OpenAI Sora Quiz

Answers and explanations appear as you take the quiz.

1. What does OpenAI's Sora primarily generate?
   • Video clips from text descriptions
   • Music tracks from lyrics
   • 3D-printable models
   • Spreadsheets from data
2. Which underlying architecture best describes Sora?
   • A simple rule-based animation engine
   • A diffusion transformer operating on spacetime patches
   • A recurrent neural network for text only
   • A convolutional image classifier
3. What are the token-like units Sora processes called?
   • Pixels
   • Frames per second
   • Spacetime patches
   • Word embeddings
4. What did OpenAI mean by describing Sora as a step toward a “world simulator”?
   • It proves the model has a complete causal model of physics
   • It guarantees every generated action is physically correct
   • It means the model can control real-world robots safely
   • Video training can teach the model some patterns of how scenes and objects behave
5. Which is a known limitation of Sora?
   • It can struggle with precise physics and object consistency
   • It can only output black-and-white video
   • It cannot produce any motion
   • It only works in one fixed aspect ratio
6. What provenance feature did OpenAI say accompanied Sora-generated videos in its product?
   • A blockchain transaction for every frame
   • C2PA metadata, with visible watermarks in the product experience
   • A spoken disclaimer embedded in the audio
   • A cryptographic signature proving every scene is factual
7. When did OpenAI’s deprecations page say the Videos API and Sora 2 API models shut down?
   • April 26, 2026
   • February 13, 2026
   • September 24, 2026
   • October 23, 2026
8. Which added capability did OpenAI describe for Sora 2 compared with earlier video-generation models?
   • Automatic legal fact-checking of scenes
   • Guaranteed exact object counts
   • Real-time control of physical vehicles
   • Synchronized generated audio with video