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There are three main changes in this release: first, Canvas is fully open and has been directly integrated into the main functions of ChatGPT; Second, the code function has been improved, and now Python code can be run directly on Canvas. Thirdly, Canvas can now be called by Custom gpt.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.From 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.

There are three main changes in this release: first, Canvas is fully open and has been directly integrated into the main functions of ChatGPT; Second, the code function has been improved, and now Python code can be run directly on Canvas. Thirdly, Canvas can now be called by Custom gpt.Artificial intelligence can be said to be positive. OPENAI live broadcast is one of them. In addition to the projects that have already been released, Guosheng Securities believes that there will still be many exciting contents released in the follow-up time of OpenAI's 12 th event. Their predictions for possible release contents include: video generation model Sora, Agent tool Operator, VideoChatGPT, AI search browser, painting model DALL·E 4, 3D generation model and robot. This conference of OpenAI will bring a major breakthrough to the development of the AI industry in the application side. Under healthy competition, it may also promote other overseas large model manufacturers such as Google and Anthropic to release important progress in the near future. It is suggested to pay attention to the development opportunities of AI applications in various fields.Third, heavy meetings continue. The news shows that on December 14th, Shengsi Artificial Intelligence Framework Summit will discuss the development trend of AI technology and industrial opportunities. On 18th-19th, Volcano Engine will hold the Winter FORCE Motive Conference-a special forum on video cloud and edge cloud of "Smart Leap Horizon and Smart Convergence Edge".

In early trading today, the main line in the market is still around artificial intelligence and robots. Robot concept stocks are active again and again, and Great Wheel Intelligence, Ningbo Jingda, Kelier and Keli Sensing have reached new heights. As for artificial intelligence, there has been another wave of daily limit, and stocks such as Runxin Technology, Dahua Intelligent, vision china and Keda Dachuang have soared. Judging from the incident, the drive is also very obvious.Fourth, artificial intelligence has significantly enhanced the driving force of investment, financing and industry. Recently, Zhongke Wenge, a decision-making intelligent technology and application service provider, completed strategic financing of over 100 million yuan, which was invested by Beijing Artificial Intelligence Industry Investment Fund. Driven by the continued strong demand for artificial intelligence chips, TSMC's revenue increased by 34% year-on-year.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.