When Model Size Stops Winning: The Practical Case for Task-Fit AI

The dominant narrative used to be simple: larger models, larger context windows, more generality - that path would cover every use case. That assumption is fragmenting. What matters now is not raw capability so much as predictable behavior, cost effi...