Perceptron Mk1.5: 35B egocentric model for embodied agents
Tool-augmented egocentric video looks set to become the default recipe for wearable and robot perception, replacing attempts to bake all world knowledge into the weights. Builders of embodied systems should study how Mk1.5 chains information-gap detection with tool selection mid-task. Compared with general multimodal models trained on third-person footage, this egocentric-first approach targets a distinctly harder input distribution.
