AI Computation Paradigm

Proof of Concept: Holding near-finished computation to bridge logic states for rapid prompt iteration.

2D Steady-State Heat Equation (Laplace PDE)

Heat Source (Prompt) Heat Sink (Prompt)
Cold (-1.0) Hot (1.0)

Execution Control

Discards held logic state. Recomputes entire context. High energy, slow speed.

Holds near-finished computation. Bridges to new prompt. Low energy, near-instant speed.

Cold Start Iterations: -
Cold Start Time: -
Bridged Iterations: -
Bridged Time: -

Speedup Factor (Compute Efficiency): -
The AI Analogy:
The Grid = The AI's Context Window / Internal Logic State.
Boundary Conditions = The User's Prompt.
Error Rate ~0 = Mathematical equilibrium (The "finished" logic state).
Cold Start = Standard Transformer inference (Recomputes everything from token 0).
Bridged State = KV Caching / Continuous Batching / Activation Steering. The system holds the "finished" state and only computes the Delta for the new prompt iteration.