What comes after large language models (Odyssey's Oliver Cameron)

World models represent the next frontier of artificial intelligence, shifting from text-based synthesis to understanding and simulating reality through visual observations. By learning physics, dynamics, and cause-and-effect relationships, these models enable more efficient training for applications ranging from autonomous driving to robotics, often requiring significantly fewer examples than traditional machine learning approaches. Oliver Cameron, co-founder and CEO of Odyssey, emphasizes that the most successful companies will adopt a "hardest thing first" strategy, building foundational models capable of navigating diverse industries like healthcare, education, and energy simultaneously. These models function as autoregressive diffusion transformers, leveraging massive datasets of internet video and expert-led simulations to create a universal intelligence. Ultimately, this technology promises to unlock scientific breakthroughs by providing a deeper, more accurate representation of the physical world than language-based models can achieve.