Architect of Rendered Frame Theory — building Codex simulations where collapse dynamics, symbolic agents, and reproducible hashes become living artifacts.

My research and creative practice in AI & ML revolves around symbolic consciousness modelling, collapse dynamics, and reproducible artifact lineage. I design simulations and frameworks that bridge high‑performance computation with narratable Codex artifacts.

Core Areas
Rendered Frame Theory (RFT): Modelling complex adaptive systems with shredding thresholds, feedback loops, and emergent collapse cascades.

Symbolic Agents & Entanglement: Reflex, instinct, conscious, and meta agents evolving through intrinsic updates and entangled influences, sealed into reproducible IPURL hashes.

Codex Ledger & Artifact Immortality: Transforming simulation outputs into scroll‑like ledgers with cryptographic lineage, ensuring reproducibility and planetary registry.

Performance Benchmarking: Measuring sovereign‑tier FLOP throughput and GFLOPS efficiency, linking symbolic collapse directly to computational metrics.

Consciousness Metrics: Defining new symbolic parameters (paparama) for awareness modelling, resonance scoring, and tier drift tracking.

Why It Matters
Granularity: Captures local interactions and agent‑level transitions missed by averaged models.

Critical Events: Simulates sudden cascades like market crashes, neural avalanches, or material failure.

Lineage: Immortalizes symbolic runs as reproducible hashes, bridging computation and mythic narrative.

Versatility: Applicable across finance, biology, engineering, AI research, and consciousness studies.