Recent research in artificial intelligence (AI) indicates that current language models have reached their limits, and future advancements depend on AI systems capable of understanding and modeling the complexities of the physical world. Language models like GPT, primarily trained on textual data, excel at processing human language and providing information but struggle to comprehend and act upon real-world physical laws, environments, and object interactions. Experts suggest that the next major breakthrough in AI will come from creating “world models” that digitally represent material reality. These models will enable AI to better understand various objects, their interrelations, and environmental effects, leading to significant improvements in robotics, autonomous vehicles, and other advanced technologies. Additionally, world models will help AI grasp human experiences and the intricacies of the physical world, which current language models cannot achieve. While this new direction promises revolutionary changes across multiple sectors, it also presents challenges such as the need for vast data, complex model training, and ethical and legal considerations. Nonetheless, this shift marks a crucial milestone that could elevate AI capabilities to unprecedented levels.
Source: decrypt
