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Benefit Ledger · provisional · Computer Science

AlphaEvolve reports a rank-48 4x4 complex matrix-multiplication tensor and Google infrastructure tweaks

DeepMind’s Gemini-powered AlphaEvolve evolutionary coding agent, announced in May 2025, reported a rank-48 decomposition for 4×4 complex matrix multiplication and internal data-center and training-kernel changes.

Tier 3 MajorMethodology 0.1
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Current score

+1.13

10 base · Major (tier 3 of 5, 10 pts)
× 0.8000 attribution · Primary causal contribution
× 0.4500 evidence · External expert evaluation
× 0.5000 realization · Experimentally validated
× 0.7000 durability · Useful for many years
Event-level product before credit split: 1.26

A genuine algorithmic record, if the tensor claim holds, is major (tier 3). Attribution is high but human evaluators and existing search matter. Evidence is preprint/developer disclosure (0.35). Realization is demonstrated internally and in released notebooks. Status is provisional pending broader formal writeup. Follow-up ingest: independent source raised evidence; added a follow-up source.

What happened

On 14 May 2025 DeepMind described AlphaEvolve, an evolutionary loop over Gemini-generated code edits with automatic evaluators. The white paper and later arXiv preprint claimed a rank-48 tensor decomposition for 4×4 complex matrix multiplication, improving on Strassen’s rank-49 recursive scheme in that setting, plus scheduling and kernel changes used inside Google. Terence Tao publicly noted that the blog oversimplified the distinction between a tensor decomposition and an arbitrary 48-multiplication algorithm. Evidence remains a developer paper plus expert commentary, not a journal article. Update (2026-03-19): How we monitor internal coding agents for misalignment ↗. Monitoring model behavior in real internal workflows.

Model attribution

+1.13

Gemini

Generated code mutations inside AlphaEvolve’s evolutionary loop.

Gemini is the stated generator; humans designed the loop and evaluators.

Attribution 0.8000 · Credit share 90% · Google DeepMind

Claims

  • AlphaEvolve found a rank-48 tensor decomposition for 4×4 complex matrix multiplication.

    outcome · supported

  • This was the first algorithm that multiplies 4×4 matrices with 48 scalar multiplications in every sense of the phrase.

    significance · disputed

Sources

primary sources

independent sources

Secondary domains: Mathematics

Revision history

  • 13 Sep 2026 · 0.00 → 0.88

    Initial adjudicated seed score under methodology 0.1.

  • 17 Sep 2026 · 0.88 → 1.13

    Ingest update: independent source raised evidence; added a follow-up source.