
The industrial rush toward massive foundational models has reached a point of diminishing returns where the raw size of a neural network matters far less than the precision of the feedback loop that governs its behavior. While the industry remains fixated on compute power and parameter counts, a more sustainable competitive advantage is emerging in the form of evaluation data,










