(1/6) How do you build a video LLM that decouples vision from language — instead of jamming it all into one context window? Our team at OpenMOSS open-sources MOSS-VL, a cross-attention multimodal model with strong video understanding results. Architecture and benchmarks in thread.

🚨AI can learn scientific taste. 🔬🤖 Great scientists have strong judgement and foresight, closely tied to what we call scientific taste. Here, we use the term to refer to the capacity to judge and propose research ideas with high potential impact. However, most relative research focuses on improving an AI scientist's executive capability, while enhancing an AI's scientific taste remains underexplored. In this work, we propose Reinforcement Learning from Community Feedback (RLCF), a training paradigm that uses large-scale community signals as supervision, and formulate scientific taste learning as a preference modeling and alignment problem. For preference modeling, we train Scientific Judge on 700K field- and time-matched pairs of high- vs. low-citation papers to judge ideas. For preference alignment, using Scientific Judge as a reward model, we train a policy model, Scientific Thinker, to propose research ideas with high potential impact. Experiments show Scientific Judge outperforms SOTA LLMs (e.g., GPT-5.2, Gemini 3 Pro) and generalizes to future-year test, unseen fields, and peer-review preference. Furthermore, Scientific Thinker proposes research ideas with higher potential impact than baselines. Our findings show that AI can learn scientific taste, marking a key step toward reaching human-level AI scientists. We are no longer just building AI that automates the execution of science. We are building AI that can automate the direction of science. Scientific taste is no longer a human monopoly. We have open-sourced everything. Come build the future of AI scientists with us! #AutoResearch #AI #Agent #VibeResearch

CVPR2026 🎉 Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm 🌟We use video frames as a unified medium for text and vision reasoning. 🤯 🔥Video model (Sora-2) beats GPT-5 by 10% on Eyeballing Puzzles! 🧵arxiv.org/abs/2511.04570 (1/6) #CVPR2026 #seedance2 #Multimodal #VideoGeneration #Sora2 #Reasoning #LLM #AI