Meta releases Muse Wonder and Muse Wonder Full for agentic tasks, with Muse Wonder available through the Meta Model API
Meta’s most capable models so far, built on Muse Spark, are pitched at long personal and professional tasks in law, finance, health and coding.
// Key points
- Muse Wonder is available today to developers through the Meta Model API and Muse Code; Muse Wonder Full is available to Muse Code subscribers.
- Both models have “Active Memory”, carrying relevant details across conversations, and “Active Focus”, retrying other approaches, recovering from errors and checking in before anything important.
- Meta says the models are trained not to share private information without permission, and that a full report with additional safety evaluations will be available soon.
Builder's takeMeta is now a frontier API vendor, but the announcement gives no price and no benchmark numbers, and the safety report isn’t out yet. I’d register for the API and try one long agent task on it, but hold off on routing user data to it until the safety report and pricing are public; cross-conversation memory is exactly the feature that needs a clear data policy first.
// Background · from #AI agents
Full timeline →- Oct 14 Liquid AI releases open-weight LFM2.5-24B-A2B, a reasoning agent model with 2B active parameters that decodes 184 tokens/s on an M5 Max
- Oct 14 Copilot telemetry can attribute agent activity to a user without capturing prompts, with five content classes each off by default
- Oct 14 NVIDIA lines up software for RTX Spark laptops shipping October 16, including the Nemotron 3.5 Bolt 74B agent model on October 15