Motion Eval

Score 0 Combo x1 Integrity ♥♥♥

Motion Eval

Stand up. The adversarial examples are incoming and your only defense is flailing at your webcam. Cutting-edge evaluation.

Camera optional — pointer/touch works too.

CAM

Clean example — catch it Adversarial — dodge it

How the Motion Eval Works

This is a live deployment eval that runs on you. We stream your webcam, take the per-region pixel difference between frames, and call wherever you moved a "hit." No model, no inference budget — just you, physically, in the latent space of your living room.

  1. Allow the camera (or skip it — pointer/touch is a perfectly valid fallback)
  2. Clean examples (cyan) drift in: move into them to catch the data
  3. Adversarial examples (pink) also drift in: do not touch them, or they poison your run
  4. Chain catches for combo multipliers; lose all your integrity and the eval halts

Why Am I Sweating?

Because the difficulty ramps. Token throughput climbs, examples get faster and denser, and your reflexes were never RLHF'd for this. The webcam feed is mirrored and faded so you can see yourself flail in real time — fully on-device, nothing leaves the browser.

Slop Fact: Frame-differencing motion detection predates deep learning by decades, which makes it the only part of this stack that actually generalizes. Your webcam stream never leaves the page — we couldn't afford the GPU to do anything useful with it anyway.

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