The Wrong Benchmark
What AI Governance Gets Wrong Before It Gets Anything Right
AI governance discourse has a baseline problem, and it is prior to both the technical problems and the regulatory problems; it is epistemic.
Foundations of Sand
How category errors in AI research lead to regulatory failure
The most consequential errors in AI discourse are not the obvious ones. They are the ones that survive peer review, get cited in
We Can Fix the Internet. That's Not the Hard Part.
The coverage of Claude Mythos followed a familiar pattern. Initial alarm about offensive capability followed by security community response followed by company mitigation and marketing, followed by a rapid news cycle. Then attention
They’re Not Interchangeable
There is a confusion running through AI governance discourse that rarely gets named directly, possibly because naming it implicates most of the frameworks currently in use.
The confusion is about what kind of
Deployed Before Proven
Governing AI in Schools: the Developmental Stakes
The debate about screens in schools is being conducted almost entirely from outcomes. Test scores, engagement metrics, effect sizes, procurement accountability: these matter, but they are