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.
From 0 to 1: Cracking the ARC Prize in Nine Hours
The ARC Prize is designed to push AI to its limits. It asks systems to infer hidden rules from only a few examples. Most models fail. With no formal coding background, I attempted a solution in Python over nine hours. Many paths collapsed, but persistence eventually produced REAP, a solver that cracked 11 tasks. The method relied on intuition, symbolic reasoning, and creative iteration. The outcome was not a breakthrough in brute force but a reminder that curiosity matters as much as compute. Progress toward advanced intelligence will not be measured only in scale. It will also come from small, stubborn experiments that push the edge of possibility.