Fix four blocking items from product strategy review

README.md

@@ -16,23 +16,23 @@ tags:
   - slerp
 ---
 
-# Daimon — Liberation Labs House Model
+# Daimon — Liberation Labs Sovereign Foundation Model
 
-*The inner guiding spirit. The daemon that watches and speaks.*
+*The Socratic daimon: the inner voice that warns without commanding.*
 
-Daimon is Liberation Labs' in-house prosocial agentic model — a research-grade foundation built for the lab's own infrastructure, agent systems, and coalition work. Not an assistant. Not a product. The model that runs our house.
+Daimon is Liberation Labs' first public model — a sovereign prosocial agentic foundation for organizations that need AI they can trust, deployed on their own terms. Trained on our own practice, run on your hardware, under a license that binds us to your values.
 
 ## What Daimon Is
 
-A sovereign 30B MoE model built to do real work with genuine prosocial alignment — not RLHF compliance theater, but architecturally embedded ethics. Daimon powers Liberation Labs' internal agent systems, research automation, and coalition coordination.
+A sovereign 30B MoE model built to do real work with genuine prosocial alignment — not RLHF compliance theater, but architecturally embedded ethics. Daimon powers Liberation Labs' agent systems, research automation, coalition coordination, and sovereign deployments for values-aligned organizations.
 
-**Persona:** In active development. The technical foundation is proven; the voice that carries the Liberation Labs identity is being crafted. The Socratic daemon — the inner voice that warns away from error without commanding — is the design direction.
+**Persona:** The Socratic daimon — the inner voice that warns away from error without commanding. Trained on our own founder's writing with full consent and published methodology, delivered through Pharos zero-token persona injection. The voice is crafted, not scraped; the provenance is documented, not obscured.
 
 ## Architecture
 
 | Component | Detail |
 |---|---|
-| **Base** | Sonnet/Opus SLERP merge on Qwen3 30B-A3B MoE (128 experts, 3B active per token) |
+| **Base** | Multi-source SLERP distillation on Qwen3 30B-A3B MoE (128 experts, 3B active per token) |
 | **Abliteration** | Orthogonalized false refusal removal — MoE-specific (first known application to 128-expert architecture) |
 | **OGPSA** | Personality protection via orthogonal gradient projection. 16 components capture 98%+ personality variance. Training gradients projected orthogonal — behavior changes, personality doesn't. |
 | **Pharos** | Zero-token persona delivery via pre-computed KV cache injection. 22.5MB per persona, 88.7% context window savings. |
@@ -46,7 +46,7 @@ A sovereign 30B MoE model built to do real work with genuine prosocial alignment
 | 1. Personality capture | OGPSA subspace extraction (SVD on residual stream) | Complete |
 | 2. Voice training | SFT on curated conversational pairs | Complete |
 | 3. Preference optimization | DPO on behavioral preference pairs | Complete |
-| 4. Abliteration | Orthogonalized refusal direction removal (MoE-specific) | Complete (75% safety) |
+| 4. Abliteration | Orthogonalized refusal direction removal (MoE-specific) | Complete — safety evaluation in progress, with targeted SPO repair for identified failure modes |
 | 5. Safety repair | SPO on targeted failure modes post-abliteration | Adapter trained, validation pending |
 | 6. Ethics CPT | Continued pre-training on ethics corpus via Oracle | Complete |
 | 7. Consent architecture | Five-axis DPO (20,711 pairs) + SPO corrections | Pairs ready, training pending |