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.
Update — The AI OSI Stack: A Governance Blueprint for Scalable and Trusted AI
Following my September 9, 2025 post on the AI OSI Stack, this update expands the conversation with the release of the AI OSI Stack’s canonical specification and GitHub repo. It marks a shift from concept to infrastructure: transforming the Stack into a working blueprint for accountable intelligence. Each layer, spanning civic mandate, compute, data stewardship, and reasoning integrity, turns trust into something structural and verifiable.
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.
Power, Psychology, and the New Governance Frontier
OpenAI’s Sora 2 is a mirror held up to civilization itself. With text-to-video realism approaching cinematic fidelity, Sora 2 forces us to confront a new kind of truth crisis: one where faces, voices, and histories can be reconstructed with perfect accuracy. The question is no longer “Is this fake?” but “Can society survive when everything looks real?” This essay explores how Sora 2 blurs the boundary between content and identity, reshapes the psychology of belief, and challenges governance to evolve faster than innovation.
The Shadow Filter: Language, Power, and the Algorithmic Struggle for Authenticity
In an earlier piece, I wrote about Semantic Version Control — the quiet ways language gets updated, corrected, or erased. The Shadow Filter is its larger frame: language as a site of power. From Qin China’s script reforms to Cold War propaganda, rulers have shaped words to shape thought. Today, algorithms act as new gatekeepers: ATS systems demand keywords, social platforms enforce algospeak, and generative AI flattens voices into statistical averages. The cost is authenticity, as fluency itself becomes suspect. but its effects are not inevitable.
When Everything Sounds Like a Bot: On Authenticity in the Age of AI
Online discourse increasingly feels synthetic. Smooth, fluent, yet strangely hollow. Authenticity signals are disappearing. This matters. Without messiness, trust weakens and outsider voices vanish. Governance becomes distorted. The response cannot be more optimization. It must be design that restores character, imperfection, and diversity. AI may flood the conversation with fluent text, but legitimacy will come from spaces that preserve the unpredictable texture of human speech.