DeepMind's Raia Hadsell argues AI should move beyond language to world models and robotics

At RAAIS, DeepMind VP of Research Raia Hadsell argued that the field focuses too much on language and should apply large-model training to worlds, robots, biology, and weather.

The article cites DeepMind's DiffusionGemma, a 26-billion-parameter open text model that generates blocks by denoising rather than one token at a time, and the Genie-3 world model, which runs in real time for several minutes.

It also describes world models as a source of synthetic training data for robots.