Most of the "agentic AI" I've shipped so far has one uncomfortable dependency baked in: a network call to somebody else's cloud. Every tool call, every reasoning step, every retry — all of it round-trips to an API. So when Meta dropped Muse Glimmer this week, a 30-billion-parameter agentic model that runs locally on a single GPU under an Apache 2.0 license, it caught my attention for reasons that have nothing to do with benchmark charts.
Let me walk through what it is, how they pulled it off, and where I think it actually fits.
