Runway enables AI agents to generate videos while performing tasks: code repositories are visualized as virtual towns, and file operations are viewable.
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Beating AI News Flash: Runway’s experimental team Runway Labs has unveiled Visual Thinking, a capability that converts AI agents’ workflows into real-time videos. When agents search the web, call tools, or read/modify files, the video model generates synchronized visuals based on these operations. Users no longer need to sift through execution logs line by line to intuitively track what the agent is doing. For example, when an agent is tasked with explaining a monorepo (a code repository shared by multiple projects), the system visualizes the codebase as a small town: different packages are depicted as goods shipped to various applications, while documentation is transformed into a riverside park. The visuals update in real time as the agent accesses or modifies folders. In another demo, an agent simulates Wi-Fi signal propagation on a floor plan to identify coverage dead zones and present adjustment solutions. Even web searches and tool calls for gift shopping are converted into dynamic visuals. Visual Thinking is not a standalone product, but a feature of Runway’s new operating system research project Continuum. Continuum was first unveiled on October 1, and this presentation highlights more use cases. The technology remains in the research and demonstration phase, with no public trial access available yet.
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