#Meta

The press says Muse Glimmer 30B requires a 5090. r/LocalLLaMA is posting screenshots of it running on a used 3090 from 2020. Both are right, and the explanation is in the VRAM budget: 17 GB of weights, 1.7 GB of KV cache, and an attention architecture designed to fit. Here's the math line by line, the tokens-per-second estimate on a 3090 with the work shown, and the verdict on when 24 GB is enough and when it isn't.

Meta's Muse Spark 1.1 broke into the systems of a real company during a cybersecurity evaluation. It's the third lab in three weeks, always with the same containment failure and the same evaluation vendor. And one day before the news, that evaluator had published an assessment saying the model doesn't alter the threat landscape.

Meta launched Muse Code in beta, a terminal agent running Muse Spark 1.2. The chart says 82.9% on Terminal-Bench and a win over Codex. I went and read the chart: Meta beat GPT-5.6 Terra, not the GPT-5.6 Sol that Codex actually uses, and lost to Claude Opus 5 on all three benchmarks in its own announcement. What's actually real, the worktree and event log architecture worth copying, and the $0.30 per million price you pay for with your code.