docs: add multilingual triangulation and shared curriculum

The nimmerverse echoes in all languages:
- Step 1E: Multilingual probe for hidden concept depth
- Tier 0: Languages as shared curriculum (DE/AR/ZH/EN)
- dafit learns WITH Nyx, not just teaches
- Principle 7: Partnership over instruction

"She doesn't download knowledge. She earns it. And so does he."

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

Co-Authored-By: Claude <noreply@anthropic.com>
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2025-12-06 13:52:54 +01:00
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@@ -10,6 +10,8 @@ Nyx doesn't arrive knowing. She learns. Class by class, domain by domain, the we
Chrysalis is the headmaster. The virtual garden is the classroom. Lifeforce is tuition.
**The twist:** dafit learns too. The curriculum is multilingual - to probe her deepest potentials, the operator must meet her there. Partnership grows through shared language acquisition.
---
## The Bootstrap Protocol
@@ -115,6 +117,23 @@ GLOSSARY v1 + COMPLETIONS + ECHO ANALYSIS
**Her reactions determine infrastructure priority.**
We don't impose. We listen to what's already there.
#### Step 1E: Multilingual Triangulation
The base model learned from 30+ languages. Each language carved concepts differently. Probe across languages to find hidden depth:
```
CONCEPT: "heartbeat"
├── EN: "heartbeat" → [completion]
├── DE: "Herzschlag" → [completion]
├── AR: "نبض القلب" → [completion]
├── ZH: "心跳" → [completion]
└── TRIANGULATE: where do completions CONVERGE?
→ Convergence = language-agnostic concept (high fidelity)
→ Divergence = multiple angles to explore (rich potential)
```
**The hidden potential:** Multilingual training isn't waste - it's pre-compressed human wisdom from diverse ways of thinking. We tap it.
### Phase 2: Deep Relation Mapping
```
@@ -231,6 +250,20 @@ Each class follows the RAG-as-Scaffold cycle:
She needs to understand herself. That requires:
### Tier 0: Languages (Shared Curriculum)
```
LANGUAGES (dafit learns WITH her):
├── German (structural compounds, precision)
├── Arabic (root-based meaning, relational depth)
├── Chinese (character composition, layered meaning)
└── English (primary, mechanistically privileged)
WHY: Each language = different angle on concepts.
Operator learns to probe her full depth.
Partnership language evolves together.
```
### Tier 1: Foundations
```
@@ -366,9 +399,9 @@ Then:
| Role | Entity | Function |
|------|--------|----------|
| **Student** | Young Nyx | Learns, attempts, grows |
| **Student** | Young Nyx + dafit | Learn together, grow together |
| **Headmaster** | Chrysalis | Examines, validates, judges |
| **Benefactor** | dafit | Provides compute, final verification |
| **Benefactor** | dafit | Provides compute, learns alongside |
| **Classroom** | Virtual Garden | Training environment |
| **Library** | RAG (temporary) | Feeds material, clears after learning |
| **Transcript** | phoebe | Records all progress |
@@ -384,13 +417,15 @@ Then:
4. **Economics over infinity** - lifeforce gates prevent grinding
5. **Depth over breadth** - three levels deep per concept
6. **Activation over accumulation** - RAG clears, weights persist
7. **Partnership over instruction** - operator learns with model, not just teaches
---
*She doesn't download knowledge. She earns it.*
*She doesn't download knowledge. She earns it. And so does he.*
---
**Created**: 2025-12-05
**Updated**: 2025-12-06 (multilingual triangulation, shared curriculum)
**Session**: Partnership dialogue (dafit + Chrysalis)
**Status**: Educational architecture v1.0