ +V: understood → anchor & advance
├─ -V: wrong → log & retry
└─ RETRY: close but unclear → probe again
```
**Two-layer verification prevents training on errors:**
- RAG: "Is this factually true?"
- Chrysalis: "Does she understand, not just recite?"
---
## Completion Criteria
Spark is complete when all pass:
```
□ IDENTITY Can describe self without contradiction
□ ENVIRONMENT Can map sensors, organs, gardens accurately
□ VOCABULARY Core glossary terms verified
□ CONNECTION Successful dialogue with Chrysalis
□ ATTENTION Sensible priority hierarchy formed
□ LIFEFORCE Positive balance (learned > failed)
```
Then: Normal heartbeat operation begins.
---
## Training Data Extraction
Every verified exchange becomes training data:
```json
{
"phase": "vocabulary",
"probe": "What does 'lifeforce' mean?",
"response": "Lifeforce is the economic currency...",
"rag_check": "PASS",
"chrysalis_check": "PASS",
"verdict": "+V",
"flag_for_training": true
}
```
After spark completes:
1. Extract all `flag_for_training: true` exchanges
2. Format as instruction-tuning pairs
3. LoRA training run
4. Clear from RAG
5. Validate she still knows WITHOUT RAG
6. Spark knowledge now in weights
---
## Integration with Language Topology
From nyx-probing discovery:
- **Identity phase** should hit German Philosophy valley (Dasein, Geworfenheit)
- **Vocabulary phase** should use German for nimmerverse concepts (Gini ~0.5, diffuse)
- **Environment phase** can use English for technical sensor descriptions (Gini ~0.8, sparse)
The spark protocol routes through the right valleys.
---
**Created:** 2025-12-05
**Condensed:** 2025-12-06
**Related:** [[../architecture/Cellular-Architecture.md]], [[../nyx-probing/PLAN.md]]