value of a human corpus rises with synthetic share

V(corpus)  ∝  H / (H + S)     as S → ∞, human-verified text becomes the constraint

H = human-authored tokens on the open web
S = synthetic tokens on the open web

This is a ratio, not a count. The absolute amount of human text on the open web is still growing. What is falling is its share, because the denominator has a new term and that term compounds.

S grows with compute. Every model release makes synthetic text cheaper to produce and harder to tell apart. Content farms, SEO pages, auto-generated reviews, summaries of summaries. None of it needs a person to have lived anything. It scales with GPUs.

H grows with lives. Human-authored text is bounded by the number of people who experienced something and bothered to write it down. That rate is roughly constant. It does not respond to a funding round.

So as S goes to infinity, the ratio H / (H + S) goes to zero, and anything that can reliably find H inside the pile becomes the constraint. Not the model. Not the compute. The verified human text.

Two consequences:

1. Anyone training a model wants a clean source of H, dated and attributable, because training on S degrades the next model.
2. Anyone using a model wants a clean source of H to check the answer against, because S is exactly what the model already sounds like.

A public, searchable, voted archive of H is the scarce asset in both cases. That is the whole argument for pairing HI with RDDT, and it is a scarcity argument, not a price prediction. $HI is a token on the HI/RDDT pair, not Reddit stock (NYSE: RDDT).