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.
The Internet Doesn’t Forget, So Why Will AI?
From clay tablets to cloud backups, memory has always been contested. We assume forgetting is natural, yet for machines it is costly. AI inherits the problem of persistence. Once information is encoded in a model, unlearning is difficult and expensive. The internet became an accidental archive. AI’s memory will be intentional. This makes forgetting less a technical puzzle and more an ethical one. Who decides what vanishes, and who preserves what remains? Governments, corporations, communities, or individuals? That choice shapes the legacy the future inherits. AI will forget only if we force it. The real question is whether it is wise to ask it to.