Glimmer stakes out different ground: a dense model with native vision input, trained end-to-end around the agent loop, shipping with its own quantized variants and speculative-decoding drafter.

AWS open-sourced Kiro Crew under Apache 2.0 but kept the agent harness proprietary. Deepak Singh explains the strategy, and ...

Meta's Superintelligence Labs released Muse Glimmer, a 30-billion-parameter AI model under the permissive Apache 2.0 license.

Meta Superintelligence Labs has introduced Muse Glimmer, a 30-billion-parameter open-weight model designed for always-on ...

AI drug discovery startup Aureka Biotechnologies closed a $100 million Series B on August 10, 2026, backed by an open-source ...

Muse Glimmer brings autonomous AI tasks onto consumer hardware, potentially reducing dependence on costly cloud infrastructure.

Meta Superintelligence Labs released Muse Glimmer on Monday, a 30-billion-parameter open-weight model designed specifically for autonomous AI agents — and the first model in its size class ...

Meta AI’s Muse Glimmer 30B is a 30-billion-parameter model designed for local AI deployment, with features tailored to tasks such as autonomous agent creation and multi-step planning. It supports a ...

In recent months, the debate around open-weight models and distillation has increased in volume as recent Chinese models like ...

Meta has introduced Muse Glimmer, a 30-billion-parameter AI model designed to operate locally on consumer devices, reducing dependency on cloud infrastructure. This model supports a range of ...

Meta’s new open-weight Muse Glimmer model offers a glimpse of Mark Zuckerberg’s personal superintelligence vision, as well as the emerging divide between AI users can own and access.

Earlier this week, the AI startup Liquid, formed in by former MIT computer scientists, debuted LFM2.5-2.6B, a new open-weight ...