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Equation 3 · Part 6 · Multimodal AI in 2035: Scenarios and Falsifiers

Symbol r^*

C(t)=1 ⁣[U(t)≥u∗]⋅1 ⁣[R(t)≥r∗]C(t) = \mathbb{1}\!\left[U(t) \ge u^{*}\right] \cdot \mathbb{1}\!\left[R(t) \ge r^{*}\right]
r∗r^{*}

What this part means

r∗r^* is one factor in the product that computes the quantity on the left.

Its job in the formula

r∗r^* is one factor in the product that computes the quantity on the left.

The passage around this formula

Whether the multimodal AI market consolidates around a small number of vertically integrated any-to-any platforms, or remains a supply chain of composed specialist vendors the way it mostly is today, is not a third axis; it is what the other two jointly produce. Write U(t) for the share of new production multimodal deployments built on a single native any-to-any model rather than a composed pipeline — Axis A’s own proxy — and R(t) for the share of multimodal deployments operating in open, uncurated conditions that meet a reliability bar without a human fallback — Axis B’s own proxy. A platform bet on one any-to-any vendor only pays off if that vendor’s model is both the one everyone is…

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Learn the underlying idea

An exponent tells how a base is used in multiplication. In x³, x is the base and 3 is the exponent: x³ = x × x × x.

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Sources cited in the article section

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