The recent MIT report Mapping AI Risk Mitigations is an important document, not because it resolves the current uncertainty around AI governance, but because it makes that uncertainty explicit. The report does not introduce a new safety framework, nor does it propose a novel theory of AI risk. What it does, with notable rigor, is … Read more
When Interpretation Stops Being Optional There are moments in the evolution of technical systems when interpretation ceases to be a matter of preference and becomes a structural necessity. Not because regulation demands it, nor because ethics requires it, but because the system itself begins to enforce meaning through its operation. This note documents such a … Read more
A certain sentence has begun to circulate with the confidence of a proverb, particularly in legal and policy circles trying to tame the AI moment: without rules, there is no framework; without a framework, there is no strategy. It has the tidy appeal of institutional logic—first the law, then the method, then the plan—and it … Read more
