TL;DRVideo generation (Sora, Veo) produces short clips from text — the fast-moving frontier.
Text-to-video models extend diffusion/transformer techniques to time, generating coherent short clips from a prompt while maintaining consistency across frames (the hard part — objects must persist and move plausibly). Sora, Veo, and others advanced rapidly. Costs are high and lengths short, but quality is climbing fast. Implications span filmmaking, ads, and synthetic media concerns (deepfakes), making provenance/watermarking important.
Key points
Text → short coherent video clips
Hard part: temporal/frame consistency
Sora, Veo; advancing rapidly
Raises provenance/deepfake concerns
Common mistakes
Expecting long, perfectly consistent video
Ignoring compute cost
Overlooking synthetic-media/provenance issues
Try it: Explain why temporal consistency makes video generation hard.
Example code
<!doctype html><html><head><meta charset="utf-8"></head>
<body style="background:#06040d;color:#e6e0ff;font-family:monospace;padding:20px"><pre>image gen: one frame
video gen: many frames that stay consistent over time
(objects persist + move plausibly)</pre></body></html>