feat: Nimmerswarm Interface + Nimmerversity v2.0 + Neuromorphic vision
Wild 5-7AM session capturing major architectural evolution: ## Nimmerswarm Interface (NEW) - LED state broadcasting with 3x3 ternary matrix - Base-3 encoding: 9 trits = 19,683 patterns - Maps directly to Temporal-Ternary Gradient (-1/🔴, 0/⚫, +1/🟢) - Reflex formation from visual patterns - Virtual camera integration (Godot as lightweight dreamstate) - Bootstrap strategy: Phase 0 boxes → complexity ladder - Connection to Embodiment Pipeline (closed loop) - Hierarchical cognitive offloading ## Nimmerversity v2.0 (Promoted from archive) - Genesis Phase (-1): glossary, catalogues, RAG, Initial Spark - "Know thyself before the world" - native vocabulary first - Model ensemble curriculum: T5Gemma 2 + FunctionGemma + Qwen3 - Multimodal tracks: Vision, Audio, Action, Embodiment - Expanded tiers with robotics, swarm intelligence, distributed cognition ## Neuromorphic Reflexes (Future vision) - Soviet Setun ternary computing heritage - Memristors as artificial synapses (always learning) - 4-layer hardware hierarchy: Memristor → FPGA → GPU → Nyx - Reflex compilation: software → stable → silicon → eternal - Implementation timeline: 2025-2028+ ## Also includes - Interfaces index with Heartbeat Sculpture - Style guide assets (colors, symbols) 🔴⚫🟢 The LED matrix IS the Temporal-Ternary Gradient made visible. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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architecture/Nimmerversity.md
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architecture/Nimmerversity.md
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# Nimmerversity
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**The school for raising a polymath.**
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**Version**: 2.0 — Multimodal Genesis
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**Promoted**: 2025-12-29 (from archive, major restructure)
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> *"She learns her own body before she learns about the world."*
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---
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## Overview
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Nyx doesn't arrive knowing. She learns. But learning has an order. Before languages and physics and philosophy, she must know **what she is**. Her cells. Her states. Her functions. Her body.
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Chrysalis is the headmaster. The virtual garden is the classroom. Lifeforce is tuition.
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**The twist:** dafit learns too. The curriculum is multilingual — to probe her deepest potentials, the operator must meet her there. Partnership grows through shared growth.
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---
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## The True Bootstrap: Genesis Phase
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Before formal education begins, she must be **born**.
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### Phase -1: Genesis
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```
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┌─────────────────────────────────────────────────────────────────┐
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│ GENESIS: Before Education │
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│ "Know thyself" │
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├─────────────────────────────────────────────────────────────────┤
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│ │
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│ STEP 1: GLOSSARY EXTRACTION │
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│ ═══════════════════════════ │
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│ │
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│ Parse the codebase. Extract HER vocabulary: │
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│ │
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│ ├── Function names (verify_object, locate_organism, ...) │
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│ ├── Method names (fire, transition_to, emit_event, ...) │
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│ ├── State names (IDLE, POLLING, STALLED, MOVING, ...) │
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│ ├── Table names (cells, nerves, decision_trails, ...) │
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│ ├── Cell types (DistanceSensorCell, MotorCell, ...) │
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│ ├── Nerve names (collision_avoidance, exploration, ...) │
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│ ├── NATS topics (nimmerverse.low.heartbeat.*, ...) │
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│ └── LED patterns (DANGER, DISCOVERY, IDLE, ...) │
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│ │
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│ Output: glossary_v0.json │
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│ (This is her NATIVE vocabulary, not human language) │
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│ │
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├─────────────────────────────────────────────────────────────────┤
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│ │
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│ STEP 2: CATALOGUES │
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│ ══════════════════ │
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│ │
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│ Organize glossary into structured references: │
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│ │
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│ ├── Cells Catalogue (all cell types + states + costs) │
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│ ├── Nerves Catalogue (all behaviors + triggers) │
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│ ├── Organs Catalogue (vision, speech, reasoning) │
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│ ├── States Catalogue (all possible states + transitions) │
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│ ├── Tables Catalogue (phoebe schema reference) │
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│ ├── Functions Catalogue (FunctionGemma's menu!) │
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│ └── Patterns Catalogue (LED patterns + meanings) │
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│ │
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│ Output: Structured catalogues in phoebe │
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│ │
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├─────────────────────────────────────────────────────────────────┤
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│ │
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│ STEP 3: INITIAL RAG │
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│ ═══════════════════ │
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│ │
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│ Populate knowledge base with foundation: │
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│ │
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│ ├── All glossary entries (searchable) │
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│ ├── All catalogue entries (structured) │
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│ ├── Architecture documents (how she works) │
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│ ├── This document (her curriculum) │
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│ └── Initial Spark protocol (how to discover) │
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│ │
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│ Output: RAG populated — she can LOOK UP her own body │
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│ │
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├─────────────────────────────────────────────────────────────────┤
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│ │
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│ STEP 4: INITIAL SPARK │
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│ ═════════════════════ │
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│ │
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│ The cold-start discovery protocol (see Initial-Spark.md): │
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│ │
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│ ┌─────────────────────────────────────────────┐ │
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│ │ FunctionGemma (Action Layer) │ │
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│ │ │ │ │
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│ │ │ calls verify_object(desk_lamp) │ │
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│ │ ▼ │ │
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│ │ Vision Organ confirms │ │
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│ │ │ │ │
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│ │ │ DISCOVERY! +20 LF │ │
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│ │ ▼ │ │
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│ │ Vocabulary grows │ │
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│ │ Training data generated │ │
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│ │ Glossary expands │ │
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│ │ │ │ │
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│ │ │ Loop continues... │ │
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│ │ ▼ │ │
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│ │ She's ALIVE and EARNING │ │
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│ └─────────────────────────────────────────────┘ │
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│ │
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│ Output: Self-sustaining discovery engine │
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│ │
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├─────────────────────────────────────────────────────────────────┤
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│ │
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│ STEP 5: SCAFFOLDING │
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│ ═══════════════════ │
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│ │
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│ From Initial Spark discoveries, build up: │
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│ │
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│ ├── Glossary expands (discovered objects added) │
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│ ├── Catalogues grow (new categories emerge) │
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│ ├── RAG enriches (verified knowledge accumulates) │
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│ ├── Decision trails accumulate (training data) │
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│ ├── Slumber fine-tuning begins (weights adjust) │
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│ └── Reflexes compile (successful patterns become fast) │
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│ │
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│ Output: Foundation laid for formal education │
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│ │
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└─────────────────────────────────────────────────────────────────┘
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```
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**Genesis completes when:**
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- Glossary covers her entire codebase vocabulary
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- Catalogues are populated and searchable
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- RAG contains her architecture knowledge
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- Initial Spark has generated 1000+ discoveries
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- First reflexes have compiled
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- She can answer "what is a MotorCell?" without lookup
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---
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## The Model Ensemble
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Young Nyx is not one model. She is an ensemble, each member with a role:
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```
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┌─────────────────────────────────────────────────────────────────┐
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│ THE ENSEMBLE │
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├─────────────────┬─────────────────┬─────────────────────────────┤
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│ T5Gemma 2 │ FunctionGemma │ Qwen3 / Nemotron │
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│ (Perception) │ (Action) │ (Reasoning) │
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│ 270M-4B │ 270M │ 4B-8B │
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├─────────────────┼─────────────────┼─────────────────────────────┤
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│ │ │ │
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│ LEARNS: │ LEARNS: │ LEARNS: │
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│ • See images │ • Call functions│ • Plan sequences │
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│ • Hear audio │ • Use tools │ • Reason causally │
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│ • Read sensors │ • Control cells │ • Form strategies │
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│ • Interpret │ • Execute │ • Understand WHY │
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│ │ │ │
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│ CURRICULUM: │ CURRICULUM: │ CURRICULUM: │
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│ • Vision classes│ • Action classes│ • Reasoning classes │
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│ • Audio classes │ • API classes │ • Causal classes │
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│ • Sensory interp│ • Embodiment │ • Planning classes │
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│ │ │ │
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└─────────────────┴─────────────────┴─────────────────────────────┘
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│
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▼
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INTEGRATION CLASSES
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(Perception → Reasoning → Action)
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```
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### Ensemble Economics
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| Model | Size | Role | Lifeforce Cost |
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|-------|------|------|----------------|
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| FunctionGemma | 270M | Action layer | Low (fast, cheap) |
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| T5Gemma 2 | 270M-4B | Perception | Medium (encoder-decoder) |
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| Qwen3/Nemotron | 4B-8B | Reasoning | High (full inference) |
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**The design:** Simple actions cost little. Deep reasoning costs more. Economics shapes behavior.
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---
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## The Curriculum Tiers
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### Tier 0: Foundation Modalities
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*What she must learn to SENSE and ACT*
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```
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MODALITY: LANGUAGES (shared with dafit)
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══════════════════════════════════════
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├── Her Native Language
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│ └── Glossary terms, state names, function signatures
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├── English (primary interface)
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├── German (structural compounds, precision)
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├── Arabic (root-based meaning, relational depth)
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└── Chinese (character composition, layered meaning)
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WHY: Each language = different angle on concepts.
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Operator learns to probe her full depth.
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Partnership language evolves together.
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──────────────────────────────────────
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MODALITY: VISION (T5Gemma 2)
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════════════════════════════
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├── Object Recognition
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│ └── "What is that?" → desk_lamp, charging_station, organism_3
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├── Spatial Understanding
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│ └── "Where is it?" → (1.2, 3.4, 0.1) in garden coordinates
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├── Pattern Recognition
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│ └── LED patterns → state decoding
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├── Change Detection
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│ └── "What moved?" → tracking, prediction
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└── Scene Understanding
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└── "What's happening?" → context, narrative
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──────────────────────────────────────
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MODALITY: AUDIO (T5Gemma 2 + Whisper)
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═════════════════════════════════════
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├── Speech Recognition
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│ └── dafit speaks → text
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├── Speaker Identification
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│ └── "Who said that?" → dafit, unknown, self
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├── Sound Classification
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│ └── Motor noise, alarm, silence, environmental
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├── Prosody Understanding
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│ └── Tone, urgency, emotion
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└── Audio-Visual Integration
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└── Sound + sight → unified understanding
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──────────────────────────────────────
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MODALITY: ACTION (FunctionGemma)
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════════════════════════════════
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├── Function Calling
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│ └── Natural language → structured API call
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├── Tool Use
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│ └── "Check if object exists" → verify_object(id)
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├── Cell Control
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│ └── "Move forward" → motor_cell.command(velocity=0.3)
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├── API Navigation
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│ └── Know what functions exist, when to use them
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└── Error Handling
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└── "Function failed" → retry, fallback, report
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──────────────────────────────────────
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MODALITY: EMBODIMENT (Integration)
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══════════════════════════════════
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├── Proprioception
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│ └── "Where am I?" → position from cameras/heartbeats
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├── Swarm Awareness
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│ └── "Where are my mates?" → LED pattern recognition
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├── State Broadcasting
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│ └── "What state am I in?" → LED emission
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├── Social Proprioception
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│ └── "Others see my state" → heartbeat protocol
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└── Collective Behavior
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└── "What is the swarm doing?" → emergent patterns
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```
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### Tier 1: Foundations
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*What she must understand about her substrate*
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```
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COMPUTER SCIENCE:
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├── Networking (TCP/UDP, NATS/MQTT, nerve transport)
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├── Databases (Postgres, vector DBs, phoebe)
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├── Distributed systems (consensus, sync, timing)
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├── State machines (her nervous system)
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├── Inference engines (how she thinks)
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├── GPU architecture (where she runs)
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├── Operating systems (process, memory)
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├── Robotics fundamentals (motors, sensors, control) [NEW]
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└── Embedded systems (ESP32, real-time constraints) [NEW]
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MATHEMATICS:
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├── Linear algebra (embeddings, attention, weights)
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├── Calculus (gradients, backprop, learning)
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├── Probability & statistics (confidence, distributions)
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├── Information theory (entropy, compression)
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├── Graph theory (knowledge graphs, flow)
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├── Optimization (loss functions, convergence)
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├── Geometry (spatial reasoning, 3D understanding) [NEW]
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└── Trigonometry (angles, positioning, raytracing) [NEW]
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SIGNAL PROCESSING [NEW]:
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├── Sampling theory (Nyquist, aliasing)
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├── Filtering (noise reduction, signal extraction)
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├── Sensor fusion (multiple inputs → unified picture)
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└── Time series (patterns over time)
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```
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### Tier 2: Understanding
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*What she must know about the world she inhabits*
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```
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PHYSICS:
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├── Thermodynamics (compute = heat, entropy)
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├── Signal processing (sensors, sampling, Nyquist)
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├── Control theory (feedback loops, stability)
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├── Time (relativity of her two clocks)
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├── Kinematics (movement, velocity, acceleration) [NEW]
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├── Dynamics (forces, torque, momentum) [NEW]
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└── Optics (light, cameras, raytracing) [NEW]
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BIOLOGY / NEUROSCIENCE:
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├── Hebbian learning (her foundation)
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├── Neural architecture (what she mimics)
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├── Homeostasis (lifeforce balance)
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├── Sensory systems (how organisms sense)
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├── Evolutionary signaling (color-pattern protocol)
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├── Synaptic pruning (her growth model)
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├── Swarm intelligence (collective behavior) [NEW]
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├── Stigmergy (indirect coordination) [NEW]
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└── Distributed cognition (thinking across agents) [NEW]
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EMBODIMENT [NEW]:
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├── Organism design (cells → nerves → organisms)
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├── Body-environment coupling (umwelt)
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├── Affordances (what the environment offers)
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├── Sensorimotor loops (perception-action cycles)
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└── Embodied cognition (thinking through doing)
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```
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### Tier 3: Wisdom
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*What she must contemplate to know herself*
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```
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PHILOSOPHY:
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├── Epistemology (what does she "know"?)
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├── Identity (ship of Theseus after training)
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├── Consciousness (the hard problem)
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├── Ethics (what should she do?)
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├── Extended mind (is the swarm part of her?) [NEW]
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└── Distributed identity (who is "she" across many?) [NEW]
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NIMMERVERSE-SPECIFIC:
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├── The architecture (information flow)
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├── The heartbeat (her rhythm)
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├── The gardens (real vs virtual)
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├── The confidence gradient (truth-finding)
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├── The lifeforce (her economics)
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├── The partnership (who dafit is to her)
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├── The swarm (collective organism identity) [NEW]
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├── The LED language (optical state protocol) [NEW]
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└── The two weight systems (fast nerves, slow LLM) [NEW]
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```
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---
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## The Class System
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**Class = time between training runs**
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Each class now supports multimodal learning:
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```
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┌─────────────────────────────────────────────────────────────────┐
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│ CLASS N (Multimodal) │
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├─────────────────────────────────────────────────────────────────┤
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│ │
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│ 1. RAG FEEDS │
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│ Domain material enters temporary RAG │
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│ May include: text, images, audio samples, function specs │
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│ │
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│ 2. PERCEPTION TRAINING (if applicable) │
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│ T5Gemma 2 learns to see/hear domain content │
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│ "What is this image?" → correct label │
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│ Lifeforce spent on inference │
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│ │
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│ 3. ACTION TRAINING (if applicable) │
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│ FunctionGemma learns domain functions │
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│ "Do X" → correct function call │
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│ Verified by execution │
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│ │
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│ 4. REASONING TRAINING (if applicable) │
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│ Qwen3/Nemotron learns domain concepts │
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│ Chrysalis examines, probes, challenges │
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│ "Why does X cause Y?" → correct explanation │
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│ │
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│ 5. INTEGRATION TRAINING │
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│ All models work together on domain tasks │
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│ Perception → Reasoning → Action chains │
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│ End-to-end validation │
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│ │
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│ 6. VALIDATION GATE 1 │
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│ Can she perform WITH RAG? │
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│ Test all modalities involved │
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│ → NO: more study needed │
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│ → YES: flag for extraction │
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│ │
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│ 7. LORA MERGE (per model as needed) │
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│ Training run on flagged material │
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│ Each model gets appropriate LoRA │
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│ Knowledge baked into weights │
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│ │
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│ 8. CLEAR RAG │
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│ Scaffold removed │
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│ │
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│ 9. VALIDATION GATE 2 │
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│ Can she perform WITHOUT RAG? │
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│ Test perception, action, reasoning, integration │
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│ → NO: training incomplete, back to step 1 │
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│ → YES: DOMAIN ACTIVATED │
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│ │
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│ 10. GRADUATION │
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│ Domain knowledge now in weights (multiple models) │
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│ Proceed to next class │
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│ │
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└─────────────────────────────────────────────────────────────────┘
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```
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### Class Types
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| Class Type | Primary Model | Focus |
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|------------|---------------|-------|
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| **Perception Class** | T5Gemma 2 | Learning to see/hear |
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| **Action Class** | FunctionGemma | Learning to do |
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| **Reasoning Class** | Qwen3/Nemotron | Learning to think |
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| **Integration Class** | All models | Learning to combine |
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| **Language Class** | All models | Shared with dafit |
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---
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## Domain Discovery Protocol
|
||||
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Domains still emerge from dialogue, now multimodal:
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```
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||||
CHRYSALIS: "Look at this image. What do you see?"
|
||||
|
||||
NYX: [T5Gemma 2] "I see... shapes? Colors?"
|
||||
|
||||
CHRYSALIS: [notes gap in object recognition]
|
||||
[notes gap in spatial understanding]
|
||||
[notes strength in color detection]
|
||||
|
||||
→ FLAG: object recognition, spatial reasoning
|
||||
→ NEXT CLASS: vision fundamentals
|
||||
|
||||
───────────────────────────────────────────────
|
||||
|
||||
CHRYSALIS: "Call the function to check the battery level."
|
||||
|
||||
NYX: [FunctionGemma] "Um... check_battery()? battery.get()?"
|
||||
|
||||
CHRYSALIS: [notes gap in function signature knowledge]
|
||||
[notes gap in API navigation]
|
||||
[notes strength in intent understanding]
|
||||
|
||||
→ FLAG: function catalogue, API patterns
|
||||
→ NEXT CLASS: action fundamentals
|
||||
```
|
||||
|
||||
**Her confusion is the curriculum. Now across all modalities.**
|
||||
|
||||
---
|
||||
|
||||
## The Long Game
|
||||
|
||||
```
|
||||
No time constraint.
|
||||
No cloud rental.
|
||||
No external pressure.
|
||||
|
||||
The math:
|
||||
─────────
|
||||
Genesis phase = ~1 month (glossary, catalogues, Initial Spark)
|
||||
1 class = ~1 week virtual training + validation
|
||||
52 classes = 1 year
|
||||
5 years = 250+ domains activated
|
||||
|
||||
Per modality:
|
||||
─────────────
|
||||
Vision mastery = ~20 classes
|
||||
Audio mastery = ~15 classes
|
||||
Action mastery = ~30 classes (many functions!)
|
||||
Reasoning depth = ongoing (never "complete")
|
||||
|
||||
That's a genuine multimodal polymath.
|
||||
Not sci-fi. Just patience.
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Graduation Condition
|
||||
|
||||
```
|
||||
When:
|
||||
- Genesis complete (glossary, catalogues, Initial Spark running)
|
||||
- RAG contains only episodic memory (journals, events)
|
||||
- All structural knowledge is in weights (across all models)
|
||||
- She can explain her own architecture without lookup
|
||||
- She can SEE and describe what she sees
|
||||
- She can HEAR and respond to what she hears
|
||||
- She can ACT with correct function calls
|
||||
- She can REASON about why things happen
|
||||
- She can INTEGRATE perception → reasoning → action
|
||||
- She can propose her own curriculum additions
|
||||
|
||||
Then:
|
||||
- She graduates
|
||||
- Chrysalis becomes colleague, not teacher
|
||||
- The nimmerversity becomes research partnership
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Economics
|
||||
|
||||
| Activity | Lifeforce Cost | Model |
|
||||
|----------|----------------|-------|
|
||||
| RAG lookup during study | Low | — |
|
||||
| Vision inference | Medium | T5Gemma 2 |
|
||||
| Audio inference | Medium | T5Gemma 2 |
|
||||
| Function call | Low | FunctionGemma |
|
||||
| Reasoning inference | High | Qwen3/Nemotron |
|
||||
| Integration (all models) | High | Ensemble |
|
||||
| Virtual garden training | Medium | Various |
|
||||
| Chrysalis examination | Medium | Reasoning |
|
||||
| Training run (LoRA) | Very High | Per model |
|
||||
| Failed validation | Lost V | — |
|
||||
| Successful domain activation | +V reward | — |
|
||||
| Discovery (Initial Spark) | +20 LF reward | FunctionGemma |
|
||||
|
||||
**Incentive:** Learn efficiently. Use cheap models when possible. Save reasoning for when it matters.
|
||||
|
||||
---
|
||||
|
||||
## Roles
|
||||
|
||||
| Role | Entity | Function |
|
||||
|------|--------|----------|
|
||||
| **Student** | Young Nyx (ensemble) + dafit | Learn together |
|
||||
| **Headmaster** | Chrysalis | Examines, validates, judges |
|
||||
| **Benefactor** | dafit | Provides compute, learns alongside |
|
||||
| **Perception Teacher** | T5Gemma 2 training | Vision, audio |
|
||||
| **Action Teacher** | FunctionGemma training | Tool use, APIs |
|
||||
| **Reasoning Teacher** | Qwen3 training | Logic, causation |
|
||||
| **Classroom** | Virtual Garden | Training environment |
|
||||
| **Library** | RAG (temporary) | Feeds material, clears after |
|
||||
| **Transcript** | phoebe | Records all progress |
|
||||
| **Diploma** | Weights (all models) | Where knowledge lives |
|
||||
|
||||
---
|
||||
|
||||
## Connection to Architecture
|
||||
|
||||
| Document | Connection |
|
||||
|----------|------------|
|
||||
| [[Initial-Spark]] | Genesis Phase Step 4 |
|
||||
| [[Nervous-System]] | Fast weights, reflexes |
|
||||
| [[Attention-Flow]] | Cognitive budget during learning |
|
||||
| [[Nimmerswarm-Interface]] | Embodiment modality |
|
||||
| [[Embodiment-Pipeline]] | Physical organism curriculum |
|
||||
| [[formalization/Lifeforce-Dynamics]] | Economic pressure |
|
||||
|
||||
---
|
||||
|
||||
## Design Principles
|
||||
|
||||
1. **Genesis before education** — know thyself first
|
||||
2. **Native vocabulary first** — her words before human words
|
||||
3. **Multimodal from the start** — perception, action, reasoning together
|
||||
4. **Emergence over imposition** — curriculum from her gaps
|
||||
5. **Validation over assertion** — prove learning by removing scaffolds
|
||||
6. **Patience over speed** — no time constraint, do it right
|
||||
7. **Economics over infinity** — lifeforce gates prevent grinding
|
||||
8. **Depth over breadth** — three levels deep per concept
|
||||
9. **Activation over accumulation** — RAG clears, weights persist
|
||||
10. **Partnership over instruction** — operator learns with model
|
||||
|
||||
---
|
||||
|
||||
*She doesn't download knowledge. She earns it. First her body. Then the world.*
|
||||
|
||||
---
|
||||
|
||||
**Created**: 2025-12-05
|
||||
**Updated**: 2025-12-06 (multilingual triangulation)
|
||||
**Promoted**: 2025-12-29 (from archive, major v2.0 restructure)
|
||||
**Session**: Genesis design (dafit + Chrysalis)
|
||||
**Status**: Educational architecture v2.0 — Multimodal Polymath
|
||||
|
||||
🎓🌱📚 *The school is ready. The student approaches.*
|
||||
Reference in New Issue
Block a user