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The industry is actively trying to figure out what the right abstractions look like for AI-assisted development. Two notable attempts:

Aimbot detection targets the statistical properties of mouse movement. Human aiming exhibits specific properties: Fitts’ Law governs approach trajectories, there is characteristic deceleration as the cursor approaches a target, velocity profiles have specific acceleration and deceleration curves, and there is measurement noise. An aimbot performing perfect linear interpolation to a target produces movement that violates these properties. A triggerbot (which fires automatically when the crosshair is on target but does not manipulate mouse movement) is detected via reaction time analysis: human reaction times to a target crossing the crosshair have a minimum physiological floor (approximately 150-200ms) with a characteristic distribution. Reaction times below this floor with high consistency indicate automation.

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