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.
When Therapy-Tech Fails the Trust Test
I was approached by a therapy-tech startup that offered little more than polished surfaces and vague promises. It lacked safeguards, clarity, or mission. It reminded me of reporting on the AI mental health boom, where enthusiasm often outpaces evidence. The problem is not investment but intimacy without responsibility. Warmth without reciprocity is not care. Therapy demands safeguards before it demands scaling. Trust cannot be outsourced to polish. It must be designed into the foundation.