In recent advancements within the AI sector, the development of "world models" capable of simulating the physical world has been progressing rapidly. However, the leading companies behind this cutting-edge technology maintain an extremely cautious stance regarding model architectures, training data, and development processes, keeping much of their core information undisclosed.
The primary factor driving companies to conceal this information is the overheated AI development race. The ability to understand physical environments and highly efficient training methods serve as critical differentiators for each firm. To secure first-mover advantages, keeping technical details unreleased and "black-boxing" systems has become a primary strategy in the current AI industry as a defense against competitors.
At present, companies are largely limiting their disclosures to restricted demonstrations, such as specific behavior predictions and video generation capabilities. It is unlikely that core technologies will be revealed in detail anytime soon. The tension between the open-source movement and closed development strategies aimed at protecting competitiveness provides a crucial perspective for predicting how the standards of the future AI industry will be shaped.