Radar / AI robotics / FLUX 3 Action
FLUX 3 Action
Black Forest Labs launched FLUX 3 Action on Sept 24: a 7B open-weight world-action robotics model that takes camera frames, robot state, and text instructions and outputs action chunks plus predicted future frames.
Why it matters
First open-weights world-action model at this scale: it co-trains action generation with future-frame prediction, and a release-partner evaluation reported 28/30 successes on a 30-run Franka-arm test.
What you could build with it
Fine-tune the base checkpoint on the user's own robot-arm task data, using its future-frame predictions as an auxiliary signal for anomaly detection in teleop recordings.
Does it hold up?
Promising but early: base checkpoint is an adaptation component, not a complete robot policy; applications must enforce physical safety limits.
Built with FLUX 3 Action
- Independent 30-run Franka-arm evaluation via AlphaSignalAlphaSignal · Reports Positronic Robotics' 30-run Franka-arm test showing 28/30 successes, while noting it was a small release-partner evaluation.
- black-forest-labs/flux-actiongithub · 39 ★ · Official training/inference code for FLUX 3 Action; repo created 2026-09-23.
Learn more
Hugging Face blog: FLUX 3 Action deep dive →
First spotted on huggingface: source.
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