When mathematicians say "$\pi$" or "$e$", they do not merely name an infinite numeral string; they invoke an invariant meaning that survives a wide class of legitimate computational, analytic, and theoretical transformations. This is epistemological blur: we tolerate hidden processes because the invariant-the circle/circumference ratio, the exponential growth law, the Fourier kernel-passes unscathed. We formalize a resource-and-theory relative information split $$\operatorname{bits}(\pi \upharpoonright N)=\underbrace{\operatorname{deducible}_{\mathrm{Th}, b}(N)}_{\text {provably derivable under budget }}+\underbrace{\operatorname{random}_{\mathrm{Th}, b}(N)}_{\text {epistemically random at budget }}$$ connect it to the BBP hex expansion of $\pi$, and then state the essential lesson from primes: genuine, quantifiable information keeps arriving forever, but at a rate that is logarithmic in a logarithm of scale. Divergences such as $\sum_{p \leq x} \frac{1}{p}=\log \log x+B_1+o(1)$ and products like $\prod_{p \leq x}(1-1 / p) \sim e^{-\gamma} / \log x$ show that new bits of structure demand exponentially more primes; the knowledge encoded by this "trivial" object is infinite and dynamically layered. We will never exhaust it, and the information is not noise: it is structured and measurable.