
Meta has launched the Muse Glimmer model, a small, open-source AI model capable of running on-device, which outperforms similar models in agentic, coding, and reasoning tests. This move is part of Meta's strategy to re-embrace open-source AI, with plans to release Muse Spark 1.2 soon. Mark Zuckerberg has emphasized the importance of open-source AI in maintaining U.S. leadership, arguing against policies that could hinder American AI advancements. This development positions Meta as a significant contender in the global AI landscape, particularly against China's open-source initiatives.
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Meta unveils Muse Glimmer: a 30B parameter multimodal model
10 developments
Amazon’s Strands Decider 2B joins the growing wave of decision models designed to replace heavy LLMs for simple routing tasks. Built on Qwen3.5-2B, it outputs calibrated choices with confidence scores rather than generating text, offering a cheaper, faster alternative for agentic workflows. The release signals AWS’s push into specialized agent infrastructure, aiming to solve the latency and cost bottlenecks of general-purpose models. While TypeSafe’s Jev pioneered this space, Amazon’s entry brings enterprise-grade credibility and open-source accessibility to a niche that is rapidly filling with experimental clones.