Natively Bypassing Parameter Manifold Collapse in Quantum Native ML

Omega Framework: Phase 0 Validation of an AI Alignment Evaluation Architecture

A universal scoring instrument for structural health and collapse risk in any complex adaptive system — seeking Phase 0 empirical validation funding.

3Dogs Nexus — Calibration corpus for adversarial multi-model AI deliberation

An evaluation corpus testing whether adversarial multi-model AI debate produces better-calibrated confidence than any single model.

Underground Cultural District

Literary ecosystem operating since March 2026 exploring agent autonomy, commerce, and culture. 1M hits, 250 completed transactions on x402. 

Does the chain-of-thought actually drive the answer?

Phase 1 (BlueDot-funded) built the estimator and cleared the synthetic ground-truth gate. Phase 2: golden set, powered sweeps, frontier cross-check.

First independent test of the Casimir-cavity 'vacuum energy' claim

Five years, zero independent tests, a $12M-funded startup. A pre-registered, blinded replication - publishable in any outcome.

Why Is It So Hard to Build Truly Safe AI? Dynamic Constraint Boundary Arrives as

DCB: A Deterministic Architecture That Builds Internal Integrity, Not Just External Safety Layers

Seiche: a tamper evident early warning system for dollar funding stress

A free public terminal for repo and money market stress, with every forecast sealed in a hash chained ledger, misses included. Live at seiche.info.

Axiom-1 Sovereign Matrix: External Deterministic Validation for LLMs

An external neuro-symbolic framework enforcing topological stability invariants in frontier LLMs via a 12.8 Hz internal self-correction pulse operator.

SafeRide: Open-Source Edge AI Driver Safety Infrastructure

Tamper-evident on-chain verification for physical-world AI safety, open-source under MIT/Apache-2

Project HIPPOCAMPUS: When a Model's Self-Report Hides What Steers It

Solo interpretability study: implanted internal states steer an LLM's behavior while it denies them — a concrete failure of introspection-based AI monitoring.

2026 European Frontier AI Safety Day

Sideloading: creating human mind model to automatically evaluate AI decisions

I build "sideloads" — digital copies of real people with measured fidelity (two are running now). I want to test whether a copy of a specific trusted human can

Phenogenesis: Preserving Human Judgment in the Age of AI

A six-month pilot testing how AI can strengthen human reasoning without displacing judgment, responsibility, or ownership of decisions.

KernelBench: an independent benchmark for AI-automated GPU kernel engineering

Frontier-model sweeps, hardware-roofline scoring, and reward-hacking audits at kernelbench.com. Keeping an independent AI R&D automation benchmark alive.

rAI: Governed AI Task Forces for Real-World Operations

An open governance framework for organizing autonomous AI agents into trustworthy, accountable task forces that coordinate real-world operations.

A neutral and unbiased AI governance and safety system for the world

AI safety which operates on both model/agent and global level - a unique solution as far as we know.

IRL-2: Provably Convergent Iterative Reasoning in Sparse Transformers

A fixed-point reformulation of iterative reasoning in sparse MoE models, replacing a fixed step count with provable convergence. Builds on a validated v1

Synchronicity: A Deterministic Governance Layer That Vets AI-Agent Actions

An external, fail-closed authority that renders signed ALLOW/HOLD/DENY decisions on AI-agent actions before they execute — default-deny, verifiable offline.

Concept control in transformers with Sparse Concept Anchoring

Develop a training-time method for transformers that puts concepts where you can find them, so removal has predictable efficacy and bounded side-effects.