Recently, ByteDance's world model project has ignited fervent discussions across the industry. With Zhang Yiming at the helm, this initiative has claimed the top spot among ByteDance's four pivotal AI directions for 2026. Leveraging its video generation model, Seedance, ByteDance is forging ahead with the development of a real-time spatial video generation model. It is rallying resources from various departments to ensure priority computational power support.

ByteDance has adopted a distinctive strategy by initiating its efforts with video generation, eschewing dependence on model distillation, and striving to secure an early foothold in the emerging world model arena. Presently, the world model landscape has diversified into multiple technical pathways. OpenAI embraces a physical simulation approach, Google DeepMind opts for real-time interaction, and NVIDIA concentrates on a physical AI foundation. In contrast, ByteDance has blazed a fourth trail, tailored for mass-market applications. It capitalizes on its strengths in the content ecosystem, computational prowess, and end-user devices, aiming to unveil a model on par with global leaders by year's end.

The industry's competitive focus has now shifted towards large-scale application and the generation of commercial value. ByteDance's strategy transcends content and entertainment realms, extending into productivity sectors such as robot training, autonomous driving simulation, and vocational skills simulation learning. Moreover, ByteDance has revitalized the previously overlooked Pico, integrating it as a cornerstone of its ecosystem. This move has lowered the computational power requirements for VR hardware, culminating in a comprehensive layout that encompasses computational power, content, and end-user devices.