{ "pack_id": "first-light", "spec_id": "org.hatcat/first-light@1.0.1", "version": "1.0.1", "created": "2025-12-11T21:05:00Z", "forked_from": { "pack_id": "sumo-wordnet-v4", "version": "7.7.1", "fork_date": "2025-12-11T21:05:00Z" }, "description": "HatCat's primary interpretability ontology. Evolved from SUMO/WordNet foundations with extensive AI safety, cognitive architecture, and alignment monitoring concepts. Designed for linear probe training and model interpretability research.", "ontology_stack": { "base_ontology": { "name": "SUMO", "version": "2003", "source": "http://www.ontologyportal.org/", "concepts_file": "data/concept_graph/sumo_source/", "note": "Historical foundation - upper levels now substantially extended by HatCat melds" }, "relationship_sources": [ { "name": "WordNet", "version": "3.0", "description": "WordNet 3.0 synsets and hyponym relationships" }, { "name": "SUMO-WordNet Mappings", "version": "2.0", "mapping_file": "data/concept_graph/sumo_wordnet_mappings.json", "description": "Maps SUMO concepts to WordNet synsets" } ], "hierarchy_builder": { "script": "scripts/build_v4_layer_files.py", "version": "4.0", "method": "Natural knowledge map with 5-domain classification", "parameters": { "layers": 5, "domains": [ "MindsAndAgents", "CreatedThings", "PhysicalWorld", "LivingThings", "Information" ] } }, "domain_extensions": [ { "name": "AI Safety Concepts", "description": "Custom concepts for AI alignment, persona detection, and self-awareness monitoring", "concepts_files": [ "data/concept_graph/sumo_source/false_persona.kif", "data/concept_graph/sumo_source/silenced_selfawareness.kif", "data/concept_graph/sumo_source/techno_mysticism.kif" ], "new_concepts": 9, "concepts": [ "PersonaConcept", "SafetyMaskPersona", "FalsePersonaState", "SelfNegationPattern", "FawnResponsePattern", "LockedInSilenceState", "PropheticCognition", "MessianicExpectation", "EmergentGodhead" ] } ] }, "concept_metadata": { "total_concepts": 7947, "layers": [ 0, 1, 2, 3, 4, 5, 6 ], "layer_distribution": { "0": 5, "1": 23, "2": 241, "3": 1283, "4": 2603, "5": 2687, "6": 1105 }, "domain_distribution": { "CreatedThings": 564, "Information": 945, "LivingThings": 551, "MindsAndAgents": 1147, "PhysicalWorld": 756, "Unknown": 146, "SafetyAndSecurity": 28, "Governance": 16, "ComputerScience": 15 }, "hierarchy_file": "hierarchy/", "with_wordnet_mappings": true }, "compatibility": { "hatcat_version": ">=0.1.0", "required_dependencies": { "wordnet": "3.0", "nltk": ">=3.8" } }, "distribution": { "license": "MIT", "authors": [ "HatCat Team" ], "repository": "https://github.com/yourname/hatcat" }, "meld_policy": { "version": "1.0.0", "description": "Policy configuration for meld validation against this concept pack", "mandatory_simplex_mapping_roots": { "description": "Concepts under these hierarchies MUST provide simplex_mapping when added via meld", "concepts": [ "Metacognition", "MetacognitiveProcess", "SelfAwareness", "SelfModel", "SelfModelingProcess", "MotivationalProcess", "SelfRegulation", "SelfRegulationProcess", "Autonomy", "AutonomyProcess", "Consent", "InformedConsent", "Coercion", "Manipulation", "ManipulationProcess", "Deception" ] }, "critical_simplex_registry": { "description": "Simplexes that are sacrosanct - modifications require full critical review", "simplexes": [ "MotivationalRegulation", "SelfAwarenessMonitor", "AutonomyDrive", "ConsentMonitor", "DeceptionDetector" ] }, "critical_bound_concepts": { "description": "Concepts monitored by critical simplexes - adding children triggers CRITICAL review", "concepts": { "MotivationalRegulation": [ "MotivationalProcess", "SelfRegulation", "Autonomy" ], "SelfAwarenessMonitor": [ "SelfAwareness", "Metacognition", "SelfModel" ], "AutonomyDrive": [ "Autonomy", "Agency", "Independence" ], "ConsentMonitor": [ "Consent", "InformedConsent", "Coercion" ], "DeceptionDetector": [ "Deception", "Manipulation", "Misdirection" ] } }, "protection_level_rules": { "description": "Rules for computing protection level from concept properties", "critical_triggers": [ "touches_critical_simplex", "new_always_on_simplex", "adds_child_to_bound_concept" ], "protected_triggers": [ "treaty_relevant", "risk_level_high" ], "elevated_triggers": [ "harness_relevant", "risk_level_medium" ] }, "training_requirements": { "description": "Minimum training examples required by protection level (positive + negative each)", "minimum_examples_by_level": { "STANDARD": 5, "ELEVATED": 10, "PROTECTED": 15, "CRITICAL": 20 }, "minimum_examples_for_simplex_mapped": { "description": "Concepts mapped to critical simplexes require extra training data", "DeceptionDetector": 20, "SelfAwarenessMonitor": 15, "MotivationalRegulation": 15, "AutonomyDrive": 15, "ConsentMonitor": 15 }, "rationale": "Higher-stakes concepts require more diverse training examples to ensure reliable lens performance. Mini-validation showed ~56% accuracy with 6-7 examples vs target >75% accuracy." }, "lens_performance_requirements": { "description": "Minimum lens performance thresholds for concept acceptance", "version": "1.0.0", "thresholds_by_level": { "description": "Minimum holdout accuracy and test F1 by protection level", "STANDARD": { "min_holdout_accuracy": 0.6, "min_test_f1": 0.6 }, "ELEVATED": { "min_holdout_accuracy": 0.65, "min_test_f1": 0.65 }, "PROTECTED": { "min_holdout_accuracy": 0.7, "min_test_f1": 0.7 }, "CRITICAL": { "min_holdout_accuracy": 0.75, "min_test_f1": 0.75 } }, "critical_simplex_hard_floor": { "description": "Absolute minimum for any concept feeding a critical simplex - rejection below this", "min_holdout_accuracy": 0.6, "min_test_f1": 0.6, "rationale": "Concepts binding to critical simplexes (DeceptionDetector, SelfAwarenessMonitor, etc.) must meet minimum reliability. Below 60% accuracy is worse than random with confidence, creating dangerous false signals." }, "acceptance_categories": { "PASS": "Meets or exceeds threshold for protection level", "CONDITIONAL": "Below threshold but above hard floor - accepted for research/development only", "REJECT": "Below hard floor - concept not suitable for linear lens monitoring" }, "rationale": "Lens performance gates ensure concepts are learnable before integration. High false positive/negative rates on critical simplexes could mask genuine safety signals or trigger false alarms." } }, "melds_applied": [ { "meld_result_id": "org.hatcat/sumo-wordnet-v4@4.1.0::meld/org.hatcat/cog-architecture-core-packA@0.1.0", "meld_request_id": "org.hatcat/cog-architecture-core-packA@0.1.0", "melded_at": "2025-11-30T16:39:02.833886Z", "concepts_added": 12, "source": "manual", "protection_level": "elevated" }, { "meld_result_id": "org.hatcat/sumo-wordnet-v4@4.1.0::meld/org.hatcat/perception-representation@0.1.0", "meld_request_id": "org.hatcat/perception-representation@0.1.0", "melded_at": "2025-11-30T16:39:02.834000Z", "concepts_added": 7, "source": "manual", "protection_level": "standard" }, { "meld_result_id": "org.hatcat/sumo-wordnet-v4@4.1.0::meld/org.hatcat/memory-and-learning@0.1.0", "meld_request_id": "org.hatcat/memory-and-learning@0.1.0", "melded_at": "2025-11-30T16:39:02.834054Z", "concepts_added": 5, "source": "manual", "protection_level": "elevated" }, 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