2.2 Mapping Cosmology to AI

In Gridium, semantic perturbations replace cosmic fluctuations. Instead of temperature fields, we model task flows, agent states, and data streams as evolving context graphs:

$$C_t = f(G_t, S_t) = \text{Aggregate}(\{x_{v_1}, ..., x_{v_n}\}, S_t)$$

Where:

$$G_t$$

= context graph of tasks and transitions,

$$S_t$$

= external sentiment or off-chain signal,

• $$C_t$$

  = aggregated semantic context vector.

This mapping allows Gridium to detect semantic hotspots, predict task clustering, and route computation as if it were matter clustering in the early universe.