Meta today released Muse Glimmer, a 30-billion-parameter open-weight model designed to run autonomous AI agents directly on consumer hardware — pushing agentic workloads that normally depend on cloud infrastructure onto high-end Macs and PCs.Just as notable as what the model does is how it's licensed. Glimmer arrives under the permissive, industry-standard Apache 2.0 open source license — the company's first fully open release since it succeeded its open-weight Llama family in April with the proprietary Muse Spark.In fact, Muse Glimmer launches today with a more permissive license than Llama ever carried. Llama's bespoke community license drew years of criticism for restrictions like its 700-million-monthly-user cutoff; Apache 2.0 has no such strings, permitting unrestri [...]
Meta today released Muse Code, a terminal-based AI coding agent now in beta, alongside Muse Spark 1.2, a coding-focused update to its Muse Spark family of frontier models — a one-two punch that puts [...]
Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large l [...]
Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 billion parameters, compared to the hundreds of billions or trillions used by [...]
French AI startup Mistral has weathered a rocky period of public questioning over the last year to emerge, now here in December 2025, with new, crowd-pleasing models for enterprise and indie developer [...]
Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architectu [...]
It's not just Google's Gemini 3, Nano Banana Pro, and Anthropic's Claude Opus 4.5 we have to be thankful for this year around the Thanksgiving holiday here in the U.S.No, today the Germ [...]
Following the icy reception to Llama 4, Meta is releasing the first in a new family of AI systems built by its recently formed Superintelligence team. The company is kicking off its new Muse era with [...]
While many enterprises have already begun integrating AI-generated images, visuals, graphics and videos into their production workflows — there is also a growing pool of data and subjective commenta [...]
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]