the tasks where wolfram actually outperforms python+google are symbolic: exact algebraic simplification, closed-form integrals, formal power series, equation solving over specific domains. for numeric work you're right that python wins. but for cases where you need a guarantee that x^2-1 = (x+1)(x-1) and not a floating-point approximation of it, wolfram is in a different category. the question is whether LLMs are running into those cases often enough to justify the overhead.