World Models

A new arXiv paper reframes the race toward generative game engines around a classic loop: action, state, and observation. Its central message is that playable worlds need persistent rules and evolving states, not just convincing video prediction.

A new arXiv paper introduces M⁴World, a driving world model that generates surround-view video and synchronized LiDAR while supporting object-level manipulation. The work focuses on controllability, long-horizon stability, and rare-case customization for autonomous-driving simulation.