Negative agreement across 3 frontier models on the same Bengali transcripts suggests something deeper than random variance. In low-resource, dialect-rich settings, "correct" is not singular. Models absorb different norms from fragmented corpora, making evaluation itself unstable. We unpack the implications in our latest blog, including the role of human benchmarking.