Meta has introduced Muse Glimmer, a 30-billion-parameter AI model designed to run AI agents locally on consumer hardware.

Meta has launched Muse Glimmer, a 30-billion-parameter open model designed to run AI agents locally on consumer hardware.

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

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.

The company is releasing its 30B Muse Glimmer model for local agentic workloads and will release an open-weight version of Muse Spark 1.2 in the coming weeks.

Built for always-on local agent workflows, Muse Glimmer runs on a Mac or PC with one consumer GPU.

This important study investigates whether perceived gender is represented in the brain in a category-invariant manner across faces, bodies, and objects, identifying the right middle temporal gyrus ...

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 ...

Inference has settled into engineering budgets as a recurring operating expense, sitting beside cloud storage and observability on the invoice. Estimates cited ...

The Muse Glimmer model supports text and image inputs and was trained on data covering more than 100 languages ...

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