Artificial intelligence models have limitations in simulating real-world scenarios because they don't understand physics well. To address this, researchers developed a new pre-training approach called GeoPT. This method teaches AI models physics by simulating everyday mechanical interactions. GeoPT can simulate various physical scenarios, including the responses of vehicles, everyday items, and robots. The researchers believe this work can help engineers predict the behavior of these objects in different physical environments and can be applied to robotics, vehicles, and other fields. GeoPT works by simulating the interactions between small particles and complex 3D shapes to learn physics. This approach can help AI models better understand the physical world and can be applied to various tasks. $\text{GeoPT's advantage lies in its ability to efficiently simulate physical scenarios,}$ $\text{and it can achieve the same effect with less data.}$ Blogger's Review: This technology can significantly improve the ability of AI models to simulate real-world scenarios, with a wide range of applications, including physical simulations in robotics, vehicles, and other fields.