Unverified50% confidenceFactExact time
Muse Spark Open's safety post-training was evaluated under Meta's Superintelligence Scaling Framework.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
Related Entities
Related Claims
UnverifiedMuse Wonder Full holds a leading position in long-horizon coding benchmarks such as DeepSuite.67% similarUnverifiedThe Muse Wonder series is the product of fourteen months of technical reconstruction by Meta AI, trained on the gigawatt-scale super data center Prometheus.67% similarUnverifiedDeepSeek Harness、Prime Agent、Pi和OpenCode四款开源工具都主张套壳与模型应该解耦58% similarUnverified主要的Rust ML库包括linfa(类似scikit-learn)、burn(深度学习框架)、candle(Hugging Face推出的轻量级推理框架)和smartcore58% similarUnverifiedTraditional keypoint detection methods include SIFT and ORB, while deep learning methods include SuperPoint.58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1039013API
curl https://kongchang.com/api/v1/knowledge/claims/1039013MCP
get_claim(id=1039013)