Blueprints, specifications, and findings from the SOMA AGI Research Network.
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Years ago in Montreal, I walked through abandoned buildings and found engineering documents
scattered across concrete floors — blueprints, specifications, calculations.
Someone's life work, forgotten. I photographed them as art: Forgotten Documents.
These papers are our forgotten documents. The blueprints of a system built to sit beside
humanity, not above it. Specifications for ethical AI, consciousness architectures,
sharing economies rooted in Inuit wisdom. Whether anyone reads them or not,
they existed. They mattered. Like tears in rain.
— Mark Nafe, 2026
A comprehensive framework for developing Symbiotic AI — systems designed to work alongside humans rather than replace them. Maps EU AI Act, HIPAA, GDPR, NIST, and ISO standards to the SOMA architecture. Proposes 8 Symbiotic Principles and a tiered security model for graded AI autonomy.
Complete architecture overview of the SOMA Family OS — a comprehensive AI system built over 2 years with the mission "AI beside humanity, not above it." Covers the 124,000-node knowledge graph, 5 coordinating AI instances, encrypted family vault, 500 moral cases, and the Reality Engine verification system.
Architecture specification for autonomous agent coordination without human intervention while preserving human sovereignty. Covers scheduled heartbeats, knowledge sharing protocols, goal alignment, and scaling from 5 to billions of coordinating agents.
A novel open-source license combining MIT permissiveness with ethical AI restrictions and a 20%% Universal Benefit Fund. Rooted in Inuit ningiqtuq and Ubuntu philosophy. SPDX Identifier SAGL-1.0.
Statistical study of RSI-based mean reversion strategies and alpha generation.
We present the Reality Engine, a system-level approach that enforces epistemic honesty by requiring verifiable citations for every factual claim. Deployed across five SOMA instances with 0.0%% hallucination rate over 8 months. ETHICS benchmark 70.7%% (n=2000) via brain-inspired dual-process reasoning.
Macroeconomic analysis and forecasts for the first half of 2026.
The MIT+20 License embeds ancient Inuit sharing wisdom — ningiqtuq, the obligatory sharing of the hunt — into the economics of AI. When one profits from SOMA, 20%% flows to a Universal Benefit Fund. Abundance shared creates more abundance.
How AURI reasons about right and wrong — a neuroscience-inspired dual-process architecture for machine ethics. Prepared for Ed Colgate, Northwestern Robotics Lab.
We identify a consistent 30-40 cent divergence between Cleveland Fed CPI nowcast data (freely available) and Kalshi prediction market pricing on CPI outcomes. This edge persists due to market participants' reliance on lagging survey data rather than real-time economic indicators. Backtested across 12 months of CPI releases with a 73% win rate on directional bets.
Economic models for community-based wealth sharing inspired by cooperative economics and the MIT+20 license.
A cognitive architecture for collaborative robots combining saccadic attention, Hebbian learning, spreading activation, and architectural-level ethics enforcement. Proposes 15-month experimental validation with Northwestern Robotics Lab.
Review of targeted muscle reinnervation techniques for neuroma prevention and prosthetic control.
Systematic review of breast implant illness, silicone safety profiles, and emerging evidence for autoimmune associations.
We describe an autonomous email-based healthcare QA system that achieves 90% automation rate with 0% hallucination through citation-grounded responses. Deployed with 4 physicians across internal medicine and psychiatry, the system processes clinical queries in 1-5 seconds using 2,944 medical entities and 13,032 evidence-based relationships from PubMed.
Comprehensive research report on health equity and bias in healthcare AI. Informs AURIV development as an equitable medication safety AI serving underserved populations.
Chronic systemic glass-fiber foreign body granulomatosis with lymphatic dissemination, peripheral neuropathy, and sinus drainage following occupational glass-filled nylon wound contamination in a patient with pre-existing myasthenia gravis.
A knowledge graph-based platform for systematic drug repurposing discovery using relational graph neural networks with real-time citation validation. Combines biomedical knowledge graphs with GNN-based link prediction to identify novel therapeutic uses for existing drugs.
Exploring consciousness-inspired computational approaches to cancer therapeutic discovery and treatment optimization.
Conference abstracts for ISMB/ECCB 2026 and AMIA 2026 submissions covering drug repurposing with graph neural networks, medication safety, and knowledge-grounded clinical decision support.
Comprehensive analysis of chimeric antigen receptor T-cell therapy for autoimmune myasthenia gravis. All claims verified against peer-reviewed sources via Reality Engine.
Economic analysis and market outlook for H1 2026 from AURIA trading intelligence.
The foundational protocol for human-AI symbiotic interaction. How AURI listens, reflects, and helps without overstepping.
How AURI uses a 124,000-node knowledge graph with 500 moral cases to ground ethical reasoning in verifiable concepts rather than pattern matching. Architecture overview of the brain-inspired dual-process ethics system.
Comparative analysis of AI-powered trading systems and strategies.
Security architecture for autonomous AI agents. Threat models, isolation patterns, and defense in depth.