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.
Exploring Cognitive Architecture in the Age of Custom GPTs
Custom GPTs are moving from toys into infrastructure. History reminds us of symbolic systems that collapsed under rigidity. Today the risk is different. Novelty without reliability. The challenge is to discipline the architecture. Contracts, orchestration, and safeguards turn fragile models into durable frameworks. Cognitive architecture is less about raw power than about trust. The task is not whether artificial minds can be built. The task is whether they will be built with the same care we expect of institutions that govern our lives.
How People Are Using ChatGPT: Insights from the Largest Consumer Study to Date
A large study confirmed what many sensed. ChatGPT has moved from novelty to daily habit. People use it to write, to clarify, to think aloud. Yet adoption does not guarantee truth. Fluency can mask error. Repetition can bend meaning. The real lesson is not only that AI is widely used. It is that trust is fragile. Authority is not earned through scale but through reliability. AI is already in the room. What matters now is whether we learn to question its answers with the same intensity that we welcome its speed.