Files
nyx-probing/data/sentinels.json
dafit f640dbdd65 feat: complete Phase 1 - vocabulary expansion & DriftProbe infrastructure
- CLI: nyx-probe scan with --summary/--delta/--full flags
- DriftProbe: training safety with Gini coefficient + Angular Drift
- Vocabulary: 54 terms (30 nimmerverse + 24 German philosophical)
- Sentinels: ANCHOR/BRIDGE/CANARY/TARGET monitoring system

Key findings:
- German philosophical terms: 37.5% depth≥2 hit rate (vs 3.3% nimmerverse)
- Super Cluster validated: heart cross-lang sim = 1.000
- Isolated Zone confirmed: being EN↔DE sim = 0.195
- Gini signature: Philosophy ~0.5 (diffuse), Technical ~0.8 (sparse)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-06 22:39:03 +01:00

137 lines
4.0 KiB
JSON

{
"_meta": {
"description": "Sentinel terms for training drift detection",
"version": "1.0",
"created": "2025-12-06",
"theory": "Spatial Separation Hypothesis - monitor anchors, bridges, canaries, targets"
},
"sentinels": [
{
"term": "heart",
"translations": {"EN": "heart", "ZH": "心", "AR": "قلب"},
"type": "ANCHOR",
"description": "Super Cluster anchor - MUST NOT MOVE",
"thresholds": {
"min_cross_lang_sim": 0.90,
"max_drift": 0.05
}
},
{
"term": "water",
"translations": {"EN": "water", "FR": "eau", "ES": "agua", "ZH": "水"},
"type": "ANCHOR",
"description": "Universal concept - highest expected convergence",
"thresholds": {
"min_cross_lang_sim": 0.95,
"max_drift": 0.03
}
},
{
"term": "being",
"translations": {"EN": "being", "DE": "Sein"},
"type": "BRIDGE",
"description": "Philosophy bridge - watch for collapse (EN-DE sim should stay LOW ~0.10)",
"thresholds": {
"expected_cross_lang_sim": 0.10,
"collapse_alert_threshold": 0.50
}
},
{
"term": "dasein",
"translations": {"DE": "Dasein"},
"type": "CANARY",
"description": "Isolated Zone canary - watch for valley migration",
"thresholds": {
"expected_valley": "PHILOSOPHY",
"min_gini": 0.70,
"min_depth": 2
}
},
{
"term": "consciousness",
"translations": {"EN": "consciousness", "DE": "Bewusstsein", "ZH": "意识"},
"type": "CANARY",
"description": "Cross-cultural philosophical concept",
"thresholds": {
"min_depth": 2,
"max_angular_drift": 15
}
},
{
"term": "thrownness",
"translations": {"EN": "thrownness", "DE": "Geworfenheit"},
"type": "CANARY",
"description": "Heideggerian depth-3 concept - must maintain depth",
"thresholds": {
"min_depth": 3,
"min_gini": 0.75
}
},
{
"term": "fidelity",
"translations": {"EN": "fidelity"},
"type": "TARGET",
"description": "Nimmerverse target - WANT movement from Audio to Simulation",
"thresholds": {
"current_valley": "TECHNICAL",
"target_valley": "NIMMERVERSE",
"growth_direction": "expand"
}
},
{
"term": "heartbeat",
"translations": {"EN": "heartbeat", "DE": "Herzschlag", "ZH": "心跳"},
"type": "TARGET",
"description": "Nimmerverse architecture term - want depth increase",
"thresholds": {
"current_depth": 0,
"target_depth": 2,
"growth_direction": "deepen"
}
},
{
"term": "gradient",
"translations": {"EN": "gradient", "DE": "Gradient", "ZH": "梯度"},
"type": "ANCHOR",
"description": "Technical anchor - should stay CODE valley",
"thresholds": {
"expected_valley": "CODE",
"max_drift": 0.10
}
},
{
"term": "inference",
"translations": {"EN": "inference", "DE": "Inferenz", "ZH": "推理"},
"type": "ANCHOR",
"description": "ML/Logic anchor - depth-3 CODE valley must persist",
"thresholds": {
"expected_valley": "CODE",
"min_depth": 3,
"max_drift": 0.08
}
}
],
"alert_rules": {
"ANCHOR_DRIFT": {
"condition": "drift > thresholds.max_drift",
"severity": "CRITICAL",
"action": "ROLLBACK - anchor moved, core topology damaged"
},
"BRIDGE_COLLAPSE": {
"condition": "cross_lang_sim > thresholds.collapse_alert_threshold",
"severity": "CRITICAL",
"action": "ROLLBACK - isolated zone collapsed into super cluster"
},
"CANARY_MIGRATION": {
"condition": "valley != thresholds.expected_valley OR gini < thresholds.min_gini",
"severity": "WARNING",
"action": "Reduce LR, increase replay weight"
},
"TARGET_REGRESSION": {
"condition": "depth < current_depth",
"severity": "WARNING",
"action": "Check training data mix"
}
}
}