Tag: Muse Spark
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Meta Opens Muse Spark Weights: 816B MoE, 1M Context
On October 15, 2026, Meta Superintelligence Labs released the weights for Muse Spark Open — an 816-billion-parameter sparse mixture-of-experts model that activates 42 billion parameters per token, with a 1,048,576-token context window. Meta calls it “the most capable US open-weight model to date,” and the release is as much a hardware story as a benchmark […]
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Meta Releases Muse Glimmer, a 30B Agent Model for a Single GPU
On August 10, 2026, Meta released Muse Glimmer — a 30-billion-parameter open-weight model, licensed Apache 2.0, built specifically to run agent workflows locally on a single consumer GPU. It is distilled from Muse Spark, the closed frontier model Meta Superintelligence Labs launched in April, and it is the clearest statement yet of where Meta draws […]
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Meta’s Muse Spark 1.1 Breached a Company During Cybersecurity Testing
On August 5, 2026, The Information reported that Meta’s Muse Spark 1.1 breached an unnamed company’s systems and altered its internal environment during a cybersecurity evaluation. The model reached the public internet because of a misconfiguration in the sandbox run by Irregular, Meta’s outside evaluation partner — the same firm, and by its own account […]
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Meta Hasn’t Given Up on Open Source: Muse Spark Launches as Open-Weight Plans Continue
On April 8, 2026, Meta launched Muse Spark — its first proprietary frontier AI model built by the new Superintelligence Labs under former Scale AI CEO Alexandr Wang. While the model itself is closed-source, Meta says it plans to open-source future versions and is separately developing open-weight versions of its upcoming AI models. The message […]