Video Emerges as All‑In‑One Hub for Reading, Writing, Sharing and Interaction
| Source: HF Papers | Original article
Advances in video foundation models and video world models are enhancing how AI reads, writes, shares, and interacts with dynamic visual content.
A new survey released three days ago, *Reading, Writing, Sharing, and Interacting with the World through Video*, brings together the fast‑moving strands of video foundation models and video world models under a single conceptual umbrella. Authored by Shengqiong Wu, Meng Luo and Bobo Li, the paper argues that an observed video is a “partial, lossy, and temporally ordered projection of a latent temporal world” and organizes the literature around four complementary operations:
* **Reading** – inferring world properties from the video stream;
* **Writing** – synthesising video that matches specified or learned world conditions;
* **Sharing** – linking understanding and generation so that the same model can both interpret and produce video;
* **Interacting** – closing the loop, allowing an agent to act on and reshape the video‑based world.
The authors also introduce a two‑axis taxonomy that classifies world models by the space they predict (pixel‑level, feature‑level, or abstract) and by how they interface with state transitions. Recent systems illustrate the framework: the generative model Sora demonstrates learning dynamics through video synthesis, while Genie shows how interactive environments can be distilled from unlabeled footage.
Why it matters is twofold. First, the field has exploded with specialised advances—video scene‑graph generators, future‑video representations, and action‑oriented models—yet lacked a unifying narrative. By mapping these efforts onto the reading‑writing‑sharing‑interacting schema, the survey offers researchers a clearer roadmap for building models that both perceive and act, a prerequisite for robust AI agents in robotics, AR/VR, and autonomous simulation. Second, the taxonomy highlights gaps—particularly in seamless interaction—guiding investment toward closed‑loop systems rather than isolated perception or generation pipelines.
Looking ahead, the community can expect a wave of “unified video models” that blend the four operations, new benchmarks that evaluate interaction fidelity, and industry pilots that embed such models in real‑world perception‑action loops. The survey sets the stage for those developments, and its framework will likely become a reference point for upcoming conferences and workshops.
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