Theoretical computer science·OpenAI Math·Result 132·Lean formalisation listed
A superquadratic separation of sensitivity and block sensitivity
One of the 372 results in OpenAI's public mathematics catalogue, filed under theoretical computer science: 1 preprint, the latest dated 25 September 2026. This page quotes OpenAI's own summary of the claim, links the paper and abstract, and will embed the animation.
Latest paper
A superquadratic separation between sensitivity and block sensitivity
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What OpenAI claims
Constructs total Boolean functions with block sensitivity bs (f) ≥ s(f)α for a fixed α > 2, disproving the quadratic strengthening of the Sensitivity Conjecture. Here s(f) counts influential individual-bit flips, while block sensitivity allows disjoint groups of bits to change together. (Lean)
Paper
A superquadratic separation between sensitivity and block sensitivity
We disprove the quadratic strengthening of the Sensitivity Conjecture by constructing nonconstant total Boolean functions whose block sensitivity grows faster than any constant multiple of sensitivity squared. In fact, for some fixed α > 2, our examples have unbounded block sensitivity and satisfy bs (f) ≥ s(f)α.
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.
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