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Stanford HAI director warns that the US may not be prepared for the development of world models.

MeNews
ME News reported that on April 23 (UTC+8), Russell Wald, Executive Director of Stanford University’s Institute for Human-Centered AI (StanfordHAI), recently noted that U.S. policymakers and government officials lack awareness of world models, which may repeat the mistake of society being unprepared when ChatGPT was released. The article argues that world models represent the next stage of AI development after language models. By analyzing video, image, and text data, they can understand and simulate three-dimensional physical environments, predict physical events, and have transformative potential comparable to large language models (LLMs). They can be applied in fields such as robotics, healthcare, autonomous driving, and drug discovery. However, their development is constrained by hardware, computing resources, and supply chain bottlenecks, and may also heighten social risks such as privacy, job displacement, national security concerns, and the blurring of boundaries between virtual and real life. The industry is calling for the formulation of a national strategy and advance planning for regulation. (Source: InFoQ)
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