Essays on technology, AI, and digital autonomy
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.
A response to Cory Doctorow arguing that conflating financial bubble dynamics with AI capability assessment leads to flawed conclusions.
How a 28.6% accuracy week revealed my NFL prediction model was collecting weather and rest data but completely ignoring it.
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, packaged as a governed, repo-first library, are the practical path to scalable, cross-domain human-AI collaboration in the Enterprise.
Exploring the risks of chatbot interactions amplifying delusional beliefs and the urgent need for a Belief-Amplification Index.
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.