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.
Why We Need Outsider Voices in the AI Conversation
The AI conversation is dominated by insiders. Corporate and academic voices hold the microphone. That dominance creates blind spots and weakens public trust. Outsiders bring the sharp questions insiders avoid. They bring lived experience and values such as fairness, usability, and dignity. If AI is to become legitimate, these voices cannot be invited late. They must be part of design from the beginning. True trust in AI will not be built by insiders alone.
The AI Arms Race in Hiring: Why Everyone Loses
Hiring has become an arms race of algorithms, and everyone is losing. Job seekers optimize résumés for machines. Recruiters drown in applications generated by AI. Companies pursue return on investment that rarely arrives. Instead of solving the problem, technology has amplified it. The process becomes a prisoner’s dilemma where human connection is the casualty. Trust between employer and applicant erodes, replaced by optimization loops with little value. Real progress will come not from more tools, but from re-centering on dignity, clarity, and fairness in the hiring process.