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Native unified modelling is position as a promising path towards systems that perceive, reason and create within a fully end-to-end framework through SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture.
SequenceO1 achieves efficient ultra-long sequence modeling by compressing user histories while maintaining high performance, revolutionizing recommendation systems at scale.
Models trained with VBVR-Pro not only excel in a controlled task space but also show significant transferability to external benchmarks, revealing critical insights into visual reasoning mechanisms.
Distilling video diffusion models just got a whole lot faster and better at capturing motion, thanks to a new method that directly optimizes score gradients.
