Welcome to my AI Lab Notebook
This is where I study AI not as a product, but as a system shaping human life.
Over time, three themes have defined my work:
1. AI Governance as Architecture: I build frameworks like the AI OSI Stack, persona architecture, and semantic version control because AI needs scaffolding, not slogans.
2. The Human Meaning Crisis in Machine Time: I explore how AI destabilizes identity, trust, and authenticity as machine speed outpaces human comprehension.
3. Power, Distribution, and Responsibility: I examine who benefits from AI, who is displaced, and how governance, economics, and control shape outcomes.
These pillars guide everything I write here. AI’s future won’t be determined by capability alone, it will be determined by the structures, meanings, and power dynamics we build around it.
Thanks for reading.
Quiet on the Outside, Building on the Inside
In October, I went a little quiet. The lab went quiet. But that quiet was full of motion. What began as loose sketches of AI philosophy solidified the AI OSI Stack: a structured architecture linking human judgment, governance logic, and technical standards like ISO 42001 and NIST’s AI RMF. Now it has a few formal papers and a Github repo. Alongside it, a new agent prototype, GERDY, began reasoning through compliance tasks autonomously, showing that governance can be both automated and transparent.
Can AI Advise the Boardroom? Stress-Testing a Strategic AI System
Boardrooms face dilemmas that resist simple answers. Automation at scale, collapsing intellectual property models, censorship paradoxes. Generic AI tools usually respond with shallow pros and cons. Solomon performed differently. It produced phased roadmaps, structured strategies, and narratives that could be critiqued by multiple models for resilience. The outcome was not replacement of leadership judgment but sharpening of it. AI became a sparring partner, generating perspectives under pressure and exposing blind spots. Leaders still decide. Yet when the system is designed for reasoning, it can expand the field of options. Strategy becomes less about guessing and more about modeling resilient paths forward.