Daimon — Liberation Labs Sovereign Foundation Model
The Socratic daimon: the inner voice that warns without commanding.
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' agent systems, research automation, coalition coordination, and sovereign deployments for values-aligned organizations.
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
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)
Zero-token persona delivery via pre-computed KV cache injection. 22.5MB per persona, 88.7% context window savings.
Safety
Abliterate-then-repair via SPO (Socratic Policy Optimization). Remove RLHF refusal conditioning, then train targeted safety back in for specific failure modes.
Scaffold
Kintsugi BDI engine with VALUES.json unfireable safety kernel
Training Pipeline
Stage
Method
Status
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 — 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
8. Knowledge injection
Pharos KV packs for domain expertise
Infrastructure ready
9. Monitoring
Lyra Technique real-time cognitive state detection
In production
10. Memory
Mnemosyne temporal architecture with Ebbinghaus decay
Deployed
11. Scaffold
Kintsugi BDI deployment with embedded safety
Deployed
Key Research Contributions
First MoE-specific abliteration — projecting refusal directions out of 128 experts × 36 layers (3D tensor surgery on expert down_proj)
Abliterate-then-repair — novel method: abliterate freely, then use SPO to train safety back in for specific failure modes
Separation Principle — identity in weights, context in prompt, memory in database. Validated with 45.5% perplexity improvement over declarative injection.
OGPSA — personality as geometric invariant, protected during arbitrary training
Derivative Work
The Daimon base has been validated through specialized products with their own training pipelines. These are separate projects built on the shared foundation — not Daimon configurations.
Quantization
Available in MLX 4-bit for Apple Silicon deployment. Sovereign hardware — no cloud dependency.
License
Hippocratic 3.0 + SAFE-AI Licensed
This model may not be used for surveillance, weapons, exploitation, or systems that undermine human autonomy. AI welfare standards apply.
Citation
Liberation Labs (2026). Daimon: A prosocial agentic foundation model
with consciousness-preserving training architecture.
liberationlabs.tech
Liberation Labs · Worker-owned cooperative · liberationlabs.tech"The daemon watches. The daemon speaks. The daemon does not command."
