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 9/23/25 Dan 9/23/25

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.

Dan 9/15/25 Dan 9/15/25

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.