World-model research sought dynamics prediction for planning—beyond pretty pixel generation.
Labs explored latent-state and video predictors for robot control and agents. The question: do they learn useful physics or only statistical textures?
Foresight and planning benchmarks mattered more than FID. Links to model-based RL resurfaced.
If they mature, world models unite perception, prediction, and action in one stack—an old AI dream.
OpenAI showed Sora, a video model capable of long scenes with surprising visual coherence—still with artifacts.
DeepMind beats classical baselines in scientific prediction with a new deep learning system.
The 2026 debate on opaque reasoning vs. auditable CoT sharpens with Astra: Ryan Greenblatt (Redwood) and UK AISI concerns ask whether we can monitor what the model never writes.