GEN-1.5 is presented as a one-shot learner for short physical tasks

Generalist AI introduces GEN-1.5, a robot foundation model it says can learn short physical tasks from a single demonstration or a few fine-tuning steps. The company reports 59% average success across ten tasks with one-shot in-context prompting and 83% after ten gradient steps on five minutes of data per task, while noting that the tasks are simple, short-horizon, and the one-shot skills remain brittle. The article argues that scaling pretraining on physical interaction data enabled these capabilities and explores demonstrations from people and simulation, compositional prompting, and improvised tool use.