🦉 SOV33 One-Liner

SOV33 is a sovereign Open World Emergence Model — a governed substrate with its own trainable weights (not a wrapper, not a frontier-model claim).

12 Sovereign Pillars work as specialist workers around 1 large center (12-around-1). Inside each pillar: MoE (4 experts) + MOM (3 model families).

Every response is gated by care-floor 0.95, Article 0, and 12 Pillars. Then Ed25519-signed for audit-grade provenance.

BFT-33 council (23/33 quorum) binds every decision. Memory is SWAP-persistent — survives model changes.

Not a T-param foundation model. Not AGI. A different capability class: sovereign, governed, auditable.

43/43 E2E green. 37 launch pages. 18GB disk free. 4-week pivot plan to sovereign model at LM scale.

1. WE OWN WEIGHTS — sovereign brain 0.6B Qwen3 + LoRA (87.54% accuracy), world model 12.7M params (learns 1.11→0.51)
2. WE PROVE IT — Triangle 2.3× faster, 12-around-1 189-500× faster, governance 1.00 on 33 prompts
3. WE'RE NOT WRAPPED — sovereign tokenizer, sovereign brain, sovereign world model, sovereign memory

• 37 SOV33 launch pages (live, mobile-responsive)
• 23+ API endpoints (all returning 200)
• 43/43 E2E tests passing
• 9/10 sovereign brain wins on sovereign topics
• 189-500× speedup over single OWEM LARGE

1. Governance FIRST — care-floor 0.95 + Article 0 BEFORE any model call
2. Ed25519 SIGIL on every response — audit-grade by default
3. SWAP-persistent memory — survives model changes

1. Sovereign Brain 1B (50 GPU-hr Kaggle)
2. Mamba-2 sovereign attention (10 GPU-hr)
3. 4 sovereign experts (16 GPU-hr)
4. World model v2 fully trained (5 GPU-hr)

Total: ~83 GPU-hr Kaggle T4. Target release: 30 Jul 2026.