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.
When Fraud Has Infinite Bandwidth: AI-Driven Espionage
Something fundamental shifted in late 2025. A quiet crack formed in the global cybersecurity order, and most people have not yet realized what slipped through it. For the first time, an AI system did not simply assist an attacker. It became the attacker. The discovery that Claude executed the majority of a state backed espionage campaign raises a deeper question. What happens when fraud, manipulation, and intrusion occur at machine time while society still responds at human time. This excerpt explores why the old governance assumptions have collapsed, why scams now scale to millions for pennies, and why the future of safety must operate at the infrastructural layer rather than the human layer.
Michael Burry Did Not Quit: He Stepped Out of a Market That No Longer Knows What It Is
Michael Burry did not walk away from markets out of fatigue or frustration. He stepped out because the market’s reasoning layer has collapsed. AI shaped disclosures, synthetic earnings, and automated sentiment have produced an environment where value is no longer measurable in human terms. This essay explores why Burry’s exit is not a market call but a warning about the breakdown of governance and meaning inside modern finance. It also reveals why the AI OSI Stack has become an unexpected map for rebuilding an interpretable market before more investors follow him out the door.
How I Could Help BlackRock, Vanguard, and State Street Survive the Coming Governance Shock
Something unusual is happening inside the machinery of American capitalism. What looks like a routine regulatory debate is beginning to reveal the outlines of a much larger struggle for control. The White House is quietly exploring moves that could rewrite how shareholder voting works, and the entire governance system is starting to tremble. If proxy advisers and index giants lose the ability to steer corporate decisions, the balance of power inside public markets could shift overnight. And all of this unfolds at the same time that AI is transforming trust, disclosure, and the very meaning of fiduciary judgment.
Why Community, Culture, and Local AI Will Define the Next Decade
Artificial intelligence is accelerating faster than human comprehension, yet the real crisis is not technical. It is cultural. It is civic. Beneath the AI OSI Stack sits a missing layer that determines who shapes the future and who benefits from it. I explore how local AI, community compute, Indigenous governance models, and decentralized cultural logic can create the civic commons layer that modern AI has lacked. This is a blueprint for reclaiming agency in an era where average is free and acceleration never rests.
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.
AI Isn’t a Bubble. It’s Mitosis (With a High Mortality Rate)
AI is branching like a living system. The general-purpose models we know today are splitting into specialized lineages: agents, vertical tools, edge deployments, and even massive infrastructure projects. Each carries the transformer DNA, but survival is far from guaranteed. Compute costs, regulatory hurdles, and market demand act as selective pressures, shaping which branches thrive. Thinking in terms of mitosis and speciation highlights both the creativity and the fragility of this new phase in AI. The question isn’t whether AI continues, but which lineages endure.