According to @GoogleDeepMind, during a recent interview on the Lex Fridman podcast, CEO Demis Hassabis discussed how the Veo 3 AI model can develop an understanding of intuitive physics solely through observation of the world, rather than requiring physical interaction or embodiment. This approach leverages advanced video and data processing to enable AI to predict real-world outcomes, opening new possibilities for AI applications in robotics, simulation, and autonomous systems. The conversation highlights significant business opportunities for industries seeking to deploy AI models that can interpret and interact with complex physical environments efficiently, reducing the need for costly physical trials (source: Lex Fridman Podcast, YouTube).