RT by @ylecun: Introducing Muse Glimmer, an open-weight 30B-parameter model optimized for local…

TL;DR - A retweeted product announcement introducing Muse Glimmer, a 30B-parameter open-weight model released under Apache 2.0 and tuned for local, always-on agentic workflows. It matters because it pushes capable agent-oriented models onto consumer hardware without restrictive licensing.

• 30B parameters, positioned as competitive with leading models in the same size class on agentic use cases and benchmarks.
• Explicitly targets local deployment: Macs or PCs with performant GPUs, enabling always-on agents without cloud dependency.
• Weights released under a permissive Apache 2.0 license, framed as continuing a tradition of open fundamental AI research.
• Content is a launch teaser (thread opener) with no disclosed architecture details, benchmark numbers, or training data — claims are unverified from this snippet alone.