Muse Ember: Our smallest, most efficient model (opens research.meta.ai)
Meta's entry-level model, described by SiliconANGLE as costing significantly less than the competition and the first trained using Muse Wonder.
Context: The subreddit's moderators banned submissions of projects using, made by or intended for AI and excluded non-English speakers over AI-translation concerns; the new rules sparked a revolt.
From The Verge: Moderators of r/opensource ban submissions of projects using, made by, or intended for AI, exclude non-English speakers over AI translation concerns, and more — The opensource subreddit's new rules against AI have sparked a revolt. … The post made Saturday evening opens by saying …
Meta's entry-level model, described by SiliconANGLE as costing significantly less than the competition and the first trained using Muse Wonder.
DeepSeek says Harness reached 1.54 million daily users within three months of launch and processes about 92 trillion tokens a day, roughly 60 million per user.
Artificial Analysis says it matches Gemini 3.8 Flash (high) on its index and would be the top open model outside China once weights ship.