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Hugging Face (@huggingface) on X

Hugging Face announces an open approach to multi-harness RL: training a single model with reinforcement learning across any task set, run inside the actual agent harnesses practitioners use day-to-day such as Claude Code, Codex, and OpenCode, rather than a synthetic training-only environment. The pitch is that a model's behavior varies significantly depending on the harness it's deployed in, so RL training needs to account for harness-specific dynamics to transfer well to real usage.