Rooted and Reachable: On Practice in the Age of Simulation
On Arendt, Scheler, and the bodhisattva vow — keeping the higher things alive in an age when machines can simulate nearly everything that matters.
Michelle Pellon's Blog
Essays on technology, AI, digital autonomy, and practice
Latest posts
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: Rethinking "AI Psychosis"
Exploring the risks of chatbot interactions amplifying delusional beliefs and the urgent need for a Belief-Amplification Index to measure and mitigate AI-facilitated delusional ideation in vulnerable populations.
A Case for Digital National Parks
AI agents promise convenience, but at what cost? Explore the rise of 'digital national parks' to protect privacy, autonomy, and human choice in an increasingly automated world.