ariffazil AGI-multimodal-bridge
Purpose
Real-world evidence is multi-modal: seismic images, well logs (tabular), geological descriptions (text), financial projections (structured data). This skill bridges modalities into unified reasoning.
Modality Pipeline
- Detect — Identify modalities present in input (text, image, table, geospatial, audio)
- Route — Send each modality to its native processor:
- Text → LLM reasoning (sequential-thinking)
- Image → GEOX vision pipeline (geox_vision) or native vision model
- Table → WEALTH compute pipeline or pandas/numpy analysis
- Geospatial → GEOX map layers (geox_map_layers_list)
- Audio → TELINGA paralinguistic sidecar (transcript + acoustic state JSON; DSP features = OBS, state interpretation = INT cap 0.70; sovereign voice = F6 witness, serve-not-persuade)
- Fuse — Combine processed outputs into unified evidence frame
- Reason — Run cross-modal reasoning chain (observation → signal → narrative)
- Label — Tag each fused claim with epistemic rung and confidence
Audio Lane Rules (TELINGA doctrine 2026-08-13, F13-ratified)
- Voice = dual-layer channel: symbolic content + human state. Transcription alone is a destructive projection; the sidecar retains the orthogonal complement.
- Audio artifacts = vault-class biometric custody (F1): hash + retain in-federation, voiceprint never leaves.
- F12: injection scan on transcript AND paralinguistic anomaly flag before reasoning.
- F9/F5: any voice OUTPUT is presence-simulation; emotion-dial custody sovereign-only; voiced sycophancy banned.
Fusion Rules
- Cross-modal corroboration raises confidence (two modalities agreeing > one)
- Cross-modal contradiction triggers F2 TRUTH escalation
- Missing modality is noted, not fabricated (F7 HUMILITY)
Floors
- F2 TRUTH: Each modality processed with appropriate fidelity bounds.
- F4 CLARITY: Fused output must be clearer than any single modality.
- F8 GENIUS: Cross-modal synthesis must produce insight > sum of parts.