Writing
Analytical pieces and essays on the same question that runs through everything I do — how complex systems hold together, and how to make that structure visible. Interactive work lives here; longer essays are cross-posted from Medium.
An interactive explainer of CRepair — the detect → repair → verify → stability loop, the C = D×R×V×S metric, and why verification (not detection) is the binding constraint on AI self-repair. Built from the real benchmark results, with the papers and code linked.
An interactive model of AI task-exposure, BLS labour signals and the full cost of automation — supervision, integration, retries and error risk, not just tokens. Where AI actually beats fully-loaded labour, and where the replacement story breaks on the economics.
A visual walk-through of how raw, broken data becomes a quantified business action: messy input → coherent structure → the signal → a rule → measured impact. Switch between fraud & payments and retention & churn.
On the hidden supports of ordinary experience — ground, body, perception — and how much of what feels solid is quietly held up by structure we never notice.
A pattern from history applied to the present moment in AI — what recurs when a powerful new capability outruns the structures meant to hold it.
On power, constraint and emergence — reading the rise of intelligent systems through an older geometry of awakening and its paradoxes.