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.

Security Isn’t an Upsell: Microsoft, Windows 10, and the Compliance Theater of Forced Backups

Security Isn’t an Upsell: Microsoft, Windows 10, and the Compliance Theater of Forced Backups

Microsoft’s attempt to bundle Windows 10 security updates with its OneDrive service feels eerily familiar. As The Verge reported, European regulators pushed back, forcing the company to offer updates without cloud lock-in. This echoes the antitrust battles of the 1990s, when Microsoft’s dominance was tested for leveraging its operating system to force adoption of other products. Today, the tactic is subtler but the pattern is the same: essential safeguards framed as bargaining chips.

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The Shadow Filter: Language, Power, and the Algorithmic Struggle for Authenticity

The Shadow Filter: Language, Power, and the Algorithmic Struggle for Authenticity

In an earlier piece, I wrote about Semantic Version Control — the quiet ways language gets updated, corrected, or erased. The Shadow Filter is its larger frame: language as a site of power. From Qin China’s script reforms to Cold War propaganda, rulers have shaped words to shape thought. Today, algorithms act as new gatekeepers: ATS systems demand keywords, social platforms enforce algospeak, and generative AI flattens voices into statistical averages. The cost is authenticity, as fluency itself becomes suspect. but its effects are not inevitable.

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