The Decoder· Matthias Bastian·· 6 d ago
Meta launches Muse Ember, a small AI model built for the repetitive work agents actually do
Meta launches Muse Ember, a small AI model built for the repetitive work agents actually do
AI summary
Meta is introducing Muse Ember, its smallest and most efficient AI model, optimized for repetitive agent tasks such as tool calls, routing, and data extraction. According to Meta, it delivers more intelligence per dollar than Claude Haiku 5.5 or GPT-6 Luna. But it falls short when it comes to actual programming tasks.
Selection record
Threshold 76Media and individualsFirst 62Second 78
Not admittedSum of both 140 < twice the threshold 152
- Source tier
- Media and individuals; this tier's threshold is 76
- Pre-filter
- passed：Meta发布小型AI模型Muse Ember，含评测与定价
- Same event
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: The Decoder · the-decoder.com