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Meta Debuts AI to Help Robots ‘Understand the Physical World’
- Meta has introduced V-JEPA 2, an AI model to help AI agents understand the physical world and predict outcomes.
- V-JEPA 2 aims to enhance AI agents' abilities in thinking before acting, moving towards advanced machine intelligence.
- The model helps AI agents simulate human-like predictive intelligence by utilizing world models for understanding, predicting, and planning.
- Meta trained V-JEPA 2 using video data to identify patterns in how people interact with objects and how objects move.
- The launch of V-JEPA 2 follows Mark Zuckerberg's recruitment of experts to advance Meta's artificial general intelligence (AGI) goals.
- In another AI discussion, Hightouch's co-CEO discussed using technology to combat 'digital fatigue' in marketing.
- Emphasizing the importance of valuable consumer-centric marketing over generic promotions, the conversation delved into the challenges of engaging consumers.
- It was highlighted that current marketing strategies often lead to consumer burnout due to oversaturation of solicitations.
- The issue was attributed to a lack of adaptive strategies in marketing approaches and a reliance on outdated practices.
- Hightouch's stance is that traditional marketing channels are inadequate in delivering personalized and engaging experiences compared to modern digital channels.
- The article was originally published on PYMNTS.com.
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