An empirical study found that projecting MLP weights from one transformer model into another fails to transfer semantic capability. Every tested variant performed worse than the unmodified host model, indicating a structural limitation in weight projection. The results challenge public claims about model capabilities based on benchmarks, showing such claims do not reflect actual internal weight geometry.