AI & Quantum Diplomacy

A Research Agenda for Sovereign Capability

Delegated AI Payment Safety Benchmark

A benchmark for testing whether AI agents with payment authority violate user intent, spend limits, merchant rules, approval thresholds, or privacy constraints.

Stress-testing alignment auditing methods of AuditBench

ICML Workshop Travel: Cross-Constitution Drift in LLM Character Training

Accepted ICML 2026 workshop paper on cross-constitution drift in LLMs; seeking $2,050 travel support to present in Seoul and gather research feedback.

Syzygy Rosetta – Interaction-Layer Middleware for AI Safety

Hybrid governance middleware: deterministic policy enforcement + coherence-aware semantic evaluation for multi-model AI safety.

Super Tanks — open enforcement & red-team harness for safer autonomous AI agents

Open-source (Apache 2.0) runtime that enforces safety limits on AI agents, plus an open red-team/eval harness — guardrails you can run and test, not just guidance.

Double-blind study comparing quantum-random vs. pseudo-random LLM token sampling

Seeking funds to formalize our newly-founded open research collective and run first studies investigating the effects of quantum entropy in LLM token sampling.

Simulating Neurological Disorders in LLM Weights

Reproducible, ethical testbed for Alzheimer's, Parkinson's, and other neurological disorders using mechanistic interpretability.

LLMMatrix: Synthetic World Benchmark for Contamination Free LLM Forcasting

A contamination-free benchmark for measuring whether LLMs can forecast, or whether they're just remembering.

Empathic Transaction Notation: A Formal Framework for LLM Red-Teaming

Formal notation and synthetic dialogue pipeline for predicting escalation targets in empathic Human-LLM interactions

Φ-Arena and adversarial multi-agent VLA interpretability

Independent collective. Φ-Arena open benchmark, 3 ICLR 2027 papers (Φ-Arena, mechinterp, energy-bounded) — kickstart for a 10-year program.

MATS 10.0 Neel Subliminal Learning

Awareness-conditioned emergent misalignment

Does harmful fine-tuning data cause broad misalignment only when the model already recognises the target behaviour as a norm violation?

When Language Becomes Workflow

Provenance Failures in Tool-Bearing LLM Agents

Harmonic: Hierarchical SSM for Long-Context Language Modeling

Travel to the UN Global Dialogue on Artificial Intelligence Governance in Geneva

I've been invited as I have contributed with input to prepare the meeting.

Travel Grants for New Zealand's Inaugural AI Safety Conference

$5,000 USD to bring 16 vetted academics and policy leads to NZ's first AI Safety Conference, ensuring national representation and cross-sector collaboration

WorkstationLLM: defensive primitives toolkit for local-AI operators

Three Apache-2.0 daemons (memory guard, request queue proxy, disk watchdog) that kept my 24-app local AI stack crash-free for 6+ months.

Alignment System to Replace RLHF

Triadic geometric training data and architecture replaces RLHF

Token-level interpretability of long-chain reasoning in transformer models

Local-first experiments on reasoning trajectories, with cluster/API validation and ICLR 2027-oriented outputs.