Meta launches Muse Spark Open 816B model for Macs
The 816-billion-parameter open-weight model targets local inference on Apple Silicon, requiring 1TB of RAM to handle complex coding and agentic workflows.
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The 816-billion-parameter open-weight model targets local inference on Apple Silicon, requiring 1TB of RAM to handle complex coding and agentic workflows.
Meta is packaging its Muse assistant and coding tools into a corporate suite, betting that enterprise deployment is the key to monetizing its massive AI infrastructure spend.
Meta's open-weight Glimmer model arrives with a Zuckerberg manifesto promising AI for everyone, but the fine print reveals limits.
Meta releases a 30B-parameter open model for local use, promises Spark 1.2 weights, and makes a philosophical case for decentralized AI.
With the open-weight Muse Glimmer, Meta offers a local, privacy-conscious AI agent for consumer hardware—and a glimpse of where it draws the line between open and closed AI.
Meta's new terminal agent, Muse Code, uses parallel sub-agents to handle large-scale software engineering tasks without touching your working copy.