RedNote open-sources dots3-note Preview, 280B multimodal MoE for agents

The first open-weight model in the dots3 family, it runs 16B activated parameters with 512K-token context and text, image, video, and audio understanding. Its TEMPO reinforcement-learning method lets agents critique their own progress and update memory during hour-long tasks.