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In this AI Research Roundup episode, Alex discusses the paper: 'JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence' Current vision-language models are limited by turn-based interactions, preventing them from perceiving real-time, time-critical events. To solve this, researchers introduced JoyAI-VL-Interaction, an open-source, 8B-scale, vision-first streaming model that decides every second whether to stay silent, speak, or delegate tasks. The system processes continuous video cost-effectively using AdaCodec, which dynamically compresses predictable frames into fewer tokens. It was trained on over 4 million time-aligned clips and optimized for decision-making and timing using reinforcement learning with Group Relative Policy Optimization on the EasyVideoR1 framework. Paper URL: https://arxiv.org/abs/2606.14777 #AI #MachineLearning #DeepLearning #VLM #ComputerVision #ReinforcementLearning Resources: - GitHub: https://github.com/jd-opensource/JoyAI-VL-Interaction

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