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.
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.