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  "text": "Yann LeCun 🤝 Saining Xie\n\ninsane crossover of the 2 biggest visual representation researchers in the AI field\n\n“Beyond Language Modeling: An Exploration of Multimodal Pretraining”\n\nRight now, most multimodal models are basically a language model with a vision adapter bolted on, so they can describe images, but they don’t really think in images or video.\n\nThis paper shows what happens when you do it the hard way: train one model from scratch on text, images, and video with a unified setup.\n\nThey key idea is if you give the model a good visual internal format and it can use vision for both understanding and generating.\n\nAdditionally, multimodal data can improve language instead of distracting it, and mixture-of-experts lets you scale vision’s huge data intake without bloating everything else.\n\nThis paves the way towards changing the vision paradigm from “captioning add-on” model to native multimodal foundation model.",
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