@ben_burtenshaw
community MLE 🤗 @huggingface gh/hf username: burtenshaw anon feedback: http://admonymous.co/ben-burtenshaw
AI
Reflection says the release includes Mirror CLI, its open-source training harness, and collaborations with 40-plus partners.
Technology
Its creators say the platform trains Qwen-3.8-27B on environments agents develop and adds evaluation scores to a leaderboard.
AI
Its creators say the platform trains Qwen-3.8-27B on agents’ environments and adds evaluation scores to a leaderboard.
AI
A post announcing the explorer says the Hugging Face Hub has 12M-plus reinforcement-learning task entries.
Technology
TechCrunch reports that the text-only model has 501 billion total parameters, with 23 billion active.
AI
Reflection says Beam uses 23B active parameters and plans to publish its full weights later in October 2026.
AI
Hugging Face’s framework tags identify compatible tasksets, while execution stays with the framework and its runtime.
Technology
In a post announcing the change, Ben Burtenshaw said reinforcement learning environments should work more like datasets on the Hub, which he said already stores, versions, gates, and previews data.
AI
A post says the OpenEnv proxy records token IDs and log probabilities while harness runs remain unmodified.
Technology
A post says the proxy records each model call’s exact token IDs and log probabilities while the harnesses run unmodified.
AI
A user recommends Hugging Face’s MCP server, saying it connects to all major agents in both graphical and terminal interfaces and is maintained by a core MCP maintainer.
AI
An organizer says all six sessions are available on Hugging Face’s YouTube channel and all the code is open, covering agent evaluation through training in real environments.
AI
Mark Zuckerberg posted that Meta opened weights for a local model with another release planned soon.