
Meta has released the Muse Glimmer 30B, an open agentic model, as part of its efforts to promote open AI development. The model is available on Hugging Face, providing developers with a new tool for building large language model agents. This release is part of a broader trend of open model releases, aiming to enhance collaboration and innovation in the AI field. By making Muse Glimmer 30B accessible, Meta is encouraging the exploration of new applications and advancements in AI technology.
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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.