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Last night, it was the fourth day of OpenAI's 12-day continuous shift. OpenAI was prepared to innovate productivity. OpenAI announced its "New Ways of ChatGPT Writing and Programming" Canvas in October. Now, users can complete writing and coding projects with ChatGPT, which is no longer limited to simple chat. Canvas can help users work efficiently with large models.

Secondly, domestic head enterprises are also active. On December 10th, PixelDance, a video generation model in ByteDance, was officially launched for internal testing in the computer version of Bean Bag, and some users have already opened the experience portal. The online video generation function of bean curd computer version can be experienced by some users. The internal test page shows that users can generate ten videos for free every day.The tide of artificial intelligenceFrom December 18th to 19th, the Volcano Engine Winter Force Motive Force Conference will be held in Shanghai. The conference will focus on the frontier hotspots of the big model, directly attack the pain points of the big model era, focus on topics such as cost performance, innovation and security, and interpret Volcano Engine's full-stack AI capabilities. At the same time, Volcano Engine also invited big coffee makers from games, smart terminals, education, retail and other industries to explore the reconstruction of products and technologies in the AI era and talk about new opportunities for enterprise transformation.

Stimulated by this news, the artificial intelligence sector broke out again today, and there were many daily limit prices in the whole sector, and more stocks rose by more than 5%.AI and robots achieve each other and go hand in hand!Last night, it was the fourth day of OpenAI's 12-day continuous shift. OpenAI was prepared to innovate productivity. OpenAI announced its "New Ways of ChatGPT Writing and Programming" Canvas in October. Now, users can complete writing and coding projects with ChatGPT, which is no longer limited to simple chat. Canvas can help users work efficiently with large models.