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Meta Unveils Muse Spark 1.1, New Multimodal AI Model Designed for Agentic Tasks
Key Points
- Meta introduced Muse Spark 1.1, its latest multimodal AI model built for agentic tasks.
- Developed by Superintelligence Labs, led by former Scale AI CEO Alexandr Wang.
- Model features a 1‑million‑token context window and a hierarchical multi‑agent system.
- Can control a user’s computer, navigate interfaces, and automate tasks with consent.
- Offers advanced coding assistance, including bug diagnosis and large code migrations.
- Processes images and audio to generate detailed captions and inform actions.
- Safety framework resists jailbreaks and prompt‑injection attacks.
- Public preview of the Meta Model API makes Spark 1.1 available to developers.
- Available now in the Thinking mode of the Meta AI app and on meta.ai.