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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.The tide of artificial intelligence

The tide of artificial intelligenceIn 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.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".

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.Positive and continuousLast 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.