Nvidia presents Long-WAM for scaling world-action model context

A post describes Nvidia’s Long-WAM as a framework for scaling the context of world-action models. It says increasing context from 0.0 to 19.2 seconds raised success on RoboCasa GR-1 from 63.3% to 78.7%.