⚡ Robotic Capital vs. Common Capital — The Data Flywheel Effect

Interact with the parameters and observe how endogenous learning (θ) enhances the productivity of robotic capital (R·θ).

📈
Production & Learning Effect
θ₀ (current)
θ₁ (after T)
Δθ
ΔY from θ (pure)
Total ΔY (Y₂−Y₀)
% explained by θ
Current MPR
Post MPR
How to read: Y₁ = more usage **without** learning. Y₂ = usage + **learning**. The stacked portion highlights the pure gain from the data flywheel (Δθ). Try lowering λ or checking “Isolate learning”.
🧠
Learning Curve
Plots θ vs x = λ·(0.03U + 0.04D). Points: current state (x₀) and after T cycles (x₁).