During January 2026, Daniel Zautner enhanced the AMD-AGI/Primus repository by aligning its loss reduction logic with upstream Megatron’s loss formatting requirements. He implemented support for 2-element tensors in the loss reducer, ensuring compatibility with Megatron-based workflows and improving the stability of loss calculations. This work involved modifying deep learning components using PyTorch and Python, focusing on interoperability between repositories. Although the contribution was limited to a single feature and did not include bug fixes beyond the loss reducer adjustment, the update addressed a specific compatibility gap, reflecting a targeted and technically sound approach within the machine learning domain.