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Both DALL-E and CLIP are “super impressive,” says Karthik Narasimhan, an assistant professor at Princeton specializing in computer vision. He says CLIP builds upon previous work that has sought to train large AI models using images and text simultaneously, but does so at an unprecedented scale. “CLIP is a large-scale demonstration of being able to use more natural forms of supervision—the way that we talk about things,” he says. He says CLIP could be commercially useful in many ways, from improving the image recognition used in web search and video analytics, to makin...

To revist this article, visit My Profile, then View saved stories. In a low-rise building overlooking a busy intersection in Beijing, Ji Rong Wen, a middle-aged scientist with thin-rimmed glasses and a mop of black hair, excitedly describes a project that could advance one of the hottest areas of artificial intelligence. Wen leads a team at the Beijing Academy of Artificial Intelligence (BAAI), a government-sponsored research lab that’s testing a powerful new language algorithm—something similar to GPT-3, a program revealed in June by researchers at OpenAI that digests large amounts of t...