Meta Superintelligence Labs released Muse Glimmer on August 10, a 30B-parameter open-weight model under Apache 2.0, designed for local agentic workflows and tool calling. The model, available on Huggi…
Alibaba released Qwen3.8-27B, a 27-billion-parameter open-source model under Apache 2.0, which scores 89.2 on GPQA Diamond, close to Anthropic's Claude Opus 4.6's 91.3 from February, and beats Meta's …
Meta Platforms Inc. released Muse Glimmer, a 30-billion-parameter open-source AI model designed for local agentic workflows on consumer hardware, on August 10, alongside a manifesto by CEO Mark Zucker…
Alibaba released Qwen3.8-27B, a dense multimodal model with open weights under Apache 2.0, which outperforms Meta's Muse Glimmer 30B on every benchmark where both were tested, including a 73.0 vs 51.7…
Meta AI Research has released Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for on-device agentic execution on consumer GPUs. The model uses 4-bit dynam…
A developer's field guide benchmarks DFlash, a block-diffusion speculative decoding method, on 30B-scale models, arguing that tokens per second can mislead. The guide highlights DFlash's architectural…
Elon Musk's xAI and Mark Zuckerberg's Meta released new AI models—Grok 4 and Muse Spark 1.1 and Muse Glimmer—that are performing well on key benchmarks, intensifying competition with OpenAI, Anthropic…
Meta Superintelligence Labs released Muse Glimmer, a 30-billion-parameter dense open-agentic model under Apache 2.0, designed for local agents with multi-step reasoning, tool calls, image understandin…
Meta Superintelligence Labs released Muse Glimmer, its first open model, on August 10, 2026, as a 30B multimodal model with a 128K+ context window under Apache 2.0, designed for local agent workloads.…
Meta has open-sourced Muse Glimmer, a 30-billion-parameter model for autonomous agent workflows, available under Apache 2.0 on Hugging Face and Ollama. Distilled from Meta's larger Muse Spark system, …
Meta Platforms Inc. said it will resume releasing some open-source AI models soon, according to an August 10 essay by CEO Mark Zuckerberg, who argued that advanced AI should be distributed widely to a…
Meta released Muse Glimmer on August 10, a 30-billion-parameter open-weight model for local agentic workloads under an Apache 2.0 license. Meta says quantized variants can fit within a 24 GB or 32 GB …
Meta has open-sourced Muse Glimmer, a 30-billion-parameter agentic AI model that runs on consumer hardware, in a move aimed at challenging closed AI labs and Chinese open-weight competitors. The model…
AI Weekly Issue #521 reports that frontier AI has split into three distinct markets—controlling access to intelligence, owning models outright, and deciding which model receives each job—changing the …
US Treasury Secretary Scott Bessent endorsed Meta's release of Muse Glimmer, a 30-billion-parameter open-source AI model launched on August 10, 2026, calling it a win for American innovation and a bul…
Meta Platforms Inc. CEO Mark Zuckerberg released a 6,500-word manifesto advocating for open, decentralized access to advanced AI, arguing that democratizing the technology prevents dangerous power con…
A developer benchmarked two open-weight local LLMs, Qwopus 3.6 27B and Meta's Muse Glimmer 30B, on real development tasks in a JavaScript project. Both models produced byte-identical fixes for a PWA r…
Meta released Muse Glimmer on August 10, 2026, a 30-billion-parameter open-weight model distilled from Muse Spark and built for local agentic workloads, available on Hugging Face under Apache 2.0. The…
Meta returned to open weights with Muse Glimmer, an Apache-2.0 30B model that reportedly matches a 1T-parameter peer and runs on a single GPU at full context, but its intelligence score of 953 Elo hid…
Meta Platforms Inc. released Muse Spark 1.2, an open-weight AI model that scored 1,631 on the GDPval-AA benchmark, a 260-point jump, and Muse Glimmer, a 29.6-billion-parameter Apache 2.0 model with a …