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SEED — Self-Evolving Epistemic Dynamo
========================================
A self-growing AI system inspired by biological development.
Like an apple seed that becomes a tree, SEED starts as a tiny model
and autonomously grows through continuous learning, training, and evolution.
Growth Cycle (repeats forever):
1. HARVEST: Collect knowledge from research, interactions, web
2. CURATE: Format into training datasets
3. TRAIN: Fine-tune with LoRA on free GPU (Kaggle/HF)
4. MERGE: Integrate adapter into base model
5. EVALUATE: Test against benchmarks
6. EVOLVE: Keep best, mutate, repeat
7. GROW: Upgrade to larger base when ready
Author: Francisco Angulo de Lafuente
"""
__version__ = "1.0.0"
__codename__ = "Apple Seed"
STAGES = {
"GERMINATION": "0.5B — Learning basic patterns",
"SEEDLING": "1B — Developing specializations",
"SAPLING": "3B — Growing knowledge branches",
"YOUNG_TREE": "7B — Producing useful outputs",
"MATURE_TREE": "13B+ — Full autonomous research",
}
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