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The article argues that AI, particularly large language models, lack intent and motivation, which undermines concerns about AI posing threats or going rogue.
The article discusses the potential benefits and challenges of using first-person video for robot learning, highlighting that while direct imitation is limited, the sequence of visual attention may transfer. It references LingBot-VLA 2.0 and calls for controlled evaluations to separate viewpoint effects from data volume.