Launch
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.
AnalysisOpinion
Qwen 3.8 27B on my laptop can interpret model weights, too
Context: Simon Willison follows up the paper "Sparks of Weight-Space Programming" and finds a local Qwen model can also read neural network weights.
- Source
- simonwillison.net (simonwillison.net)
- Published
- First seen here
- Edition
- Tuesday, November 3, 2026, ranked 1
- Status
- Commentary or analysis: someone’s view, not a reported fact.
- Engagement
- As shown by each platform when we last looked ().
- Topics
- AI, Open source
