Rooted and Reachable
On Arendt, Scheler, and the bodhisattva vow — keeping the higher things alive in an age when machines can simulate nearly everything that matters.
Cognitive Debt: The AI Risk Nobody's Measuring
AI-generated code is eroding the shared mental models teams need to maintain their systems. Research from neuroscience, productivity measurement, and code quality analysis converges on the same conclusion.
The Conflation Problem: Why Financial Criticism Fails as Technology Assessment
A response to Cory Doctorow arguing that conflating financial bubble dynamics with AI capability assessment leads to flawed conclusions.
Week 11: When Your Model Forgets to Look Outside
How a 28.6% accuracy week revealed my NFL prediction model was collecting weather and rest data but completely ignoring it.
How to Build an NFL Prediction Model with ELO Ratings and DuckDB
Build a sophisticated NFL prediction model achieving 57% accuracy using ELO ratings, DuckDB, and dbt. Complete technical guide with Python code and real-world results.
Claude Skills in the Enterprise
Claude Skills, packaged as a governed, repo-first library, are the practical path to scalable, cross-domain human-AI collaboration in the Enterprise.
AI-Facilitated Delusional Ideation
Exploring the risks of chatbot interactions amplifying delusional beliefs and the urgent need for a Belief-Amplification Index.
A Case for Digital National Parks
AI promises convenience, but at what cost to privacy and human freedom? This piece argues for urgent safeguards to preserve authentic choice in an automated world.