representation-learning

Orca proposes a single 'world latent space' to replace next-token, next-frame, and next-action prediction News

Researchers introduced Orca, a world foundation model that learns one unified latent space from multimodal signals and predicts the next world state rather than the next token or frame, outperforming similar-sized specialists on text, image, and action tasks.