Theoretical computer science·OpenAI Math·Result 109
Integer multiplication below n log n
One of the 372 results in OpenAI's public mathematics catalogue, filed under theoretical computer science: 1 preprint, the latest dated 23 September 2026. This page quotes OpenAI's own summary of the claim, links the paper and abstract, and embeds the animation.
Also known as integer multiplication beyond n log n; faster than n log n multiplication
In one line: OpenAI reports a result titled ‘Integer multiplication below n log n’ (theoretical computer science) in a preprint dated 23 September 2026. It has not been peer reviewed. The channel's animation, Every OpenAI Math Result, Part 4 of 4: L = BPL, Integer Multiplication and 82 More, is on YouTube.
Chapter 9 of 84 in Every OpenAI Math Result, Part 4 of 4: L = BPL, Integer Multiplication and 82 More · starts at 2:47 · watch from there on YouTube →
What OpenAI claims
Multiplies two n-bit integers exactly at every input length in deterministic worst-case time O(n(log n)1-κ), with κ=2-182, on one fixed finite-alphabet Turing machine with finitely many one-dimensional tapes. This disproves the Schönhage–Strassen n log n optimality conjecture in the ordinary multitape bit model.
Paper
Integer multiplication below n log n
OpenAI's abstract We give a deterministic algorithm that multiplies two n-bit integers in O(n(lg n)1-κ) worst-case time, with κ=2-182, on one fixed finite-alphabet Turing machine with a fixed finite number of one-dimensional tapes. The algorithm is exact for every input length and disproves the n log n optimality conjecture of Schönhage and Strassen in this model.
Status
Preprint. The paper has not been independently reviewed. Treat the result as OpenAI's claim until other mathematicians have checked it. If a video exists, it illustrates the statement; it is not the proof.
Quick answers
- Is it proven?
- Not independently yet. OpenAI posted a preprint on 23 September 2026; it has not been peer reviewed, so treat the result as OpenAI's claim until other mathematicians have checked it.
- What exactly does OpenAI claim?
- Multiplies two n-bit integers exactly at every input length in deterministic worst-case time O(n(log n)1-κ), with κ=2-182, on one fixed finite-alphabet Turing machine with finitely many one-dimensional tapes. This disproves the Schönhage–Strassen n log n optimality conjecture in the ordinary multitape bit model.
- Where is the proof?
- In the paper, Integer multiplication below n log n (PDF).
- Is there a video?
- Yes, on YouTube (29:10, chapter 9).
Also in
- Chapter 7 of 9 in L = BPL, Matrix Multiplication Exponent, Integer Multiplication and 6 More · starts at 2:04 · watch from there on YouTube →
The video
Every OpenAI Math Result, Part 4 of 4: L = BPL, Integer Multiplication and 82 More · Compilation · 29:10 · chapter 9 from 2:47 · description, sources and chapters →
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