@levie: They did it. They made a Muse open weights model, which is a huge step forward for OSS in the US. This is going to furt…
Summary
Aaron Levie celebrates Meta's release of the Muse open-weights model, calling it a major step forward for open-source AI in the US that will let enterprises mix frontier and custom post-trained models, boosting token consumption across the stack. The quoted post details Muse Spark Open as the most capable US open-weight model, featuring 816B total/42B active params, 1M-token context, native multimodality, and agentic coding capabilities.
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Cached at: 10/15/26, 06:14 PM
They did it. They made a Muse open weights model, which is a huge step forward for OSS in the US.
This is going to further accelerate AI diffusion because enterprises will be able to mix and match frontier performance for orchestration and high end tasks, while being able to have low cost and tailored post trained models for repeatable workflows.
Overall this dramatically increases token consumption and workloads across the stack. Great to see Meta doing this.
Alexandr Wang (@alexandr_wang): 1/ muse spark open is the most capable US open-weight model to date.
816B total params, 42B active. 1M-token context. natively multimodal. built for coding and agentic work like long-horizon tasks, hard software engineering, multi-step reasoning.
america! 🇺🇲
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Introducing Muse Spark Open: the most capable US open-weight model to date
Meta 发布 Muse Spark Open，号称迄今最强大的美国开源权重模型，专为编码与智能体任务打造，拥有 816B 总参数（42B 激活）、1M 上下文窗口及文本/图像/视频/音频多模态能力，并支持多种推理引擎与微调框架。
@levie: If you told someone 3 months ago that a model released by a US company with frontier-class capability would be availabl…
Aaron Levie discusses how open-weight frontier-class models will unlock AI adoption in regulated and private-infrastructure scenarios, citing Alexandr Wang's announcement of Muse Spark 1.2 and Muse Glimmer, a 30B agentic model under Apache 2.0.
Thanks for the open weights, Meta, but how many of us can actually run Muse Spark Open locally?
Meta released Muse Spark Open, an 816B-parameter (42B active) open-weight multimodal agent model with a 1M-token context, but the author argues its marketing is misleading since the hardware required to run it locally costs tens of thousands of dollars, making API access the realistic option for most users.
Muse Spark Open
Meta 发布 Muse Spark Open，宣称是美国最强开源权重模型：816B 总参数（42B 激活）、1M token 上下文、原生多模态，面向编码与智能体任务，并首次可在两台 Apple M5 Ultra Mac Studio 桌面端本地运行。