Evolution of world models
Selected primary-source milestones from latent environment representations to interactive video, driving, and spatial world generation.
World Models
The 2018 paper presented agents learning compact environment models for control.
DemonstratedCurrentPrimary sourceDreamerV3
DreamerV3 unified latent imagination across diverse reinforcement-learning domains.
DemonstratedCurrentPrimary sourceGAIA-1
Wayve published the first GAIA paper framing driving video as a generative world model.
DemonstratedCurrentPrimary sourceV-JEPA
Meta introduced the V-JEPA latent video prediction architecture.
DemonstratedCurrentPrimary sourceOasis
Decart and Etched published Oasis for real-time interactive world generation.
ReportedCurrentPrimary sourceCosmos 1.0
NVIDIA announced the Cosmos world foundation model platform for physical AI.
ReportedCurrentPrimary sourceV-JEPA 2
Meta connected predictive video representations with robot planning experiments.
DemonstratedCurrentPrimary sourceGenie 3
DeepMind introduced a real-time interactive world-model research preview.
ReportedCurrentPrimary sourceWaymo World Model
Waymo introduced its autonomous-driving simulation model.
ReportedCurrentPrimary sourceCosmos 3
NVIDIA published the Cosmos 3 technical report and open development artifacts.
DemonstratedCurrentPrimary sourceAtlas
World Labs introduced Atlas for persistent multimodal spatial worlds.
ReportedCurrentPrimary sourceGWM Worlds 2
Runway previewed a real-time world model generating 720p video and 48 kHz audio.
ReportedCurrentPrimary sourceOdyssey-3
Odyssey introduced a foundation world model presented as a shared control backbone.
ReportedCurrentPrimary sourceOasis 3
Decart extended its interactive world model to multi-view physical-AI training.
ReportedNeeds reviewPrimary source