tl;dr: AI's apparent superiority at mathematics may stem less from better reasoning than from a vastly larger "working memory" — its context window acts as an enormous external symbolic scratchpad that lets it track assumptions, intermediate steps, and constraints far beyond human cognitive limits. This advantage is most pronounced in mathematics because the domain is built from explicit, unambiguous symbols and verifiable steps, but less useful in informal domains involving hidden causes or ambiguous concepts. The author likens current AI to a von Neumann–style amplifier of speed and breadth, rather than an Einstein capable of reframing problems entirely.