Muse Video vs. Muse

Muse Video is Meta’s previewed AI video generation model from Meta Superintelligence Labs, created to bring high-quality video generation into Meta AI and creator workflows. It was introduced alongside Muse Image as one of Meta’s first media generation models from the new lab, with both models sharing the same pretraining foundation. Muse Video is designed to create short videos with strong prompt adherence, visual fidelity, temporal consistency, and native audio support. The model can generate scenes that include realistic motion, camera movement, environmental sound, voice, music, foley, and cinematic structure. Example use cases include animal clips, product ads, first-person nature footage, vertical UGC-style commercials, branded video concepts, and short continuous scenes with a clear beginning, action, and payoff. Muse Video is built for prompts that require both visual and audio direction, such as synchronized speech, diegetic sound, music beds, product sound effects, and natural scene ambience. Meta says the model performs competitively on human-preference video generation benchmarks and is continuing to improve in areas where video models often struggle. Those areas include better audio-video synchronization, more physically accurate fast motion, and stronger consistency across complex moving subjects. The model is expected to come soon to creators and Meta AI, where it will expand Meta’s generative tools beyond still images into dynamic video content. Meta also plans to extend its Content Seal watermarking system to video, helping people identify AI-generated media. By combining video generation, native audio, realistic scene construction, and future integration across Meta products, Muse Video is positioned as a major creative tool for social content, advertising, storytelling, and brand media.

Meta Muse is a personal AI agent designed to take action across websites, apps, and everyday digital workflows on behalf of the user. Rather than functioning only as a conversational assistant, Muse can navigate the web, complete forms, book appointments, interact with customer service, and perform other multi-step tasks. It operates on a persistent dedicated virtual machine with its own browser, giving the agent an environment where it can continue working after a task has been assigned. Users can talk to Muse through the dedicated mobile app or through WhatsApp in a conversational format similar to ordinary messaging. The agent can connect to services such as email, calendars, Instagram, and other applications that are relevant to a user’s goals and routines. When given a broader objective, Muse can create an action plan, monitor progress, and return with suggestions or next steps as the situation develops. It can also build its own tools when a task requires functionality that is not already available through an existing integration. User control is built into the workflow through approval requirements for sensitive actions such as sending messages or making purchases. Muse maintains an audit trail that shows what the agent has completed and what it intends to do next. Security features include protected credential storage that the agent cannot directly read, planned 1Password integration, and one-time payment card numbers designed to reduce exposure of real card information during purchases. Meta Muse is intended for users who want a persistent AI agent that can coordinate personal tasks, work across digital services, and act autonomously within boundaries defined by the user.