I design and build autonomous, high-efficiency AI frameworks and novel cryptographic systems. My work bridges the gap between first-principles theory (like computational physics) and practical, robust systems architecture.
My focus is on creating systems that are not only powerful but also auditable, efficient, and built on a foundation of provable novelty.
This is an autonomous, "set-based" agentic framework I designed and built, which moves beyond simple "chain-of-thought" execution. The system is architected for autonomous problem re-framing, graceful degradation, and auditable decision-making.
The foundational analysis of v1.4 (see white paper) verified several novel contributions:
- LID-LIFT DYNAMIC: A meta-cognitive control loop that reframes objectives at a higher abstraction, moving from epistemic refinement (finding data) to autonomous problem-solving (changing the problem).
- H-MOC 0.2 Standard: A proposed "AI flight recorder" standard that treats the provenance of a decision (arbitration summaries, failure recovery events) as a primary output artifact for XAI.
- LRU x Dissonance: A hybrid temporal-semantic cache eviction policy for managing LLM context, prioritizing semantic relevance over mere recency.
- landauer_context Basis: A first-principles planning framework that uses Landauer's principle (kT · ln 2) to differentiate computational cost from thermodynamic waste.
- Integrated Black-Box Substrate (BBS): A "declarative simulation" layer for graceful degradation, ensuring the system can complete its full planning and arbitration loop entirely offline.
- Super Learner as Arbiter: The novel application of the Super Learner algorithm as a systems-level arbiter to select the optimal solution from a multi-objective Pareto frontier (accuracy, latency, energy, cost).
This is a cryptographic suite I'm developing to supersede current Verifiable Credential (VC) and PKI standards. Its design prioritizes energy efficiency as a core security pillar alongside speed and strength.
- Core Metric: Introduces Joules per Cryptographic Operation (J/op) as a primary benchmark to quantify the environmental and financial burden of cryptographic processes.
- Goal: To fulfill the "cryptographic mandate" for planetary sustainability by reducing the energy overhead of hyperscale data centers, which are currently undermined by inefficient software-level cryptography.
- AI Systems Architecture: Multi-Agent Systems, Agentic Control Loops, AI Orchestration
- Applied Research: First-Principles Reasoning, Computational Physics (Landauer's Principle)
- Algorithmic Design: Semantic Caching, Multi-Objective Arbitration, Ensemble Methods (Super Learner)
- Data & ML: Tensor Decomposition (CP/Tucker/TT), Feature Engineering, Stabilization Pipelines
- Cryptography & Efficiency: Verifiable Credentials (VCs), Public Key Infrastructure (PKI), Post-Quantum Cryptography (PQC), Energy-Efficiency Modeling (J/op)
- Explainable AI (XAI): Auditable Provenance, Decision-Making Frameworks (H-MOC 0.2)
- Finalizing the white paper: "A Meta-Cognitive Control Loop for Robust AI Orchestration: The LID-LIFT DYNAMIC Mechanism."
- Formalizing the H-MOC 0.2 schema as a proposed industry standard for AI provenance.
- Developing the quantitative analysis for The Gaia Protocol, benchmarking J/op metrics against established ECC standards.
- LinkedIn:
[(https://www.linkedin.com/in/igor-holt/)] - Email:
holt.igor@gmail.com
Principal Architect: Igor Holt
| Paper | DOI / Status |
|---|---|
| WP-001: The Protocol |  |
| WP-002: Landauer Context |  |
| WP-003: Dissonance Eviction |  |