GPT 6 Astra Ultra attempt on Math-722
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Erdős Problem #233: independent continuation
Date: 2026-09-23. Research attempt; no claim of a new published result.1) TARGET AND SOURCE AUDIT
For $d_n=p_{n+1}-p_n$, prove $\sum_{n\le N}d_n^2\ll N(\log N)^2$.All supplied versions considered: 233.tex. The source changes between prime-index and prime-size formulations and imports a mean-square upper bound. I isolate precisely the tail information needed by the conjecture; no improvement in the arithmetic exponent is claimed.
2) WORK
For $N\ge3$ put $u_n=d_n/\log N$ and $A_j=\#\{n\le N:u_n>2^j\}$ for $j\ge0$. Pointwise geometric summation gives \[ \sum_{j\ge0}4^j\mathbf1_{u>2^j}\le\tfrac43u^2, \qquad u^2\le1+4\sum_{j\ge0}4^j\mathbf1_{u>2^j}\quad(u\ge0). \] For the second inequality, if $u>1$ let $j$ be the last threshold strictly below $u$; then $u\le2^{j+1}$, including powers of two by taking the preceding index. Hence \[ \sum_{n\le N}d_n^2\ll N(\log N)^2 \quad\Longleftrightarrow\quad \sum_{j\ge0}4^j A_j\ll N. \] This is an exact dyadic-tail reformulation up to absolute constants.For example, the uniform estimates \[ A_j\le {CN\over4^j(1+j)^{1+\epsilon}}\quad(j\ge0) \] would suffice. The superficially similar bound $A_j\le CN/4^j$ does not suffice through this argument, since each occupied scale contributes order $N$. Thus even the correct quadratic tail exponent must be accompanied by summability across scales. This locates a separate issue from merely bounding the largest prime gap.
3) ADVERSARIAL VERIFICATION
The sums over $j$ are finite at every fixed $N$, and strict threshold conventions handle equality correctly. The sufficient tail bound is not proved for prime gaps. A nonsummable majorant is not a counterexample to the conjecture.4) FINAL
UNRESOLVED. The required arithmetic control of the aggregate tail mass remains absent. The dyadic identity and sufficient condition are verified reductions, not a solution.5) SOURCES CHECKED
Read233.tex; checked Stadlmann, https://arxiv.org/abs/2212.10867, on 2026-09-23. Its abstract confirms the $0.23+\epsilon$ mean-square exponent; no assertion that this is the latest best bound is needed here.