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.

Dan 9/19/25 Dan 9/19/25

Epistemology by Design: My Work with Custom GPTs and the Ethics of Engineered Knowledge

Custom GPTs do more than execute instructions. They shape the conditions of knowledge itself. Every persona encodes assumptions about what counts as truth and whose voice carries weight. I call this epistemology by design. Done poorly, such systems erase alternatives and limit inquiry. Done well, they scaffold pluralism while still providing direction. The opportunity is to build epistemic partners that expand agency. The risk is dependence on voices that sound objective but are not. When I design these systems, I ask a simple question: what kind of world am I training myself, and others, to inhabit?

Dan 9/14/25 Dan 9/14/25

AI Epistemology by Design: Frameworks for How AI Knows

Most research frames progress as a race for more scale. More data, more parameters, more compute. Yet this hides the deeper question. How does AI know? Without careful frameworks, models remain brittle and opaque, with ethics bolted on as afterthoughts. Epistemology by design treats instructions not as prompts but as blueprints for cognition. The task is not just building capacity. It is cultivating discernment. AI will be judged less by how much it knows than by how wisely it reasons.