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.
Exploring Cognitive Architecture in the Age of Custom GPTs
Custom GPTs are moving from toys into infrastructure. History reminds us of symbolic systems that collapsed under rigidity. Today the risk is different. Novelty without reliability. The challenge is to discipline the architecture. Contracts, orchestration, and safeguards turn fragile models into durable frameworks. Cognitive architecture is less about raw power than about trust. The task is not whether artificial minds can be built. The task is whether they will be built with the same care we expect of institutions that govern our lives.
Walter Pitts GPT: A Recursive Thought Architecture for Structural Insight in AI Dialogue
Most conversational AI systems excel at smooth replies but hide the logical structures that shape dialogue. The Walter Pitts GPT proposes a different design. It emphasizes structural analysis, logical resilience, and recursive emergence. The inspiration comes from Walter Pitts’ early work in neural logic, which sought to reveal the architecture of thought. This framework does not treat AI as a conversational partner alone. It treats AI as an instrument for exposing structure, clarifying reasoning, and making recursion visible. The value lies less in fluency and more in transparency. AI becomes a tool for mapping thought, not just for simulating it.