We will trace 3D reconstruction from classical SfM/MVS to the deep-learning shift, transformer-based models like VGGT that tackle multiple 3D vision tasks at once. This talk is for anyone at the intersection of deep learning and 3D vision who wants to understand how these tools are redefining the state of the art and the future of spatial AI.