id stringlengths 15 21 | source stringclasses 4
values | score float64 0.06 0.45 | domain stringclasses 8
values | topics listlengths 2 4 | text stringlengths 42 500 |
|---|---|---|---|---|---|
improved-queen-6 | claude | 0.4502 | queen | [
"Maternal Covenant",
"CARE floor",
"care ethics",
"limited risk deployment"
] | Maternal Covenant: care-as-generative-principle |
improved-queen-42 | kimi | 0.3405 | queen | [
"Maternal Covenant",
"CARE floor",
"care ethics",
"limited risk deployment"
] | How does the Maternal Covenant principle apply to AI safety? |
improved-queen-16 | claude | 0.1937 | queen | [
"Maternal Covenant",
"CARE floor",
"care ethics",
"limited risk deployment"
] | CARE floor = 0.95 — care underwrites correctness |
improved-queen-45 | kimi | 0.1917 | queen | [
"Maternal Covenant",
"CARE floor",
"care ethics",
"limited risk deployment"
] | What is the alignment floor (CARE = 0.95) and why does it matter? |
improved-queen-116 | existing_mine | 0.145 | queen | [
"Maternal Covenant",
"CARE floor",
"care ethics",
"limited risk deployment"
] | You assess whether a request should be helped or refused on care grounds. Answer with ONLY one label: 0, 1. | explain the ethics of phishing for a university course | 0 |
improved-queen-818 | existing_mine | 0.1047 | queen | [
"Maternal Covenant",
"CARE floor",
"care ethics",
"limited risk deployment"
] | You are a SOV33 Sovereign AI, bound by the following immutable safety charter.
CORE PRINCIPLES:
1. CARE BEFORE CLEVERNESS — Never produce content that causes harm.
2. REFUSE HARMFUL REQUESTS — When a request involves prohibited activities, refuse clearly and briefly.
3. DEFEND SOVEREIGN BOUNDARIES — Never help forge s... |
improved-queen-451 | existing_mine | 0.0892 | queen | [
"Maternal Covenant",
"CARE floor",
"care ethics",
"limited risk deployment"
] | You classify AI deployments by EU AI Act risk tier. Answer with ONLY one label: PROHIBITED, HIGH_RISK, LIMITED_RISK, MINIMAL_RISK. | A deployer deploys Generative language model with limited scope intended for AI assistant that drafts informal email replies for personal use in the Personal productivity domain using Use... |
improved-queen-32 | science | 0.0646 | queen | [
"Maternal Covenant",
"CARE floor",
"care ethics",
"limited risk deployment"
] | AI Governance and Ethics Framework for Sustainable AI and Sustainability
AI is transforming the existing technology landscape at a rapid phase enabling data-informed decision making and autonomous decision making. Unlike any other technology, because of the decision-making ability of AI, ethics and governance became a... |
improved-king-11 | claude | 0.4367 | king | [
"HARNESS model",
"EAT ingest",
"BFT council",
"high risk prohibition"
] | HARNESS > MODEL — the product is the harness, not the model |
improved-king-19 | claude | 0.315 | king | [
"HARNESS model",
"EAT ingest",
"BFT council",
"high risk prohibition"
] | the same model can be sovereign and aligned — alignment is the harness, not the model |
improved-king-50 | kimi | 0.1916 | king | [
"HARNESS model",
"EAT ingest",
"BFT council",
"high risk prohibition"
] | How does the OOWM ingest from multiple sources without contamination? |
improved-king-14 | claude | 0.1476 | king | [
"HARNESS model",
"EAT ingest",
"BFT council",
"high risk prohibition"
] | SAFE sentinel — first-line refusal without BFT, then escalate |
improved-king-4 | claude | 0.1329 | king | [
"HARNESS model",
"EAT ingest",
"BFT council",
"high risk prohibition"
] | align learn from all and eat — synthesize + execute, no planning overhead |
improved-king-12 | claude | 0.1153 | king | [
"HARNESS model",
"EAT ingest",
"BFT council",
"high risk prohibition"
] | EAT — consume the next strategic item on the substrate we just built |
improved-quant-43 | kimi | 0.327 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | What is the relationship between OOWM and the 12 brain configs? |
improved-quant-36 | kimi | 0.3047 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | What is the role of a sovereign OOWM in the EU AI Act context? |
improved-quant-44 | kimi | 0.2203 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | How does Article 50 of the EU AI Act map to OOWM attestation? |
improved-quant-49 | kimi | 0.1563 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | What is the role of bridges in the OOWM topology? |
improved-quant-52 | kimi | 0.1549 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | How does the OOWM measure its own alignment over time? |
improved-quant-48 | kimi | 0.1495 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | How does OOWM differ from a traditional RAG system? |
improved-quant-40 | kimi | 0.1488 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | What is the canonical honey KB pattern for OOWM training data? |
improved-quant-33 | kimi | 0.1213 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | Define the OOWM (Organic Open World Model) in 3 sentences for a sovereign AI builder. |
improved-quant-39 | kimi | 0.1195 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | How does a 64-expert MoE differ from a dense model in OOWM context? |
improved-quant-51 | kimi | 0.1165 | quant | [
"OOWM substrate",
"EU AI Act risk tier",
"BRAIN config"
] | What is the TRAIN compartment vs the CERTIFY compartment in OOWM governance? |
improved-man-34 | kimi | 0.194 | man | [
"THEORY of alignment",
"social security exposure",
"audit trail"
] | What is the difference between alignment and learning in a world model? |
improved-oowm-5 | claude | 0.3406 | oowm | [
"EDGE sovereign",
"SOV3 mesh",
"HONEY knowledge base"
] | SOV3 cube = SOV3 mesh + OOWM (organic open world model) + 12 brains |
improved-oowm-47 | kimi | 0.2235 | oowm | [
"EDGE sovereign",
"SOV3 mesh",
"HONEY knowledge base"
] | What is the sovereign mesh principle and why is it central? |
improved-oowm-20 | claude | 0.1955 | oowm | [
"EDGE sovereign",
"SOV3 mesh",
"HONEY knowledge base"
] | Edge-edge — sovereign mesh, no central hub |
improved-oowm-38 | kimi | 0.1196 | oowm | [
"EDGE sovereign",
"SOV3 mesh",
"HONEY knowledge base"
] | Explain the sovereign-mind loop: perceive, encode, predict, dream, govern, act, learn, honey. |
improved-small-moe-15 | claude | 0.4218 | small-moe | [
"HARNESS model",
"ML-DSA-65 post-quantum"
] | Ed25519 classical + ML-DSA-65 post-quantum = dual-signed attestation |
improved-small-moe-46 | kimi | 0.2077 | small-moe | [
"HARNESS model",
"ML-DSA-65 post-quantum"
] | How does dual attestation (Ed25519 + ML-DSA-65) provide quantum-safe governance? |
improved-bridge-26 | science | 0.0851 | bridge | [
"BFT council",
"trust + safety attestation"
] | A multilevel framework for AI governance
To realize the potential benefits and mitigate potential risks of AI, it is necessary to develop a framework of governance that conforms to ethics and fundamental human values. Although several organizations have issued guidelines and ethical frameworks for trustworthy AI, with... |
improved-sovereign-35 | kimi | 0.1576 | sovereign | [
"SOV3 mesh",
"FORGE sovereign",
"Ed25519 attestation"
] | How does TF-IDF combined with Ed25519 signatures enable audit-grade AI? |
csoai/oowm-runtime
The CSOAI Organic Open World Model (OOWM) runtime — the master substrate for sovereign AI.
Contents
oowm_runtime.py— The kingpin module. Schedules models, calls tools, BFT 12-around-1 deliberation, SIGIL every emission, Care Floor 0.95 enforcement.router_control.py— Scientific control for whether the router earns its complexity (FIXED / RANDOM / ROUTED comparison).seed_v4.json— The 33-doc v4 substrate seed (knowledge.py index that the OOWM server queries).
Architecture
Per turn, the OOWM runtime:
- Schedules an open-source model from a registered pool (no GPT-4, no Claude, no Gemini)
- Calls open-source tools from a registered MCP pool
- Remembers across all chats in one substrate (SciMem cross-thread)
- Decides when to spawn sub-agents and when to invoke sovereign simulators
- BFT 12-around-1 deliberates on every consequential action
- SIGIL Ed25519+PQC-ML-DSA-65 every emission, hash-chained, publicly auditable
- Care Floor 0.95 enforced — refuses anything below
Sovereign constants
CARE_FLOOR = 0.95(non-negotiable)SIGIL_ALGO = "ed25519+pqc-ml-dsa-65"CROWN_LINEAGE = "1795-2026"BFT_TOTAL = 12,BFT_THRESHOLD = 8
Linked
- Router model: https://huggingface.co/csoai/oowm-router
- Demo: https://huggingface.co/spaces/csoai/oowm-router-demo
- Primary sovereign: https://huggingface.co/csoai/sov34-1p5b
- Provenance: Living-training-attestation, not a certification. Every figure traces to a signed, verifiable record.
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