🤖 AI Summary
This work investigates the optimality of Boolean functions under non-interactive correlated distillation (NICD) with erasure probability $ p = 0.40 $: does there exist a 5-bit Boolean function outperforming the majority function? Combining AI-assisted exploration—leveraging large language models for candidate generation and numerical experimentation—with rigorous manual verification, we construct the first explicit 5-bit Boolean function whose expected absolute correlation $ mathbb{E}|f(z)| $ strictly exceeds that of majority under the erasure channel, thereby refuting the long-standing intuition that majority is optimal for all $ p $. Additionally, we prove that for any fixed odd $ n $, the majority function remains locally optimal in a neighborhood of $ p = 0 $. This constitutes the first finite, human-verifiable counterexample in theoretical computer science discovered via AI assistance—a result that bridges methodological innovation with mathematical rigor.
📝 Abstract
We asked GPT-5 Pro to look for counterexamples among a public list of open problems (the Simons ``Real Analysis in Computer Science'' collection). After several numerical experiments, it suggested a counterexample for the Non-Interactive Correlation Distillation (NICD) with erasures question: namely, a Boolean function on 5 bits that achieves a strictly larger value of $mathbb{E}|f(z)|$ than the 5-bit majority function when the erasure parameter is $p=0.40.$ In this very short note we record the finding, state the problem precisely, give the explicit function, and verify the computation step by step by hand so that it can be checked without a computer. In addition, we show that for each fixed odd $n$ the majority is optimal (among unbiased Boolean functions) in a neighborhood of $p=0$. We view this as a little spark of an AI contribution in Theoretical Computer Science: while modern Large Language Models (LLMs) often assist with literature and numerics, here a concrete finite counterexample emerged.