Semidirect sums of tensors and the matrix multiplication exponent

This note is an exposition of the recent preprints from OpenAI that establish the bound $ω\leq 9/4$ on the matrix multiplication exponent. We argue that the heart of these preprints is a new technique, which we formulate as the untwisting lemma for semidirect sums of tensors. This gives a generally applicable method for analyzing tensors. We also discuss further consequences of this method, as well as the relation between the OpenAI proof and previous work.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-03
DOI
https://doi.org/10.48550/arxiv.2611.04175
Primary Topic
Complexity and Algorithms in Graphs
Type
preprint
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preprint

Semidirect sums of tensors and the matrix multiplication exponent

Baitian Li
arXiv (Cornell University)
Complexity and Algorithms in Graphs
preprint

Semidirect sums of tensors and the matrix multiplication exponent

Baitian Li
preprint en

Abstract

This note is an exposition of the recent preprints from OpenAI that establish the bound $ω\leq 9/4$ on the matrix multiplication exponent. We argue that the heart of these preprints is a new technique, which we formulate as the untwisting lemma for semidirect sums of tensors. This gives a generally applicable method for analyzing tensors. We also discuss further consequences of this method, as well as the relation between the OpenAI proof and previous work.

arXiv (Cornell University)
Complexity and Algorithms in Graphs
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Semidirect sums of tensors and the matrix multiplication exponent — Baitian Li · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS