The Forgotten Theorem

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The Forgotten Theorem

This is a companion to the fictional story “The Divergence”, exploring the mathematical idea that inspired it.

In 2027, a mathematician named Arnaud Mehran published a little-known blog post titled “Nonlinear Systems and the Collapse of Shared Cognitive Space.” The post went unnoticed—until the rise of Mira-X in 2036 made its predictions disturbingly real.

Here is the essence of Mehran’s argument.


Modeling Human Productivity Under AI Amplification

Let:

  • $x$ = baseline human capability (e.g., IQ, education, expertise)
  • $P(t)$ = productivity at time $t$
  • $\gamma$ = strength of AI’s effect
  • $\alpha$ = how much human capability amplifies AI leverage
  • $\beta > 1$ = nonlinearity or feedback strength (recursive productivity effects)

The productivity evolution is governed by:

\[\frac{dP}{dt} = \gamma \cdot x^\alpha \cdot P^\beta\]

This describes a positive feedback loop: the more capable and productive someone is, the faster their productivity grows.


Finite-Time Blowup

Solving the differential equation:

\[\frac{dP}{P^\beta} = \gamma \cdot x^\alpha \cdot dt\]

Integrating gives:

\[P(t) = \left[(1 - \beta)(\gamma \cdot x^\alpha \cdot t + C)\right]^{1 / (1 - \beta)}\]

For $\beta > 1$, this solution blows up in finite time. That is:

\[P(t) \to \infty \text{ as } t \to t^* \text{ for some finite } t^*\]

Where:

\[t^* = \frac{P(0)^{1 - \beta}}{\gamma \cdot x^\alpha \cdot (\beta - 1)}\]

This means: small differences in capability can lead to exponentially large differences in outcomes in finite time, not just over decades or centuries.


Societal Implications

Let $P_i(t)$ be productivity for individual $i$, and define inequality:

\[\sigma_P(t) = \text{std deviation across } \{P_i(t)\}\]

Then societal stability can be modeled as:

\[S(t) = \frac{1}{1 + \sigma_P(t)}\]

If $\sigma_P(t) \to \infty$, then $S(t) \to 0$. Society destabilizes.

Mehran concluded:

“Societal divergence becomes unmanageable when cognition becomes recursive.”


Postscript

At the time, the proof felt theoretical—just another curve on another blog.

Now, it feels like prophecy.