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 9/26/25 Dan 9/26/25

The Warning from Deutsche Bank: What Survives After the Hype?

Deutsche Bank has warned that the U.S. economy is being held aloft by AI capital spending. Billions are flowing into data centers, GPUs, and infrastructure, creating a temporary economic lift. Yet these gains are less about AI services and more about the labor of construction and deployment. Markets are already dangerously overexposed, with projections of an $800 billion revenue shortfall by 2030. Baidu’s Robin Li has gone so far as to predict that 99 percent of AI firms will not survive. The question is: what happens when this wave of investment slows, and what remains after the hype fades?