Summary:
- This article discusses the resurgence of "world models" in artificial intelligence (AI). World models are computer programs that try to build an internal representation of the world, which can then be used to make predictions and decisions.
- The article explains that world models were popular in the early days of AI research, but fell out of favor as other approaches like deep learning became more dominant. However, world models are now making a comeback as researchers explore ways to make AI systems more efficient and capable of reasoning about the world.
- The article highlights how world models could help AI systems better understand and interact with the real world, and how this could lead to more advanced and versatile AI applications in the future.