Simon Willison·· 6 d ago
Introducing Our Smallest, Most Efficient Model: Muse Ember
Introducing Our Smallest, Most Efficient Model: Muse Ember
AI summary
Introducing Our Smallest, Most Efficient Model: Muse Ember Meta AI just launched their entry in the Claude Haiku/GPT Luna category: Muse Ember, which they describe as: [...] our smallest and most efficient model designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing.
Selection record
Threshold 76Media and individualsFirst 72Second 72
Not admittedSum of both 144 < twice the threshold 152
- Source tier
- Media and individuals; this tier's threshold is 76
- Pre-filter
- passed：介绍Meta新AI模型Muse Ember及评测
- 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: Simon Willison · simonwillison.net