Awesome! So it nudges the vectors into stepped polar rays.. It's effectively angle snapping? Plus a sort of magnitude clustering.

Good post but link at the end is broken.

“”” For the full technical explanation with equations, proofs, and PyTorch pseudocode, see the companion post: TurboQuant: Near-Optimal Vector Quantization Without Looking at Your Data.“

I like the visualization, but I don’t understand the grid quantization. If every point is on the unit circle aren’t all the center grid cords unused?