For game world models, the action labels are the bottleneck, not the video. What makes game data actually trainable? [D]
Most of the public story around game data and world models comes back to one thing: video is cheap, the action that caused each frame is not - vpt: about 2,000 hours of contractor play with keyboard and mouse recorded was enough to train an inverse dynamics model that then labelled around 70,000 ho…
Read the full story at r/MachineLearning ↗
Timeline · 1 report
- 2026-11-12 00:36 · r/MachineLearning
For game world models, the action labels are the bottleneck, not the video. What makes game data actually trainable? [D]