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.
The Work That Found Me
In the rapidly evolving field of AI governance, the need for transparent, accountable structures has never been more urgent. So here’s a little about my journey and how it’s shaping how AI systems are governed, and why it matters so much to me. From the earliest sparks of an idea to a full-fledged framework, my work is about more than just building systems — it’s about ensuring that technology serves humanity, not the other way around. In this post, I reflect on my personal journey, the values that drive me, and where I hope to take this work in the future.
Preserving Trust in Language in the Age of AI
AI generates language faster than humans can absorb. The risk is not only misinformation but erosion of meaning itself. Words like sustainable or net zero can be bent quietly until they no longer serve their original purpose. To protect meaning, I propose the idea of a transparent tool called Semantic Version Control. Language must be treated as shared infrastructure, with its evolution logged and visible. The goal is not to freeze words. The goal is to keep their meaning contested in public, not captured in silence.