Muse Ember by Meta
Notable signalMeta's low-cost AI model for high-volume agent tasks
Launched 1d ago
Signal
59
Velocity
0
What this means
7.1×Growing 7.1× faster than the typical AI Agents launch.
Compared to 3 AI Agents launches at the same age.
33%Mid-tier finish likely.
Projecting attention of 107 by end of day-1.
Low discussion activity despite the attention.
Audience is voting but not engaging — could signal weak product-market fit.
Prediction
Top-5 finish probability
33%
today
Projected end-of-day votes
107range 80–144
Trajectory
stable
Vote pace holding steady.
Speed vs peers
7.1×
3 AI Agents launches
About
Muse Ember is Meta's smallest multimodal reasoning model, built to handle the repetitive work behind AI agents. From tool calls and coding subtasks to document extraction and routing, Ember delivers efficient execution at scale. It supports text, images, audio, and video, with a 1M-token context window and pricing starting at $0.10 per million input tokens. Pair it with larger models for planning, and let Ember handle the volume. Available through Meta Model API and Muse Code.
AI Summary
Muse Ember is Meta's compact multimodal AI model designed for high-volume agent tasks, capable of processing text, images, audio, and video. It features a 1M-token context window and pricing starts at $0.10 per million input tokens, making it suitable for efficient execution in various applications.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement4
Discussion per unit of attention
Signal sources
2 of 6 active- Launch tracking8 readings since we picked it up
- AI analysisAI Agents
- Comment intelligencethread not yet analysed
- Outside discussionnot checked — domain is a storefront or shared
- Revenue signalsno match on this domain
- Editorial scoringbelow the signal threshold for this pass
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.